DocumentCode :
1119539
Title :
Segmentation by Texture Using Correlation
Author :
Chen, Patrick C. ; Pavlidis, Theodosios
Author_Institution :
Exxon Production Research Company, Houston, TX 77001.
Issue :
1
fYear :
1983
Firstpage :
64
Lastpage :
69
Abstract :
The correlation coefficients are used for segmentation according to texture. They are first evaluated on a set of square regions forming two levels of the quadratic picture tree (or pyramid). If the coefficients of a square and its four children in the tree are similar, then that region is considered to be of uniform texture. If not, it is replaced by its children. In this way, the split-and-merge algorithm is used to achieve a preliminary segmentation. It is followed by a grouping algorithm using the correlation coefficients and the region adjacency graph, plus a small region elimination step. The latter regions are grouped according to their gray level because texture cannot be defined reliably on very small regions. Examples of implementation on four pictures are included.
Keywords :
Brightness; Covariance matrix; Histograms; Humans; Multidimensional systems; Parameter estimation; Production; Random variables; Scattering; Tree graphs; Correlation coefficient; parameter estimation; picture model; random field; segmentation; texture;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1983.4767346
Filename :
4767346
Link To Document :
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