一种形态学梯度滑降算法的研究

滑降算法是一种重要的图像分割工具,然而基于滑降算法的图像分割在很大程度上依赖于待分割图像梯度的计算.提出了一种多尺度形态学梯度滑降分割算法.该算法首先利用多尺度形态学梯度,通过大小不同的结构元素提取图像梯度特征,获得梯度图像,然后利用滑降算法进行图像分割,为了减少滑降算法的过分割现象,提出了区域面积和区域相似性规则的区域合并的方法.实验结果表明,本方法具有较好的分割效果,同时分割中结构元形状、尺度可以灵活选取,使得该方法适用范围相对比较广泛.

Study on a Morphological Gradient Toboggan Algorithm

Toboggan algorithm is an important tool to image segmentation,and the result of image segmentation depends on how to compute the gradient image to a great extent if applying toboggan to it.A multiscale morphological gradient toboggan algorithm is proposed to obtain the gradient image by characterizing the structural elements of different sizes and then segment the image.To reduce the over-segmentation of toboggan,a merging method of regions is carried out after toboggan segmentation according to their areas and similarities.Test results show that the algorithm is valid and more accurate than other conventional algorithm in image segmentation,especially it has a wider scope of application because of the selective flexibility of structural element shape and size.