激光共焦显微生物医学图像的等高地图分割法

我们提出了等高地图分割法用于激光共焦显微生物医学图像分割。这种方法是先用等高地图法把图像分割成子区域，然后按照灰度均匀度分割准则，从高到低或从低到高逐步合并子区域。子区域的合并过程直到没有子区域需要合并为止。此方法的优点是对于物体灰度和灰度均匀度范围大而且重叠的图像具有很好的分割效果。本文首先介绍等高地图法区域分割，其次介绍按照灰度均匀度分割准则的区域合并，然后介绍线性灰度均匀度分割准则的设计，最后给出用这种方法侵害图像的两个例子。

A Contour Map Segmentation for Laser Scanning Confocal Microscopic Biomedical Images

We propose a contour map segmentation method for laser scanning confocal microscopic (LSCM) biomedical images. In this method, an image is first segmented into sub regions by contour map. Then the sub regions are merged from top to bottom or from bottom to top, according to a segmentation criterion of intensity homogeneity. The merging procedures continue until no region needs to be merged. The advantage of this method is that the objects with wide intensity ranges and different intensity homogeneity can be segmented properly. In this paper, the region segmentation by contour map is first addressed. Next a region merging according to a segmentation criterion of intensity homogeneity is presented, and then the design of a linear intensity homogeneity segmentation criterion is introduced. Two examples of image segmentation by this method are given at the end of this paper.