Color image segmentation by edge linking and region grouping |
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Authors: | Ning Wang Jie Yang |
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Institution: | Key Laboratory of Pattern Recognition and Machine Intelligence of Ministry of Education Shanghai Jiaotong University, Shanghai 200240, China |
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Abstract: | A novel method toward color image segmentation is proposed based on edge linking and region grouping. Firstly, the edges extracted
by the Canny detector are linked to form regions. Each of the end points of edges is connected by a direct line to the nearest
pixel on another edge segment within a sub-window. A new distance is defined based on the feature that the edge tends to preserve
its original direction. By sampling the lines to the image, the image is over-segmented to labeled regions. Secondly, the
labeled regions are grouped both locally and globally. A decision tree is constructed to decide the importance of properties
that affect the merging procedure. Finally, the result is refined by user’s selection of regions that compose the desired
object. Experiments show that the method can effectively segment the object and is much faster than the state-of-the-art color
image segmentation methods. |
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Keywords: | |
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