TY - GEN
T1 - Texture image classification using complex texton
AU - Guo, Zhenhua
AU - Li, Qin
AU - Zhang, Lin
AU - You, Jia
AU - Liu, Wenhuang
AU - Wang, Jinghua
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Statistical textons has shown its potential ability in texture image classification. The maximal response 8 (MR8) method extracts an 8-dimensional feature set from 38 filters. It is one of state-of-the-art rotation invariant texture classification methods. This method assumes that each local patch has a dominant orientation, thus it keeps the maximal response from six responses of different orientations in the same scale. To validate whether local dominant orientation is necessary for texture classification, in this paper, a complex texton, complex response 8 (CR8), is proposed. The average and standard deviation of filter responses for different orientations is computed, and then an 8-dimensional complex texton is extracted. After using k-means clustering algorithm to learn a texton dictionary, a histogram of texton distribution could be built for a given image. Experimental results on one large public database show that CR8 could get comparable results with MR8.
AB - Statistical textons has shown its potential ability in texture image classification. The maximal response 8 (MR8) method extracts an 8-dimensional feature set from 38 filters. It is one of state-of-the-art rotation invariant texture classification methods. This method assumes that each local patch has a dominant orientation, thus it keeps the maximal response from six responses of different orientations in the same scale. To validate whether local dominant orientation is necessary for texture classification, in this paper, a complex texton, complex response 8 (CR8), is proposed. The average and standard deviation of filter responses for different orientations is computed, and then an 8-dimensional complex texton is extracted. After using k-means clustering algorithm to learn a texton dictionary, a histogram of texton distribution could be built for a given image. Experimental results on one large public database show that CR8 could get comparable results with MR8.
KW - clustering
KW - maximal response 8
KW - texton
KW - Texture classification
UR - http://www.scopus.com/inward/record.url?scp=84862912346&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-25944-9_13
DO - 10.1007/978-3-642-25944-9_13
M3 - Conference article published in proceeding or book
SN - 9783642259432
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 98
EP - 104
BT - Advanced Intelligent Computing Theories and Applications
T2 - 7th International Conference on Intelligent Computing, ICIC 2011
Y2 - 11 August 2011 through 14 August 2011
ER -