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  • 标题:Edge Detection in Image corrupted by Gaussian Noise Using Ant Colony Optimization
  • 本地全文:下载
  • 作者:Vaibhav Ranjan ; Avneesh Pandey ; Prakash Chandra Joshi
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:9
  • 页码:3132-3137
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Feature detection and Feature extraction are the major areas of computer vision and image processing. Edges in images provide structural information, feature extraction and object segmentation. However if the image is noisy, its hard to detect edges completely .In this paper; we introduce a new approach to detect edges in noisy images. We apply ant colony optimization algorithm for edge detection in an image having Gaussian noise. Removal of Gaussian noise from image causes lightening of edges and hence edge detection should be done before denoising an image
  • 关键词:Ant Colony Optimization; Gaussian noise; ; Edge; Image edge detection
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