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。
The image pretreatment algorithms are researched such as image enhancement and image segmentation algorithms.
接着深入研究了图像预处理算法，图像增强算法和图像分割算法。
In this paper the classic method of image segmentation algorithms and characteristics, and its performance is analyzed.
本文探讨了图像分割的经典方法及其算法特点，并对其性能做了分析比较。
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, 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。
Metallographic image analysis is one of the most important means to test metallographic sample, key algorithms in metallographic image analysis are image segmentation.
金相组织样本图像分析是金相组织样本检验的一个重要手段，而金相组织图像分析的关键算法是图像分割。
In this article we combine the fuzzy C-means algorithm with fuzzy measures and fuzzy integrals and apply the two algorithms to the medicinal pathological image segmentation.
本文将经典的模糊c -均值聚类算法和模糊测度和模糊积分结合起来，并将这两种算法应用于医学病理图象的分割。
Then we introduce some traditional image segmentation techniques. These segmentation algorithms have characteristics of simplicity, realization and fewer calculations.
接着本文介绍了一些传统的图像分割技术，这些图像分割算法具有简单，易于实现，运算量较小等特点。
Fuzzy C-means clustering is one of the important learning algorithms in the field of pattern recognition, which has been applied early to image segmentation.
模糊c -均值聚类是模式识别中的重要算法之一，很早就被应用到图像分割中。
This thesis is mainly concentrated on the processing algorithms of the deep-sea image, including image enhancement, image segmentation.
针对真实环境下的深海图像进行图像增强、图像分割的算法研究，并计算出现有资源结核的覆盖率。
This paper has a research on segmentation methods of Bone-marrow cells image according to various theories and algorithms.
本文利用不同的理论和算法对骨髓细胞图像进行分割方法研究。
Based on RGF models, two kinds of algorithms for texture segmentation have been developed. An experiment has been carried out using remotely sensed image a fairly good results were achieved.
在此基础上作者详细推导出了两种纹理图像的分割算法，并用一幅遥感图像进行了实验，获得了较好的分割结果。
With high computing complexity, traditional 2-d maximum entropy method is a defective method in image segmentation, although many algorithms have been proposed to bear on this problem.
图像分割二维最大熵算法存在计算复杂度高的弊端，目前针对这个问题所提出的各类算法效果都不太理想。
Research and Implementation of Algorithms for Vehicle License Plate Positioning & Characters Segmentation Based on Image Analysis;
提出了基于参数自校正纹理分析的牌照定位方法，提高了车牌定位的精度。
Research and Implementation of Algorithms for Vehicle License Plate Positioning & Characters Segmentation Based on Image Analysis;
提出了基于参数自校正纹理分析的牌照定位方法，提高了车牌定位的精度。
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