利用模糊认知度从图像纹理中提取情感语义

图像的低层视觉特征（颜色、纹理和形状等）中包含着大量人类可感知的情感语义信息。利用纹理特征，提出一种新的索引方法-FRD（Fuzzy Recognize Degree，模糊认识度）聚类法，用来描述与情感相关联的语义图像。FRD聚类法使用三个感性的纹理特征：方向性、对比度和粗糙度，生成FRD值。从高层的情感概念进行图像检索。实验图像采用自然景观图片，验证了新方法的良好性能。

Extracting emotional semantics from texture image by fuzzy recognize degree

The low-level visual features(color,texture and shape) in image contain lots of emotional semantics information with human perception.In this paper a new indexing scheme is proposed,called FRD(Fuzzy Recognize Degree) clustering using the texture feature.This method has allowed us to retrieve images for emotion-assisted semantic analysis based on high-level affective concepts.For this purpose,a set of perceptual relevant features is introduced: directionality,contrast and coarseness.Experiment has been conducted to a collection of natural images,and the result shows the high performance of the proposed technique.