My Published Papers

Paper Title: Design of Sobel operator based image edge detection algorithm on FPGA
Published by: IEEE
Abstract: Real-time image processing applications requires processing on large data of pixels in a given timing constraints. Reconfigurable device like FPGAs have emerged as promising solutions for reducing execution times by deploying parallelism techniques in image processing algorithms. Implementation of highly parallel system architecture, parallel access of large internal memory banks and optimization of processing element for applications makes FPGA an ideal device for image processing system. Edge detection is basic tool used in many image processing applications for extracting information from image. Sobel edge detection is gradient based edge detection method used to find edge pixels in image. This paper presents a design of a Sobel edge detection algorithm to find edge pixels in gray scale image. Xilinx ISE Design Suite-14 software platforms is used to design a algorithm using VHDL language. MATLAB software platform is used for obtaining pixel data matrix from gray scale image and vice versa. Xilinx FPGAs of family Vertex-5 are more suitable for image processing work than Spartan-3 and Spartan-6.

Link: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6949951&queryText%3Dchaple

Paper Title: Image Edge Detection using Sobel Operator Based on FPGA
Published by: Elsevier Publication
Abstract: Image processing algorithm implemented in reconfigurable device like FPGA have emerged as most viable solution for improving performance of image processing systems. On FPGA highly parallel system architecture can be implemented to achieve real-time requirement of system and processing element can be optimized for the application. Edge detection is a fundamental tool
used in image processing applications to extract information from image frames. Sobel edge detection is method to find edge pixel in an image. This paper presents the design of gradient based edge detection algorithm using Sobel operator on reconfigurable device FPGA. VHDL language is used to developed edge detection algorithm. This paper focused on edge detection of gray scale image.

Link: http://www.elsevierst.com/conference_book_download_chapter.php?cbid=87#chapter34



Paper Title:Comparison of Robert, Prewitt, Sobel operator based edge detection methods for real time uses on FPGA
Published by: IEEE
Abstract: Image processing has applications in real time embedded systems. Real time image processing requires processing on large data of image pixels in a stipulated time. Reconfigurable device such as FPGAs can be program to process on large image data and required processing time on image can be reduced by deploying parallelism, pipelining techniques in algorithm. Edge detection is very basic tool used in many image processing. Robert, Prewitt, Sobel edge detection are gradient based edge detection methods used to find edge pixels in an image. This paper presents comparisons of Robert, Prewitt, Sobel operators based edge detection techniques for real time uses. Edge detection algorithms are written with the help of hardware descriptive language VHDL. Xilinx ISE Design Suite-13 and MATLAB software platforms are used for simulation purpose. This paper focus on edge detection of gray scale image.

Link: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7095920&queryText%3Dictsd+chaple