Literature DB >> 22499660

An iterative segmentation method based on a contextual color and shape criterion.

J M Chassery1, C Garbay.   

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.

Year:  1984        PMID: 22499660     DOI: 10.1109/tpami.1984.4767603

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  2 in total

1.  Automatic detection and classification of leukocytes using convolutional neural networks.

Authors:  Jianwei Zhao; Minshu Zhang; Zhenghua Zhou; Jianjun Chu; Feilong Cao
Journal:  Med Biol Eng Comput       Date:  2016-11-07       Impact factor: 2.602

2.  A neural-network-based approach to white blood cell classification.

Authors:  Mu-Chun Su; Chun-Yen Cheng; Pa-Chun Wang
Journal:  ScientificWorldJournal       Date:  2014-01-30
  2 in total

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