@inproceedings{99ead5c8820941d8b0541b84e229d05b,
title = "An efficient color image classification method using gradient magnitude based angle cooccurrence matrix",
abstract = "In this paper, a novel texture feature GMACM, is presented according to the statistics of gradient angle cooccurrence in color images. Based on three different types of gradients defined in the RGB space, the corresponding GMACMs are introduced. With some well-designed color image classification experiments, it is shown that GMACMs outperform GLCM and Gabor filters significantly in efficiency and accuracy. It could be concluded that GMACM is powerful in classifying and understand color images.",
keywords = "Cooccurrence matrix, GMACM, Gradient, Image classification",
author = "Rui Zhang and Baolin Yin and Qiyang Zhao and Bin Yang",
year = "2010",
doi = "10.1109/ICIP.2010.5651261",
language = "英语",
isbn = "9781424479948",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "1073--1076",
booktitle = "2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings",
note = "2010 17th IEEE International Conference on Image Processing, ICIP 2010 ; Conference date: 26-09-2010 Through 29-09-2010",
}