Improved Edge Detection Algorithm Using Ant Colony System
نویسندگان
چکیده
منابع مشابه
Noisy images edge detection: Ant colony optimization algorithm
The edges of an image define the image boundary. When the image is noisy, it does not become easy to identify the edges. Therefore, a method requests to be developed that can identify edges clearly in a noisy image. Many methods have been proposed earlier using filters, transforms and wavelets with Ant colony optimization (ACO) that detect edges. We here used ACO for edge detection of noisy ima...
متن کاملnoisy images edge detection: ant colony optimization algorithm
the edges of an image define the image boundary. when the image is noisy, it does not become easy to identify the edges. therefore, a method requests to be developed that can identify edges clearly in a noisy image. many methods have been proposed earlier using filters, transforms and wavelets with ant colony optimization (aco) that detect edges. we here used aco for edge detection of noisy ima...
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An algorithm for edge detection with low contrast image using improved ant colony optimization is proposed in this paper. In edge detection, some parts of the edge are disappeared or disconnected because of low contrast in their intensities. This paper concentrates to this low-contrast problem. To detect these pixels, the direction tendency of edge lines is computed and ant colony optimization ...
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ژورنال
عنوان ژورنال: The KIPS Transactions:PartB
سال: 2006
ISSN: 1598-284X
DOI: 10.3745/kipstb.2006.13b.3.315