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題 名 | Optimal Multilevel Thresholding Using a Hybrid ant Colony System=混合蟻群系統於多階影像臨界值最佳化之應用 |
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作 者 | 梁韵嘉; 尹岳川; | 書刊名 | 工業工程學刊 |
卷 期 | 28:1 2011.01[民100.01] |
頁 次 | 頁20-33 |
分類號 | 312.1 |
關鍵詞 | 影像分割; Otsu法; 多階影像臨界值; 蟻群系統; 非參數法; Image segmentation; Otsu’s method; Multilevel thresholding; Ant colony system; Nonparametric method; |
語 文 | 英文(English) |
英文摘要 | Thresholding is an important technique for image segmentation, yet the challenge of automatic determination of an optimum threshold value still exists. Otsu’s method has been extensively applied to real-world image segmentation, but its exhaustive search procedure has limited its application to multilevel thresholding. For this reason, this article aims at finding a more applicable and effective segmentation procedure – a hybrid optimization scheme based on an ant colony system (ACS) algorithm with Otsu’s method. The properties of discriminate analysis in Otsu’s method are to analyze the separability among gray levels in an image. The ACS–Otsu algorithm, a non-parametric and unsupervised method, is an extension of the applications of ant colony optimization with a proper design of hierarchical search range and local search for image segmentation. The proposed method is capable of automatically generating the lower and upper bounds of the search range for each threshold and finding the optimal number of thresholds in a very short period of time. The experimental results show that the ACS–Otsu algorithm efficiently speeds up Otsu’s method to a great extent and preserves its robustness at multilevel thresholding. |
本系統中英文摘要資訊取自各篇刊載內容。