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TIP
2008
261views more  TIP 2008»
13 years 5 months ago
CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
Dana Elena Ilea, Paul F. Whelan
CVPR
2007
IEEE
14 years 7 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger
CVPR
2003
IEEE
14 years 7 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
CBMS
2004
IEEE
13 years 9 months ago
Image Segmentation of Uterine Cervix Images for Indexing in PACS
The National Cancer Institute has collected a large database of digitized 35mm slides of the uterine cervix, the idea being to build a system enabling to study the evolution of le...
Shiri Gordon, Gali Zimmerman, Hayit Greenspan
JMM2
2008
127views more  JMM2 2008»
13 years 5 months ago
Texture Segmentation Methods Based on Combinatorial of Morphological and Statistical Operations
In this paper we introduce a novel and simple image segmentation schemes that are based on combinations of morphological and statistical operations. Mathematical morphology is very...
Vakulabharanam Vijaya Kumar, B. Eswara Reddy, A. N...