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JFBI -> 2015, Volume 8 Issue 3, 30 September 2015  
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Numerical Simulation of Orthotic Insole Deformation for Diabetic Foot
W. T. Lo, K. L. Yick, S. P. Ng, J. Yip
JFBI. 2015, 8 (3): 401-411.   DOI: 10.3993/jfbim00127
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Show Abstract ( 63 )
Custom-made orthotic insoles are routinely used in the treatment of the diabetic foot to reduce plantar pressure so as to minimise the risk of neuropathic ulceration. Due to the 3D geometry shape of the foot and insole, the measurement of the foot-orthosis interface pressure at different plantar regions in relation to insole material fabrication is vital for effective foot orthotic treatment. In the present study, a model of a custom-made three-layer contoured insole that simulates foot-insole interactions is developed by using finite element analysis. With the use of the insole material properties and plantar pressure distribution during balanced standing as the inputs, the magnitude of the deformity and the compressive stress distributed across the regions of the insole made of different combinations of materials are simulated. After validation, the simulated deformation shows good agreement with the result obtained by image processing technology. The simulation model not only provides a promising solution to the modification of materials for insoles by predicting and visualising insole deformation patterns, but also effectively optimises the design and development process of orthotic insoles without the need to fabricate and test the insoles in a series of wear trials.
Rapid 3D Human Body Modeling and Skinning Animation Based on Single Kinect
Kunlin He, Aihua Mao, Jie Luo, Guiqing Li
JFBI. 2015, 8 (3): 413-421.   DOI: 10.3993/jfbim00134
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Show Abstract ( 188 )
Dynamic geometries acquisition of human is one of the most popular topics in the fields of computer vision and computer graphics. This paper presents the related techniques on rapidly generation of human model sequences and makes skinning animation using single Kinect. In specified applied conditions, it has good animation effects and interaction functions. As the comparatively low request on resolution by animation, using the Kinect can greatly save human body animation production time and reduce production cost.
Virtual Mannequins Retrieval Based on Cluster-based Panoramic Views
Kuansheng Zou, Zhaojun Zhang, Jianhua Zhang, Chee-Kooi Chan,Zengqiang Chen
JFBI. 2015, 8 (3): 423-431.   DOI: 10.3993/jfbim00137
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Show Abstract ( 40 )
With the rapid development of 3D scanners, graphic accelerated hardware and modeling tools, the application of 3D model database is growing in both numbers and sizes, e.g. 3D head and body scan datasets. In this paper, a novel method by using cluster-based panoramic views is proposed for retrieving 3D virtual mannequins. First, a Young Chinese Female Virtual Mannequin (YCFVM) database is established by analyzing various 3D body scan data; second, panoramic views of virtual mannequins are obtained, and the Fourier and Wavelet features of the panoramic views are extracted; third, a multi-scale indexing of the YCFVM dataset is generated for fast matching by using fuzzy clustering for the Wavelet features; finally, the Fourier descriptor is embedded into the feature matching with the generated indexing for obtaining more accurate retrieval results. Experiment results show that the proposed method can achieve better retrieval performance than other descriptors used for virtual mannequin retrieval.
Texture Synthesis Based on Vector Field and Application in Textile and Clothing
Xingpei Zhu, Ruomei Wang, Fan Zhou
JFBI. 2015, 8 (3): 433-441.   DOI: 10.3993/jfbim00140
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Show Abstract ( 51 )
Texture is indispensable in image-based rendering. In order to obtain realistic and aesthetic texture, a simple and effective texture synthesis method based on vector field is presented in this paper. A sufficient large, progressively-variant, aperiodic texture can be generated from a small texture sample based on the proposed method. The main contributions in this method are anisometric synthesis and appearance control. Anisometric synthesis is attained by using an expanded sample structure called the warping image stack, together with a quadrant searching step and a continuity matching approach. Appearance control is achieved by associating each partition of the texture to a certain guiding vector, which arranges the partition to have corresponding local rotation and scaling. The experiments show that our method can produce textures with natural and flexible effect.
