Reconnecting Broken Edges in Canny Edge Detection by using Modified Ant Colony Optimization

dc.contributor.author	Bade, Abdullah
dc.contributor.author	Ming Kai, Liew
dc.date.accessioned	2022-12-20T03:07:55Z
dc.date.available	2022-12-20T03:07:55Z
dc.date.issued	2022-12-20
dc.identifier.uri	http://oer.ums.edu.my/handle/oer_source_files/2184
dc.description.abstract	In digital image, edge is the area that shows the boundary between two regions. It is formed when there is a sudden change of intensity within the digital image. In order to identify the edges, edge detection is used. Among the edge detection techniques, Canny edge detection is probably the most popular and the most effective edge detection technique. However, the output of Canny edge detection is still not perfect. It contains some issues in its algorithms, which results in the formation of broken edges in its output. Therefore, in this project, the problem of the broken edges in Canny edge detection will be reduced.	en_US
dc.language.iso	en	en_US
dc.subject	digital image	en_US
dc.subject	edge detection techniques	en_US
dc.title	Reconnecting Broken Edges in Canny Edge Detection by using Modified Ant Colony Optimization	en_US
dc.type	Presentation	en_US