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。
In this paper two novel genetic clustering color image segmentation algorithms are proposed.
该文利用遗传算法对图像进行聚类分析，提出了两种新颖的图像分割算法。
In image segmentation algorithms, the selection of optimal threshold is the key to segmentation.
在阈值分割算法中，确定最优阈值是图像分割的关键。
The existing image segmentation algorithms are special; these methods are aimed at specific images.
现有的图像分割算法各有千秋，这些方法都是针对特定图像提出来的。
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。
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。
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