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Proceedings Paper

Fast classification and segmentation of high resolution color images of multiple and complicated objects
Author(s): Weixing Wang
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Paper Abstract

This paper presents a methodology for high resolution image classification and segmentation. The size and information volume of the images, taken by a high resolution digital camera, will be tens to hundreds times as the ones taken by an ordinary CCD camera. In order to speed up the image segmentation process of the large images, we classify the images first by using a low resolution image, then, segment them by a fast segmentation algorithm. The algorithm is studied mainly based on multi-resolution technique and the fusion of edge detection result and similarity segmentation result. By using this methodology, the whole image segmentation process time is reduced by tens' times than traditional segmentation methods, and the accuracy of the image segmentation is not decreased.

Paper Details

Date Published: 27 October 2006
PDF: 6 pages
Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60471J (27 October 2006); doi: 10.1117/12.710882
Show Author Affiliations
Weixing Wang, Chongqing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 6047:
Fourth International Conference on Photonics and Imaging in Biology and Medicine
Kexin Xu; Qingming Luo; Da Xing; Alexander V. Priezzhev; Valery V. Tuchin, Editor(s)

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