基于灰度直方图的图像分割方法
首发时间:2005-10-12
摘要:图像分割是数字处理中的一个重要问题。在最大类间方差的基础上,提出了一种自适应的多目标图像分割方法。该方法改进了传统的最大类间方差法(OTSU方法),并使用灰度直方图自适用的确定图像中的最佳目标个数。对样本图像的分割结果显示,此算法在分割速度和效果上都取得了较好的结果。试验证明,此方法能有效的对多目标图像进行分割。
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The algorithm of image segmentation
Abstract:Image segmentation is an old and difficult problem in digital image processing. Based on OTSU, a self-adaptive approach of multi-object image segmentation is presented in this paper. In this approach, OTSU method has been improved on, and grey level histogram is used to self-adaptive confirm the best fit object number. Segmentation result based on the sample image shows that the algorithm achieves good performance in terms of efficiency of segmentation and segment quality. Experimental results show that this approach is effective to segment multi-object image
Keywords: multi-object image segmentation, self-adaptive, OTSU method, grey level histogram
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No.3218268271129080****
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