Project on Sobel Edge Detection Using FPGA

Added on - 28 May 2020

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CE 3.1 Project InformationName of the project:Sobel Edge Detection Using FPGALocation of the project:Shanmugha Arts, Science, Technology & Research AcademyUniversity (Electronics Engineering), TanjoreProject Duration:From July of 2013 to December of 2013Organization:Shanmugha Arts, Science, Technology & Research Academy UniversityRole and Designation during the time:Team Member of the projectCE 3.2 Project BackgroundCE 3.2.1 Characteristics of the projectThe project ofSobel Edge Detection Using FPGA was my final project in engineeringcareer. The designing of a Sobel edge detection algorithm for finding the edge pixels in Grayscale image is presented. The software platforms of Xilinx ISE Design suite are utilized fordesigning a specific algorithm by utilizing the language of VHDL. The software platform ofMATLAB is utilized to obtain the pixel data matrix from the Gray scale image and also viceversa. The procedure for the identification of all sharp alterations in the pixels values in respectto the surrounding pixels values is known as edge detection. Detection of Sobel edge is themethod that is in first order derivative as it has been computed by utilizing the digital gradient ofan image.
CE 3.2.2 Objectives developed for the projectThe project ofSobel Edge Detection Using FPGAcomprised of a variety of objectives.My main objectives for this project are as follows:To design a sobel edge detection by utilizing field programmable gate arrayTo search edge pixels in Gray scale image.CE 3.2.4 Project GroupHead ofDepartmentProjectLeaderTeamMemberTeamMemberTeamMemberMEFigure 1: People involved in the projectCE 3.2.4 My responsibilities throughout the projectMy main responsibility was to choose the project topic. I opted for the project ofSobelEdge Detection Using FPGA as I felt that this project would be perfect for our engineeringcareer. I knew that this particular project would be extremely helpful in understanding the entireconcept of sobel edge detection. My next responsibility was to make the report of the project. I
pro actively made the report and it had all the details of a project. As the project was completelybased on the detection of sobel edge, I gave exceptional attention to the entire documentationpart.Not all the materials of the particular project were available with ease for the secludedlocation of my college. It was therefore my job to put together all the project materials. My finalresponsibility was to assist my team leader in this particular project. I made sure that I couldassist him perfectly.CE 3.3 Distinctive ActivityCE 3.3.1 Comprehending the Theory of the projectThe project ofSobel Edge Detection by Using FPGA was perfectly developed forproviding practical solutions to problems. We proposed the edge detection algorithm for thedetection of the edges of the Gray scale medical images that are eventually based on theinformation theory. For the edge of the medical images, the detection algorithm like Sobel isutilized. The Field Programmable Gate arrays have huge amount of internal memory banks thatcould be easily enabled in parallel for executing the functionalities in some of the clock cycleswhile the chronological functioning processor needed numerous clock cycles in consumption oflow power; therefore, the Field Programmable Gate Arrays are extremely power efficient. Theutilization of the Field Programmable Gate Arrays in the systems of image processing allowsrapid prototyping and also reduces the time to the market cost. The hardware requirements of thisparticular project mainly include the OmniVision 7670 Camera Chip, the Field ProgrammableGate Arrays and the UART. The software requirements of this project mainly include Xilinx ISEDesign suite and MATLAB.
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