Plate Compression Analysis of Woven Spacer Fabrics
Zhaoqun Du, Ming Li, Yuanxin Wu, Linge He, Pengfei Liu
JFBI. 2015, 8 (3): 443-452.   DOI: 10.3993/jfbim00129
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Show Abstract ( 78 )
Diameter of spacer filament, thickness of spacer fabric, and warp threads per centimeter and weft threads per centimeter on plate compression of woven spacer fabric was studied by finite element method. Compression force and strain curves were acquired by ABAQUS software and compression indices were featured, including compression work, maximum compression force and compression index. Small relative errors of compression indices between experimental and theoretical results demonstrated that it was feasible to use finite element method to predict plate compression performance of spacer fabric. Woven spacer fabrics with different structure were designed and theoretical results showed that the thicker the spacer filament, the greater the three compression indices. Moreover, compression stress distribution of spacer fabrics indicated that stress of spacer filament was much larger than that of warp threads and weft threads of surface fabrics.
Research on Equivalence of SVD and PCA in Medical Image Tilt Correction
Meisen Pan, Fen Zhang
JFBI. 2015, 8 (3): 453-460.   DOI: 10.3993/jfbim00132
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Show Abstract ( 45 )
In the process of medical imaging, often because of some disturbance, the medical images frequently have some undesirable tilt, which has costly negative effect on the following image alignment and fusion. In order to solve the tilt problem, Singular Value Decomposition (SVD) and Principal Component Analysis (PCA) are studied and their relationship between them is discussed, and then the medical image correction tilt process is divided into five main stages. Among these stages, the key tasks focus on finding the centroid and obtaining the tilt angle of a medical image. We use SVD and PCA to compute the eigenvectors of the coordinates of a medical image respectively to get the tilt angle. The experimental results reveal that the methods mentioned above are effective for correcting the tilt medical images and also prove the equivalence of SVD and PCA in medical image tilt correction.
The Application of Frequency Slice Wavelet Transform in ECG Signal Feature Extraction
Nan Li, Zhaochun Yang
JFBI. 2015, 8 (3): 461-472.   DOI: 10.3993/jfbim00133
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Show Abstract ( 62 )
According to the difference of time-frequency characteristics of ECG (electrocardiogram) signal and jamming signal, FSWT (Frequency Slice Wavelet Transform) is used to deal with the ECG signal denoising and feature extraction. FSWT algorithm has a good time-frequency aggregation and can freely choose the frequency range for signal reconstruction to extract characteristic information flexibly and accurately. Firstly, ECG signal is decomposed to get the whole time-frequency distribution characteristic by using FSWT and carries on the detailed analysis. Frequency section interval is determined according to frequency distribution characteristics of the jamming signal, disturbance signal is refactored and isolated through the time-frequency filter and the inverse transformation of FSWT. So it can realize the ECG signal denoising and feature extraction. The proposed algorithm is compared with wavelet threshold denoising method, Empirical Mode Decomposition (EMD) and average empirical mode decomposition (AIMF). The simulation results show that, the denoising effect of FSWT is superior to other methods for ECG signal, and gives the time-frequency distribution characteristics of ECG signal.
Investigation on Reconstruction of Three-dimensional Temperature Field in a Biological Body with Finite Element Method
Fuli Ye, Guilian Shi
JFBI. 2015, 8 (3): 473-481.   DOI: 10.3993/jfbim00135
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Show Abstract ( 37 )
The noninvasive detection and reconstruction of 3D temperature field in a biological body have received increasing attention in bio-medical engineering field. Based on the classical Pennes bioheat transfer equation, the heat transfer mathematical model fitting for breast tissue is founded in this paper. Meanwhile, using the large analysis software ANSYS, the modeling and simulating of heat transfer in pork and intravital breast tissue are presented combining with Finite Element Method (FEM). The result shows, the 3D temperature field can be well reconstructed efficiently, which will play a positive role in promoting many research field such as tumor thermotherapy, cryosurgery, cryo-preservation of biomaterial and so on.
