Publication Type : Journal Article
Publisher : International Journal of Computer Applications
Source : International Journal of Computer Applications (0975 - 8887), Volume 24, Number 2 (2011)
Url : https://www.researchgate.net/publication/265205496_Hardware_Implementation_of_Edge_detection_on_Hexagonal_Sampled_Image_Grids
Keywords : CLAP algorithm, FPGA implementation of CLAP algorithm., Hexagonal image processing
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2011
Abstract : Increasing Processing capabilities of graphic devices and recent improvements in CCD technology have made hexagonal sampling attractive for practical applications. Also, hexagonal representation has special computational features that are pertinent to the vision process. This paper describes Edge detection operation on hexagonally sampled images and its hardware implementation based on Cellular Logic Array Processing (CLAP) algorithm. This architecture builds up a virtual hexagonal grid system on the memory space of computer and processing algorithms can be implemented on such virtual spiral space, thereby decreasing the computational complexity. These operations were done on hexagonal sampled grid using MATLAB version 7 and the results were compared with rectangular sampled grid. MODELSIM and Quartus II software were used for analysis and synthesis. The performance was tested using Altera Cyclone II FPGA. It was observed from the results that there is a marginal improvement while processing with hexagonal sampled grid. Hardware utilization is found to be less for the image sampled on hexagonal grid compared with rectangular grid. General Terms Image processing, Edge detection, VLSI architecture. Keywords Hexagonal image processing, CLAP algorithm, FPGA implementation of CLAP algorithm.
Cite this Research Publication : S. Veni, .A.Narayanankutty, K., and Raffi, M., “Hardware Implementation of Edge detection on Hexagonal Sampled Image Grids”, International Journal of Computer Applications (0975 - 8887), vol. 24, 2011.