Journal of Systems Engineering and Electronics ›› 2012, Vol. 34 ›› Issue (6): 1272-1277.doi: 10.3969/j.issn.1001-506X.2012.06.34

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Texture classification based on improved basic image features histogram

ZHOU Lin, PING Xi-jian, TONG Li   

  1. Institute of Information Engineering, Information Engineering University of the PLA, Zhengzhou 450002, China
  • Online:2012-06-18 Published:2010-01-03

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Abstract:

An improved method of basic image features (BIF) histogram is proposed. Firstly, corresponding BIF of every pixel in the image is respectively computed in four scales. Secondly, six histogram features and three high order statistical features are extracted respectively in every scale. Finally, the support vector machine (SVM) is applied for training and classifying the texture images. Experiment results show that the proposed method can reduce the computing complexity and consuming time, meanwhile, it is robust to noise.

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