STATISTICAL TEXTURE CLASSIFCATION VIA HISTOGRAMS OF WAVELET FILTERED IMAGES
We show how the first order statistic,i.e.the histogram,of the wavelet filtered image is related to the higher order statistic of the original image.We then propose a texture classification method that uses the histogram information of the filtered images as the feature vector.The histogram based features are able to provide richer description of the texture information.Classification experiments show that the proposed method achieves signifieantiy better classification result than the traditional Gabor wavelet filtering method that uses only the mean and standard deviation of the filtered image as feature vectors.
Texture classification Wavelet filter Spatial grey level dependence
ALAN WEE-CHUNG LIEW JUN JO TAE BYONG CHAE YONG-SIK CHUN
School of Information and Communication Technology, Gold Coast campus, Griffith University, QLD4222, Department of KOMPSAT-5 System Engineering & Integration Korea Aerospace Research Institute POB 113
国际会议
2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)
桂林
英文
234-238
2011-07-10(万方平台首次上网日期,不代表论文的发表时间)