第二代曲波加权改进算法在图像处理中的应用

摘要

The ascension of recognition rate is a key link in the process of image processing technology. Aimed at the second generation of curvelet transform algorithm in the process of image recognition processing, the existing image edge “ringing”effect and image distortion as a result of the nature of the “wedge base”, the second generation curvelet weighted improved algorithm is proposed and the implementation process of image recognition. And respectively compared the ORL with Yale image simulation experiment, proves that it is better in the recognition than traditional wavelet weighted bi-directional two-dimensional principal component analysis algorithm, so as to verify the feasibility and effectiveness of the algorithm on image recognition processing.%识别率的提升是图像处理技术的关键环节，笔者针对第二代曲波变换算法在图像识别处理过程中，所存在的图像边缘“振铃”效应和由于“楔形基”的特性所导致的图像失真问题，提出了第二代曲波加权改进算法及对图像识别的实现过程，并且分别通过ORL和Yale图像进行了对比仿真实验，证明了较传统的小波加权双向二维主成分分析算法在对识别中有明显的提高，从而验证了该算法在图像识别处理上的可行性和有效性。