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8 June 2012 Edge detection using ant colony system algorithm
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Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83341X (2012) https://doi.org/10.1117/12.952480
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
Abstract
In this paper, ant colony system algorithm (ACSA) is used to detect the edge of grayscale images. The novelty of the proposed method is that the artificial ants used for detecting the edges of images have global memory capacity. Moreover, a good result has been gotten by using only one ant. A large number of experiments have been done to determined suitable parameters of ACSA. The results of the experiments show the effectiveness of the proposed method.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ming Shao and Xianghong Xu "Edge detection using ant colony system algorithm", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341X (8 June 2012); https://doi.org/10.1117/12.952480
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