Fuzzy-based probabilistic relaxation for textured image segmentation

Chun Shien Lu, Pau Choo Chung

研究成果: Paper

2 引文 斯高帕斯(Scopus)

摘要

This paper describes a Fuzzy-based Probabilistic Relaxation (FPR) for textured image segmentation. The FPR is developed based on an improvement of the conventional probabilistic relaxation which stops after the first few iterations even when the results are still far from satisfaction. The incapability of further improvement in the conventional probabilistic relaxation is detected by a proposed measure of fuzziness. In our FPR, probabilities in the relaxation are suitably adjusted/fuzzified based on a membership function to remove their crisp property such that further improvement can proceed. Experimental results indicate that the fuzzy-based probabilistic relaxation significantly improves the relaxation quality, especially for the textured images composed of components of significantly different sizes. Comparisons with conventional relaxation have also been conducted.

原文English
頁面77-82
頁數6
出版狀態Published - 1994 十二月 1
事件Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA
持續時間: 1994 六月 261994 六月 29

Other

OtherProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)
城市Orlando, FL, USA
期間94-06-2694-06-29

    指紋

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

引用此

Lu, C. S., & Chung, P. C. (1994). Fuzzy-based probabilistic relaxation for textured image segmentation. 77-82. 論文發表於 Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .