Then a new method merging area information and edge information, geometric deformable model with color and intensity priors for medical image segmentation, is proposed.
在此基础上提出了一种混合区域信息和边界信息的方法——基于融合颜色和强度先验信息的几何可变模型的医学图像分割算法。
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。
On the basis of image segmentation, further researches and proposes the kind of effective method for the extraction description of color, spatial position and area-size features of an image.
在图像分割的基础上，研究并提出一种图像分割区域颜色、空间位置与面积特征的抽取与表示的有效方法。
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