Title :
Moment based texture segmentation
Author :
Tuceryan, Mihran
Author_Institution :
Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
fDate :
30 Aug-3 Sep 1992
Abstract :
Texture segmentation is one of the early steps towards identifying surfaces and objects in an image. In the paper a moment based texture segmentation algorithm is presented. The moments in small windows of the image are used as texture features which are then used to segment the textures. The algorithm has successfully segmented binary images containing textures with identical second-order statistics as well as a number of natural gray level texture images
Keywords :
image segmentation; image texture; binary images; image segmentation; image texture; moment based texture segmentation; natural gray level texture images; second-order statistics; texture features; Clustering algorithms; Computer science; Flowcharts; Focusing; Image segmentation; Image texture analysis; Machine vision; Pixel; Signal processing algorithms; Surface texture;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.201924
