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)
![[img]](http://umpir.ump.edu.my/style/images/fileicons/application_pdf.png) |
PDF
fkee-2013-Khaleaf-novel image edges detection.pdf Restricted to Repository staff only Download (2MB) | Request a copy |
|
|
PDF
fkee-2013-Khaleaf-novel image edges detection1.pdf Download (506kB) | Preview |
Abstract
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 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |