Objective Based on a computerized color object segmentation technology, a novel ultrasonogram color flow pels quantitative analysis method is proposed.
目的提出一种新的基于计算机彩色目标分割技术的声像图彩色血流像素定量技术。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
肤色检测、皮肤的纹理分析检测、目标区域的分割、图像特征的提取、分类器的设计。
Based on the practice of mobile robot vision navigation, the paper presents methods of image segmentation based on color models and object recognition.
基于移动机器人视觉处理的实践，提出了基于颜色模型的图像分割方法。
This method consists of color segmentation and object location.
该方法由颜色分割和定位算法组成。
A solution to address this problem is to apply color segmentation, which allows both image-to-image matching and object localization.
解决这个问题的办法是采用色彩分割，它既考虑图像对图像的匹配，又考虑对象定位。
And a set of features combining color, shape and topological are extracted from each object. Based on the features, a classification criterion is employed to perform the map segmentation.
通过提取对象的颜色、形状和近邻关系等特征，建立分类标准，实现地形图的自动分层。
And a set of features combining color, shape and topological are extracted from each object. Based on the features, a classification criterion is employed to perform the map segmentation.
通过提取对象的颜色、形状和近邻关系等特征，建立分类标准，实现地形图的自动分层。
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