Adhesion Segmentation Algorithm and Fluorescence Intensity Extraction for Human Umbilical Vein Endothelial Cells
Ping Wang, Hui Feng, Lu Xu
JFBI. 2015, 8 (3): 483-492.   DOI: 10.3993/jfbim00144
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Show Abstract ( 61 )
Due to the complexity of adhesion and irregularity of human umbilical vein endothelial cells, we propose a novel cell image segmentation technique by combining cell image with corresponding nucleus image based on label-controlled watershed algorithm instead of segmenting the cell image directly. Moreover, nucleus segmentation and location in stained cells are introduced. The most fascinating advantage of the combined method is its accurate positioning, which ensures that the center of each cell could be positioned accurately and is conducive to the adhesion and irregular cells segmentation. To determine the activation time of nuclear factor kappa B and its signaling pathway blocking mechanism, relevant fluorescence parameters extraction approach is also discussed. Performance and result analysis demonstrate that this algorithm is valid, precise, and very helpful to further cell analysis and medical diagnosis.
Reconstruction of 3D Foot Model from Video Captured Using Smartphone Camera
Kun Hu, Yueqi Zhong, Ge Wu
JFBI. 2015, 8 (3): 493-500.   DOI: 10.3993/jfbim00145
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Show Abstract ( 55 )
In this paper, a method is proposed to reconstruct 3D foot model using video captured by smart phone. Scale-Invariant Feature Transformation followed by feature matching were adopted to generate consistent tracks. These tracks were further processed to generate 3D points in terms of Structure-from-motion (SFM). The accuracy of the proposed method was evaluated by comparing the difference between the reconstructed foot and the scanned foot of an artificial socked foot. The mean error between them was 0.15 mm (SD=1.42 mm). Almost 80\% data had an error less than 1.5 mm. The experimental results indicated that a mapped 3D foot model could be reconstructed by this simple and efficient method, and the accuracy of this method is enough for foot measurement and footwear design.
Study on Human Body Contour Extraction from Images Based on HSV Color Model
Min Yang, Hongqin Dai, Panpan Guo, Guolian Liu
JFBI. 2015, 8 (3): 501-511.   DOI: 10.3993/jfbim00148
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Show Abstract ( 87 )
Color is one of the most powerful and important types of visual information. Color information of images plays an important role in human body contour extraction process. In most of the current human body contour extraction systems, color images are converted into gray images first and then human body contours are extracted from these gray images. In this process, a large mount of color information is lost and the extraction results are inaccurate. Besides, strict requirements are put forward about objective conditions when taking pictures in these systems, such as background, dress, pixel of cameras, light and so on. In order to solve these problems, HSV color model in line with human visual habits was adopted to extract human body contours in this paper. Human body contours were directly extracted from color images by analyzing and changing H, S and V values. MATLAB software was used to write a human body contour extraction program. Results of experiments show that the accuracy of extraction is improved. The requirements about the background, dress, pixel, light and other factors are reduced through adopting HSV color space. Automatic human body contour extraction under complex conditions is realized in this paper, which can lay a foundation for the development of remote automatic human body measurement systems. Research results of this paper provide a reliable basis for the development of apparel electronic-commerce and personalized customization.
Efficient Penetration Resolving in Multi-layered Virtual Dressing Based on Physical Method
Shuixian Hu, Ruomei Wang, Fan Zhou
JFBI. 2015, 8 (3): 513-520.   DOI: 10.3993/jfbim00124
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Show Abstract ( 53 )
Around the research of garment simulation, multi-layered virtual dressing is still a difficult issue, one big reason is that the effect of penetration always appears between adjacent garments at the beginning of the virtual dressing with existing garments. In this paper, a simple system for physical based multi-layered virtual dressing is designed. At the same time, a novel method for efficiently resolving the penetration problem appeared between multi-layered garments during simulating is presented. Of the method, a filter algorithm for identifying penetration points during collision detection is provided. The experiment results show that this method is practical and easy-use with generating realistic effects.
