基于深度学习的纹理分类算法优化与应用研究  

Research on the Optimization and Application of Texture Classification Algorithm Based on Deep Learning

作　　者：荣兵 黄菲菲 RONG Bing;HUANG Feifei(Zhengzhou University of Industry Technology,Zhengzhou Henan 450000)

机构地区：[1]郑州工业应用技术学院,河南郑州450000

出　　处：《软件》2025年第3期94-96,共3页Software

摘　　要：纹理是计算机视觉研究领域一个重要特性,但是目前其尚未有确切定义,人们只能普遍认为纹理是视觉图像中基元或模式的强度变化规律,在宏观上呈现出一定的分布规律性。纹理分析是计算机图像处理的重要内容之一,通过提取图像表面灰度值变化的数字特征,分析物理表面的宏观特征、微观特征。本研究主要探讨了计算机纹理分类中利用深度学习理论进行算法优化的问题。Texture is an important characteristic in the field of computer vision research,but currently it has not been precisely defined.People can only generally believe that texture is the intensity variation law of elements or patterns in visual images,presenting a certain distribution regularity at the macro level.Texture analysis is one of the important contents of computer image processing.By extracting the digital features of the gray value change of the image surface.This study mainly discusses the problem of using deep learning theory for algorithm optimization in computer texture classification.

关 键 词：深度学习 纹理分类 算法优化 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]