基于智能优化算法的计算机图像处理技术分析

Analysis of Computer Image Processing Technology Based on Intelligent Optimization Algorithm

提出了一种基于分布式K-means算法的图像特征提取算法,详细介绍了该图像特征提取算法的基本框架,提出了图像预处理、特征提取以及图像分类的具体方法.并通过图像分类实验验证了白化操作的必要性.经实验研究发现,白化操作是提升图像分类精确度水平的重要手段.

In this paper,an image feature extraction algorithm based on distributed k-means algorithm is proposed.The basic framework of the algorithm is introduced in detail.The specific methods of image preprocessing,feature extraction and image classification are proposed.Finally,the necessity of whitening operation is verified by image classification experiments.The experimental results show that whitening operation is an important means to improve the accuracy of image classification.