基于边缘信息的分开合并图象分割方法

图象分割是目标识别和图象理解的关键的第一步处理。分开合并方法是一种有效的、实用的图象分割方法。本文提出了基于边缘信息实现分开合并方法，它利用边缘信息解决了自适应确定最佳初始层和在分开、合并过程中度量图象块属性一致性的问题。基于边缘信息的分开合并方法改进了图象分割质量，缩短了处理时间，分割复杂图象的实验结果是令人满意的。

A Split-and-Merge Image Segmentation Method Based on Edge Information

Image segmentation is the key step in object recognition and image understanding. Split-and-merge is an efficient and practical method to segment an image. The Split-and-merge method based on edge information is presented. The edge information is used both to adaptively determine the beginning layer which is optimum, and to measure the consistence of image blocks during merging and spliting. By using the method the segmentation quality is improved, the processing time is decreased, and the satisfied experiment result is obtained in segmentating some sophisticated images.