DocumentCode
1687501
Title
A new method for leather texture image classification
Author
Wang, Qingyuan ; Liu, Hong ; Liu, Jianqin ; Wu, Tian
Author_Institution
Inst. of Artificial Intelligence & Robotics, Xi´´an Jiaotong Univ., China
fYear
1992
Firstpage
304
Abstract
A new texture classification method intended for classifying leathers made of the same materials is presented. Unlike the conventional methods which mainly use global features, the authors use both global features extracted from the two dimensional power spectrum of enhanced leather trench image and the local features based on mathematical morphology operation of a segmented leather image. The experiment is conducted on a group of sample leathers and the results are satisfactory
Keywords
feature extraction; image texture; enhanced leather trench image; leather texture image classification; mathematical morphology operation; two dimensional power spectrum; Artificial intelligence; Conducting materials; Feature extraction; Histograms; Image analysis; Image classification; Image texture analysis; Intelligent robots; Morphology; Shape measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on
Conference_Location
Xian
Print_ISBN
0-7803-0042-4
Type
conf
DOI
10.1109/ISIE.1992.279565
Filename
279565
Link To Document