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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28514

Title: Fast Image Segmentation via Double-layer Infiltration
Authors: Chen-Yuan Chong;Fu-Chiang Chang;Jung-Hua Wang
Contributors: NTOU:Department of Electrical Engineering
國立臺灣海洋大學:電機工程學系
Keywords: Image segmentation;region merging;neural network
Date: 2005-10
Issue Date: 2011-10-21T02:37:52Z
Publisher: 2005 IEEE International Conference on Systems, Man and Cybernetics
Abstract: Abstract:In this paper, a novel method called double-layer infiltration (DLI) is presented to perform fast region-based image segmentation. The method mainly comprises two successive processes, namely updating the feature of each region followed by merging the immediate regions as their updated features satisfy a local statistic criterion. The proposed segmentation method is fast as features of all regions are updated simultaneously and accurately effective as regions are merged by considering not only the immediate adjacent layer but also the regions next to the adjacent layer. The method starts with an initial set of seed regions until a well-defined terminal condition is satisfied. DLI is self-terminated and needs not pre-specify the final number of regions. Experimental results on real images are provided to verify the effectiveness of the method.
Relation: 3, pp.2944-2949
URI: http://ntour.ntou.edu.tw/handle/987654321/28514
Appears in Collections:[電機工程學系] 演講及研討會

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