Multi-Dimensional Color Image Recognition and Mining Based on Feature Mining Algorithm

被引：10

作者：

Chen, Jiming ^{[1
]}

Chen, Liping ^{[1
]}

机构：

[1] Hunan Inst Technol, Sch Comp & Informat Sci, Hengyang 421002, Hunan, Peoples R China

来源：

AUTOMATIC CONTROL AND COMPUTER SCIENCES | 2021年 / 55卷 / 02期

关键词：

feature mining; color image; histogram of oriented gradient; gray-level co-occurrence matrix;

D O I：

10.3103/S0146411621020048

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper introduced two algorithms of image feature mining: Histogram of Oriented Gradient (HOG) and gray-level co-occurrence matrix (GLCM). Then, the two algorithms were combined with support vector machine (SVM) model respectively to identify and classify color image. Simulation experiment was carried out in MATLAB R2018a software. The results showed that the feature texture image obtained by GLCM was more clear and accurate than that obtained by HOG; the GLCM based SVM had higher and more stable accuracy and shorter and more stable detection time.

引用

页码：195 / 201

页数：7

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