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  • 标题:Ant Colony Optimization : A Technique used for Image Processing
  • 本地全文:下载
  • 作者:Simranjeet Kaur ; Prateek Agarwal ; Rajbir Singh Rana
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2011
  • 卷号:2
  • 期号:2(Version 1)
  • 出版社:Ayushmaan Technologies
  • 摘要:Ant colony optimization (ACO) is a technique which can be used for various applications. Ant colony Optimization is an optimization technique that is based on the foraging behaviour of real ant colonies. Ant colony optimization is applied for the image processing which are on the basis continuous optimization. This paper proposes an ant colony optimization (ACO) based algorithm for continuous optimization problems on images like image edge detection, image compression, image segmentation, structural damage monitoring etc in image processing .This paper represents that how ACO is applied for various applications in image processing. The algorithm can find the optimal solution for problem. The results show feasibility of the algorithm in terms of accuracy and continuous optimization
  • 关键词:ACO (Ant Colony Optimization); CACO (Continuous ant Colony;optimization); Image compression.y.
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