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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
ITCC
2005
IEEE
13 years 11 months ago
Mining Biomedical Images with Density-Based Clustering
Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...
ICPR
2004
IEEE
14 years 6 months ago
A Novel Energy Minimization Criterion for Color Image Segmentation
In this article, we present an unsupervised segmentation algorithm through a multiresolution approach which uses both color and edge information with a quadtree structure, through...
Adolfo Martínez Usó, Filiberto Pla, ...
ICIP
2002
IEEE
14 years 7 months ago
Adaptive image segmentation based on color and texture
We propose an image segmentation algorithm that is based on spatially adaptive color and texture features. The features are first developed independently, and then combined to obt...
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra M...
ICIP
2009
IEEE
13 years 3 months ago
Colour saliency-based parameter optimisation for adaptive colour segmentation
In this paper we present a parameter optimisation procedure that is designed to automatically initialise the number of clusters and the initial colour prototypes required by data ...
Dana Elena Ilea, Paul F. Whelan