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图学学报

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一种改进的多方位结构元素形态学和互信息量的图像分割算法

  

  • 出版日期:2010-06-30 发布日期:2015-08-11

An Improved Image Segmentation Algorithm by Combining Morphology of Multi-Structural Element and Mutual Information

  • Online:2010-06-30 Published:2015-08-11

摘要: :提出了一种改进的基于多结构元素形态学与互信息量相结合的图像分割算法。算法首先利用相邻像素差分运算标记出图像中存在梯度变化的像素点,然后对这些像素点进行多结构元素形态学运算,确定一个初始阈值;然后以互信息量为目标函数,在小范围内计算分割图像与原图像的互信息量,以确定最优阈值。通过对大量路面破损图像进行的实验表明,该改进算法所得到的分割图像目标边缘特征保持完好,具有很强的抗噪能力,且处理速度很快。

关键词: 计算机应用, 图像分割, 多方位结构元素, 互信息量

Abstract: A new segmentation method is proposed, in which morphology of multi-direction structuring elements is combined with mutual information technique. Initial threshold can be chosen by using maximal distances between classes and morphology of multi-direction structuring elements, and in the iteration process, an optimal threshold will be determined by maximizing mutual information between segmented and original image. It is applied to segmenting pavement images. The experimental results indicate that this revised algorithm has not only a good ability to segment the image, but also a strong ability to suppress the noise in the image. Moreover, it can provide good image processing speed.

Key words: computer application, image segmentation, multi-direction structuring elements, mutual information