Adaptative morphological segmentation: application to histological and cytological images

Philippe Belhomme; Abder Elmoataz; Paulette Herlin; Marinette Revenu; Daniel Bloyet; Anne-Marie Mandard

Acta Stereologica

0351-580X

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Philippe Belhomme, Abder Elmoataz, Paulette Herlin, Marinette Revenu, Daniel Bloyet & Anne-Marie Mandard

Adaptative morphological segmentation: application to histological and cytological images

(Volume 14 (1995) — Number 2 - Quantitative image analysis - Nov. 1995)

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AS_14_n2_113_BEL.pdf (2,4M)

Abstract

Medical image segmentation is a complex problem by reason of the wide range of image classes and aims to reach. It is usually achieved through the use of procedures which are solely fitted to one class and which integrate, in an opaque way, several kinds of knowledge. So a general strategy allowing to process some resolutely different microscopic image classes with the same approach is presented here. It deals with a region growing operator drawn from the mathematical morphology tool that is the watershed transformation and combines image features in an adaptive way.

Keywords : adaptative segmentation, color segmentation, mathematical morphology, medical imaging

Pour citer cet article

Philippe Belhomme, Abder Elmoataz, Paulette Herlin, Marinette Revenu, Daniel Bloyet & Anne-Marie Mandard, «Adaptative morphological segmentation: application to histological and cytological images», Acta Stereologica [En ligne], Volume 14 (1995), Number 2 - Quantitative image analysis - Nov. 1995, 113-120 URL : https://popups.uliege.be/0351-580x/index.php?id=735.