A Novel Image Edges Detection by Using Gaussian Functions

Khaleaf, Hussain K. and Kamarul Hawari, Ghazali and Ajisman, Apen (2013) A Novel Image Edges Detection by Using Gaussian Functions. International Journal of Technology Management, 2. pp. 1-7. ISSN 2289-2753. (Published)

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DOI/Official URL: http://www.ump.edu.my/


Nowadays, the Edge detection is a very important process and treatments in biomedical image's application to the understanding and analysis of distinction objects in digital images. Edge detection is discontinuity or sudden change process of certain visual properties (such as the intensity of lighting, composition, color). In this study, edge detected of digital color images using a Gaussian function was proposed. First, the least squares' method used to compress the image data. Second, color image edge detected by using Sobel's operator by changing the intensity of homogeneous regions. Finally, the result shows the effectiveness and capability of the proposed to detect the real edges in color photographs with different color compared with standard methods to detect the edge.

Item Type: Article
Uncontrolled Keywords: edge detection, Sobel's operator, Gaussian function
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TS Manufactures
Faculty/Division: Faculty of Electrical & Electronic Engineering
Faculty of Manufacturing Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 22 Aug 2016 02:25
Last Modified: 21 Feb 2018 04:59
URI: http://umpir.ump.edu.my/id/eprint/14098
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