• Computer Science, Engineering
  • Published in
    International Symposium on…
    2007
  • DOI:10.1117/12.748056

Textural defect detect using a revised ant colony clustering algorithm

@inproceedings{Zou2007TexturalDD,
  title={Textural defect detect using a revised ant colony clustering algorithm},
  author={Chao Zou and Li Xiao and Bingwen Wang},
  booktitle={International Symposium on Multispectral Image Processing and Pattern Recognition},
  year={2007}
}
We propose a totally novel method based on a revised ant colony clustering algorithm (ACCA) to explore the topic of textural defect detection. In this algorithm, our efforts are mainly made on the definition of local irregularity measurement and the implementation of the revised ACCA. The local irregular measurement defined evaluates the local textural inconsistency of each pixel against their mini-environment. In our revised ACCA, the behaviors of each ant are divided into two steps: release… CONTINUE READING

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