Title :
An Iterative Segmentation Method Based on a Contextual Color and Shape Criterion
Author :
Chassery, J.M. ; Garbay, C.
Author_Institution :
E.M.Q.C.-TIM 3, Cermo, 38402 Saint Martin, d´´Heres Cedex, France.
Abstract :
An iterative segmentation method is presented and illustrated on specific examples. Full control of each iteration step is obtained by combining local and global properties according to a model of the image structure. A consistent convergence criterion is derived from additional image structure properties and a test is proposed to evaluate adequacy of segmentation.
Keywords :
Convergence; Histograms; Image color analysis; Image segmentation; Iterative methods; Labeling; Process control; Shape control; Stochastic processes; Testing; Color; convexity; cytology; image segmentation; iterative processing;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1984.4767603
