Paper
28 November 2007 A hybrid image segmentation algorithm based on edge detection, thresholding and region growing
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Abstract
This hybrid segmentation algorithm presented is a combination of three traditional methods. It has some advantages that traditional methods don't have: first, the edge detected is continuous; second, segmentation result is accurate; third, overgrowing doesn't exist. The hybrid algorithm has been implemented on some images. Through the segmentation result, it is proved to be effective.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiming Xie, Guannan Chen, Rong Chen, Jinping Lei, Shangyuan Feng, Zufang Huang, and Wenshuo Lin "A hybrid image segmentation algorithm based on edge detection, thresholding and region growing", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 683319 (28 November 2007); https://doi.org/10.1117/12.756542
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Edge detection

Image processing algorithms and systems

Detection and tracking algorithms

Algorithm development

Image filtering

Image analysis

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