Adaptative morphological segmentation: application to histological and cytological images
Philippe Belhomme,
GREYC-URA CNRS 1526-ISMRA, 6 Bd Mar. Juin F-14050 Caen, France
Abder Elmoataz,
GREYC-URA CNRS 1526-ISMRA 6 Bd Mar. Juin F-14050 Caen, France; LUSAC Site Universitaire, B.P. 78, F50130 Octeville, France
Paulette Herlin,
Lab. d ’Ana. Path. Centre BACLESSE, Route de Lion/mer F-14021 Caen, France
Marinette Revenu,
GREYC-URA CNRS 1526-ISMRA 6 Bd Mar. Juin F-14050 Caen, France
Daniel Bloyet,
GREYC-URA CNRS 1526-ISMRA 6 Bd Mar. Juin F-14050 Caen
Anne-Marie Mandard,
Lab. d ’Ana. Path. Centre BACLESSE, Route de Lion/mer F-14021 Caen, France
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.