Adaptive texture image segmentation using local-base pyramids

Hubert Konik; Maurice Calonnier; Bernard Laget

Acta Stereologica

0351-580X

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Hubert Konik, Maurice Calonnier & Bernard Laget

Adaptive texture image segmentation using local-base pyramids

(Volume 13 (1994) — Number 2 - Proceedings of the sixth European congress for stereology - Part three - June 1994)

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Abstract

This paper presents an approach to textured image segmentation. It is more exactly intended for detecting and extracting compact objects from an image. Because multiresolution or pyramidal techniques set problems, local-base pyramids are introduced. They are called "local pyramids" and simulate the human vision in its attention focusing process. Moreover, our method has the advantage to be adaptive with respect to the image texture.

Keywords : image segmentation, local methods, pyramid, texture

Para citar este artículo

Hubert Konik, Maurice Calonnier & Bernard Laget, «Adaptive texture image segmentation using local-base pyramids», Acta Stereologica [En ligne], Volume 13 (1994), Number 2 - Proceedings of the sixth European congress for stereology - Part three - June 1994, 499-504 URL : https://popups.uliege.be/0351-580x/index.php?id=4383.