获得这些纹理图像的特征旨在度量纹理图像的相似性或从图像中抽取纹理区域。
The aim of acquiring the features of texture images is to measure the comparability of texture images or to extract texture region from images.
首先叙述了基于内容的图像检索的系统模型和特点,接着针对颜色、纹理和形状进行了概率特征提取、相似度量等的进一步具体分析讨论。
It presents the model and feature of content-based image retrieval system, and then discusses some methods of feature abstraction and similarity measurement based on color, texture and shape.
本文提出一种复杂性度量法对肝脏B超图像纹理的分类进行了研究,图像的灰度值复杂性作为纹理特征。
This paper presents a method for analyzing the ultrasonic liver images textures. The texture signature is taken to be a complexity of image gray levels.
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