Yasri, I. and Hamid, N.H. and Yap, V.V. (2009) An FPGA implementation of gradient based edge detection algorithm design. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Edge detection operation is a method to detect the presence of object image that commonly used in the field of image processing. The most well known technique for edge detection is gradient-based. There are number of methods that have been used to make an implementation of a gradient-based edge detection algorithm design. This paper proposes a design and implementation of gradient based edge detection algorithm using of Sobel operator. An image is captured by a CMOS camera and converted into grayscale to obtain image intensity for edge detection. The Sobel edge detection operator is controlled by Finite State Machine (FSM) which executes a matrix area gradient operation to determine the level of variance through different of pixels and display the result on a monitor. The whole process is performed in the hardware level and implemented on an Altera field programmable gate array platform. The result shows good performance of edge detection with 27MHz clock operation which is able to detect just within 2ms. © 2009 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 14; Conference of 2009 International Conference on Computer Technology and Development, ICCTD 2009 ; Conference Date: 13 November 2009 Through 15 November 2009; Conference Code:79880 |
Uncontrolled Keywords: | CMOS camera; Edge detection algorithms; Field programmable gate array platform; Finite state machines; FPGA implementations; Gradient; Gradient based; Gradient operation; Gray scale; Image intensities; matrix; Sobel edge detection; Sobel operator; Whole process, Algorithms; Contour followers; Design; Field programmable gate arrays (FPGA); Image processing; Mathematical operators; Signal detection, Edge detection |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:48 |
Last Modified: | 09 Nov 2023 15:48 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/583 |