An Iterative Image Reconstruction for Differential X-ray Phase-contrast Computed Tomography
Fengrong Sun, Paul Babyn, Tetsuya Yuasa, Mingqiang Zhang, FengQin,Naoki Sunaguchi, Khan A. Wahid, Masami Ando
JFBI. 2015, 8 (3): 521-528.   DOI: 10.3993/jfbim00125
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Show Abstract ( 44 )
The last decade saw the growth of the use of X-ray Phase-contrast Computed Tomography (PCT) imaging. Differential X-ray Phase-contrast CT (DPCT) has shown bright prospect for clinical use in recent years, but how to best reconstruct the phase-contrast tomographic image from incomplete or inconsistent projections remains challenging. We designed an iterative image reconstruction method for DPCT utilizing compressed sensing. This proposed method reconstructs the phase-contrast tomographic image of the refractive index decrement gradient with acceptable accuracy and image quality even when the projection data is undersampled or noisy. Real data experiments indicate this proposed method is accurate and practical and outperforms the analytic filtered back-projection reconstruction. This method shows potential for X-ray DPCT facilities in low dose tomography and fast acquisition imaging.
Study on Influences of Linen Fiber Modification Treatment on Dressing Prickle Sensation
Caiyuan Kuang, Guolian Liu, Xin Lu
JFBI. 2015, 8 (3): 529-537.   DOI: 10.3993/jfbim00151
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Show Abstract ( 35 )
Prickle sensation is a key factor influencing the comfort of dressing. In this paper, the diameter, quantity and fiber bending property of hairiness on the surface of linen fabrics are measured after modification treatment of linen fiber. Meanwhile, the prickle sensation of linen clothing is evaluated by dressing experiments. And the changes of surface hairiness, fiber bending performance and their influences on the dressing prickle sensation of linen clothing are analyzed before or after the modification treatment of linen fiber. The results show that the diameter of the surface hairiness becomes thinner and much more in quantity after modification treatment, but the bending rigidity decreases. Furthermore, the perception value of prickle sensation of linen clothing after modification treatment decreases whether it is under sweating condition or not.
Research on DNA Sequence Homology Based on Second Order Markov Model
Junyan Zhang, Chenhui Yang
JFBI. 2015, 8 (3): 539-546.   DOI: 10.3993/jfbim00154
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Show Abstract ( 43 )
DNA sequence homology is a critical and fundamental problem in bioinformatics. In this paper, we solve this problem by use of the second order Markov modal instead of traditional sequence alignment because DNA character sequence meets the Markov properties. Hence, the characteristics of DNA sequences are represented by using their two-step transition probabilities matrices. The similarity degree measurement between two different DNA sequences is defined. Our DSHM algorithm is put forward which is implemented by MyEclipse. The contrast experiments are done between DSHM and other two methods. The experimental results show that DSHM algorithm can determine DNA sequence homology correctly in the more effective way.
Automated Vertebrae Extraction Using Watershed Segmentation and Tree-based Modelling Approach
Ili Ayuni Mohd Ikhsan, Aini Hussain, Mohd Asyraf Zulkifley,Aouache Mustapha
JFBI. 2015, 8 (3): 547-555.   DOI: 10.3993/jfbim00155
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Show Abstract ( 34 )
Vertebra segmentation and extraction are essential steps for automated vertebrae fracture assessment system. This study focuses on vertebra segmentation, which is a challenging task due to high noise and poor contrast of X-Ray images. The objective of this study is to develop and test an automated cervical vertebrae extraction to facilitate the medical researchers and physicians. The novelty of the proposed method is the combination of watershed segmentation and tree-based modelling algorithm. The proposed method has been successfully applied to a set of 50 cervical X-Ray images. Five performance metrics are calculated, which are accuracy, sensitivity, specificity, correlation and error where the best obtained results are 0.9886, 0.0655, 0.99, 0.7246 and 0.01135, respectively.
