一种基于自动阈值选择的图像分割新方法

2010 Sixth International Conference on Semantics, Knowledge and Grids Pub Date : 2010-11-01 DOI:10.1109/SKG.2010.72

Y. Zou, Bencheng Chai, Qili Xiao

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引用次数: 1

摘要

本文提出了一种基于自动阈值选择的图像分割方法。该方法将图像分为2类。当类间方差和类间方差的分离最大时，得到最佳阈值。实验结果表明，该方法能够自动、快速地分割图像。

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A New Image Segmentation Approach by Using Automation Threshold Selection

This paper presents a new image segmentation approach by suing automatic threshold selection. This approach divides the image into 2 class. The best threshold is got when the separation between the interclass variance and the variance between clasters is the maximal. Experimental results show this new approach can segment images automatically and quickly.

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2010 Sixth International Conference on Semantics, Knowledge and Grids

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