多重纹理图像局部边缘模糊特征清晰化识别方法

Clarity Recognition Method for Multi-texture Images Based on Local Edge Fuzzy Feature

为了提高多重纹理图像的识别能力,提出基于边缘模糊特征提取的多重纹理图像清晰化识别方法。构建基于均匀量化特征提取的多重纹理图像三维成像模型,进行多重纹理局部边缘模糊图像的降噪预处理,在此基础上,采用模糊特征检索方法进行多重纹理图像的像素特征重构和二值化分离,提取多重纹理图像局部边缘模糊特征,根据特征提取结果实现多重纹理图像局部边缘模糊特征清晰化识别。仿真结果表明,采用该方法进行多重纹理图像局部边缘模糊特征识别的清晰化水平较高,误差较小。

In order to improve the recognition ability of multi-texture images,a clearness recognition method based on edge fuzzy feature extraction is proposed.A three-dimensional imaging model of multi-texture image based on uniform quantization feature extraction is constructed,and the denoising pretreatment of multi-texture local edge blurred image is carried out.On this basis,the pixel feature reconstruction and binary separation of multi-texture image are carried out by using the method of fuzzy feature retrieval,and the local edge blurring of multi-texture image is extracted.According to the result of feature extraction,the local edge blurred feature of multi-texture image is recognized clearly.The simulation results show that the method has high clarity and small error in recognizing local edge fuzzy features of multi-texture images.