3-D Total Generalized Variation Method for Dynamic Cardiac MR Image Denoising
Mingfeng Jiang, Lulu Han, Yaming Wang, Yu Lu, Nanying Shentu,Guohua Qiu
JFBI. 2015, 8 (3): 557-564.   DOI: 10.3993/jfbim00156
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Show Abstract ( 90 )
Total Generalized Variation (TGV) regularization model is one of the most effective methods for MR image denoising. However, for 3D dynamic MR image, the TGV regularization model cannot use the correlated information of each slice. Therefore, in order to effectively denoising the dynamic MR image, 3D Total Generalized total Variation (3D-TGV) is proposed to denoise different kinds noise in the dynamic MR image. Experimental results show that, compared with the Total Variation (TV) and Total Generalized Variation (TGV), the proposed 3D TGV method has a better performance, and can significantly improve the denoising effect, with higher Signal-to-noise Ratio (SNR) and fewer artifacts.
A Parallel Algorithm for Detecting Complexes in Protein-protein Interaction Networks with MapReduce
Zhenmei Yu, Zhangxu Li
JFBI. 2015, 8 (3): 565-574.   DOI: 10.3993/jfbim00123
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Show Abstract ( 26 )
Detecting protein complexes from Protein-protein Interaction (PPI) networks has been the focus of many recent efforts on protein. With the appearance of big data and large scale PPI networks, traditional sequential methods, which analyze interaction networks and detect protein complexes, do not utilize high performance computing. In this paper, we propose a parallel algorithm using cloud computing method to improve the computational efficiency and detect protein complexes. Because MapReduce programming model simplifies the implementation of many data parallel applications, firstly we use it to calculate the value of each edge and the value of each node from PPI networks, then expand complexes. At last, we perform the algorithm on different data to test the speedup of the algorithm. Moreover, through the parallel algorithm is compared with sequential method, experimental results show that the running time of parallel algorithm is short. We get a conclusion that parallel algorithm can also accurately assign proteins with similar functions to a complex.
Extraction Center Pixel Coordinates from Human Body Laser Stripe Image with Bezier Curve Fitting Method
Yue Wang, Shoushan Jiang
JFBI. 2015, 8 (3): 575-584.   DOI: 10.3993/jfbim00126
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Show Abstract ( 57 )
The main goal of this study is to improve the performance of laser rotating of non-contact human body scanning system, and to get the true and accurate 3D information of measured human body. In the aspect of obtaining the human body pixel coordinates, the extraction accuracy of laser stripe center is one of the important factors to affect the measurement accuracy. Therefore, this paper mainly discussed the algorithm of obtaining and the curve fitting human body scanning laser stripe center pixel coordinates. In the analysis of the characteristics of the human body laser stripe images, put the improved column processing algorithm to compute stripe center position. Using the Bezier curve fitting of the human body scanning light trap center line, effectively improved the smoothness of the human body scanning light trap center line.
Finite Element Prediction Model of Surface Temperature Rise Based on Fractal Theory
Wei Wu, Guiming Chen, Boxuan Fan, Wei Wang
JFBI. 2015, 8 (3): 585-592.   DOI: 10.3993/jfbim00149
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Show Abstract ( 71 )
The prediction of surface temperature induced by frictional heating is of significance for evaluating the serious thermal wear, erosion and lubrication failure for industrial application and design. Temperature prediction model was established with two steps. Local temperature was calculated firstly with the real contact area based on the fractal analysis. Then, the finite element prediction model were established with the above value of local temperature, on the basis of wavelet finite element. Finally, the whole temperature of the fractal engineering surface were demonstrated and simulation results were shown. Moreover, orthogonal simulations were conducted to study the influence of the input parameters of fractal dimension, fractal characteristic length and material thermal properties. Results with different cases demonstrated that all the temperature decreased gradually from the contact surface to the bottom and the temperature increased with the rise of heat transfer properties, fractal dimension and fractal characteristic length for the same position. However, heat transfer properties had the most obvious influence on the temperature rise, and the following one was fractal dimension.
