In this paper, a novel idea for optimization of image segmentation algorithms based on algorithm evaluation is proposed. According to this idea, a segmentation expert system is designed and realized.
本文提出了一种基于算法评价知识的图象分割算法优化思想，并以该思想为基础设计实现了一个分割算法优化专家系统。
Objective evaluation of medical image segmentation algorithms is one of the important steps toward establishing validity and clinical applicability of an algorithm.
对医学图像分割算法的客观评价是推进算法在临床上得到应用的关键。
An evaluation method of CCD is proposed by calculating edge pixels and analyzing image segmentation quality of particular regions.
通过统计特定区域的边界点和分析图像分割的效果，提出了一种评价CCD相关误差的方法。
At same times, the article refers to evaluation of image segmentation result and its importance in computer vision.
同时，本文也涉及分割效果的评价方法及在计算机视觉作用。
For synthetic Mosaic texture image, miss classed probability was given as the evaluation of segmentation results.
对合成纹理图像给出错分概率作为评价参数。
For synthetic Mosaic texture image, miss classed probability was given as the evaluation of segmentation results.
对合成纹理图像给出错分概率作为评价参数。
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