@inproceedings{b579cc4045a04f83af2c19185fb6b220,
title = "Effect of gray-level re-quantization on co-occurrence based texture analysis",
abstract = "Gray-level co-occurrence matrices (GLCM) are widely used for texture analysis. The number of gray-levels used while computing GLCM is an important parameter but is often ignored. It is believed that the higher the number of gray-levels used, the better is the performance of the GLCM-based features. Contrary to this belief, we observed that using more gray levels than the actual range of pixel values in the image can give erroneous results. In this paper, we show how this occurs and discuss a way around this problem.",
keywords = "Gray-level co-occurrence matrix, Histogram, Re-quantization, Texture analysis",
author = "Patel, {Mehul B.} and Rodriguez, {Jeffrey J.} and Gmitro, {Arthur F.}",
year = "2008",
doi = "10.1109/ICIP.2008.4711822",
language = "English (US)",
isbn = "1424417643",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "585--588",
booktitle = "2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings",
note = "2008 IEEE International Conference on Image Processing, ICIP 2008 ; Conference date: 12-10-2008 Through 15-10-2008",
}