Film Flow Field Analysis of Hydrodynamic Polishing Based on FLUENT
Xiulian Zheng, Rui Zhang, Li Zhang, Mingsheng Jin
JFBI. 2015, 8 (3): 593-601.   DOI: 10.3993/jfbim00150
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Show Abstract ( 49 )
The characteristics of film flow field have important effects on the quality of hydrodynamic polishing. Oriented preparation requirements of amorphous film substrate, in order to further study the floating height of hydrodynamic polishing base plate in working conditions, the mathematical model is established and the theoretical analysis has been carried out for the wedge hydrodynamic floating polishing base plate. The relationship between buoyancy and floating height is researched. The floating height is calculated under the known loads, and then the pressure distribution along the circumferential direction of base plate is analyzed. Film flow field is simulated and analyzed using the FLUENT based on the calculated floating height. It indicts that the bearing capacity of wedge combination plane decreases with the increase of floating height, and the downward trend is slow down gradually. The pressure peak distributes near the interface of wedge flow field and parallel flow field. Through the pressure distribution comparison of simulation and calculation, the correctness of the mathematical model and simulation method is verified.
Patterned Fabric Image Retrieval Using Color and Space Features
Junfeng Jing, Qi Li, Pengfei Li, Hongwei Zhang, Lei Zhang
JFBI. 2015, 8 (3): 603-614.   DOI: 10.3993/jfbim00066
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Show Abstract ( 63 )
Image retrieval has been an active research topic in the last decade. As one of the promising approaches, color histogram based image retrieval has been attracted by many researchers. However, it is sensitive to noisy interference and lost any spatial information. To overcome drawbacks, the algorithm combined weighted color histogram with image segmentation is proposed for patterned fabric images in this paper. Firstly, the patterned fabric images are preprocessed using image enhancement. Secondly, color and spatial information features are respectively extracted by weighted color histogram and image segmentation method, which are transformed into feature vectors. Finally, the similarity between objective image and image database is calculated with Euclidean distance. The retrieval results are displayed in decreasing order of similarity. Experimental results, including comparisons with color histogram algorithm and weighted color histogram algorithm, demonstrate the effectiveness of proposal for patterned fabric images.
Corner Detection Using Multi-directional Gabor Filters
Jianhua Wei, Xiangnan Kong
JFBI. 2015, 8 (3): 615-624.   DOI: 10.3993/jfbim00110
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Show Abstract ( 82 )
Exploiting the characteristics of corner, an information entropy-based corner detection algorithm using the multi-directional Gabor filters is proposed in this paper. Different from the methods which detect corners by analyzing plane curve contour shape or finding for local maxima of curvature, the proposed method combines with the gray level changing information at edge contour pixels and pixels around the contour pixels to find corner . Firstly, the Canny edge operator is used to extract edge map and the gaps in the edge map are filled. Secondly, the imaginary parts of Gabor filters are used to smooth the edge pixels and their surrounding pixels along multi-directions. Finally, the gradient direction information entropy at the edge pixels is used to detect corners. Experimental results show that the proposed algorithm attains better detection performance, higher localization accuracy and noise robustness than the existing several algorithms.
A Novel Image Fusion Method Via Ratio Weighted and Condition Weighted Based on Shearlet Transform
Weibin Chen, Lai Zhou, Xin Zhang, Hongbin Gu
JFBI. 2015, 8 (3): 625-633.   DOI: 10.3993/jfbim00118
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Show Abstract ( 56 )
In this paper, a new image fusion method is proposed based on the shearlet transform. The new image is reconstructed by image fusion, which provides richer visual information than the original images. The image could be decomposed by shearlet transform in any scale and any direction, and the detail information can be caught easily. The multi-scale and multiple directions decomposition coefficients are obtained through shearlet transformation. The fusion results are analyzed and compared with the measurement of human visual system and objective evaluation. The experiment result show the advantages of the new fusion method compare to other classical fusion algorithm. The simulation result of the multimodal images are adopted to demonstrate that the algorithm based on shearlet transform is able to obtain fused images of higher clarity and complementary information compared with any other methods.
Table of Contents - JFBI Vol 8 No 3
JFBI. 2015, 8 (3): 1000-1000.
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Show Abstract ( 44 )
JFBI Vol 8 No 3 Cover
JFBI. 2015, 8 (3): 1001-1001.
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Show Abstract ( 31 )

ISSN 1940-8676
JFBI is Ei Indexed Journal
Editor-in-Chief: Prof. Yi Li
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