Determination of meat quality by texture analysis
Pattern Recognition Letters
Computation of Two Texture Features in Hardware
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
EUROMICRO '03 Proceedings of the 29th Conference on EUROMICRO
Analog Integrated Circuits and Signal Processing
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
Computer-aided tumor detection in endoscopic video using color wavelet features
IEEE Transactions on Information Technology in Biomedicine
FPGA-based System for Real-Time Video Texture Analysis
Journal of Signal Processing Systems
Hardware Design of Shape-Preserving Contour Tracing for Object of Segmented Images
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Collaboration of reconfigurable processors in grid computing: Theory and application
Future Generation Computer Systems
The Journal of Supercomputing
Collaboration of reconfigurable processors in grid computing for multimedia kernels
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Object recognition using Gabor co-occurrence similarity
Pattern Recognition
Personalized identification of abdominal wall hernia meshes on computed tomography
Computer Methods and Programs in Biomedicine
High performance implementation of texture features extraction algorithms using FPGA architecture
Journal of Real-Time Image Processing
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This paper presents a novel architecture for fast parallel computation of co-occurrence matrices in high throughput image analysis applications for which time performance is critical. The architecture was implemented on a Xilinx Virtex-XCV2000E-6 FPGA using VHDL. The symmetry and sparseness of the co-occurrence matrices are exploited to achieve improved processing times, and smaller, flexible area utilization as compared with the state of the art. The performance of the proposed architecture is evaluated using input images of various dimensions, in comparison with an optimized software implementation running on a conventional general purpose processor. Simulations of the architecture on contemporary FPGA devices show that it can deliver a speedup of two orders of magnitude over software.