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TIP
2008
261views more  TIP 2008»
13 years 6 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
BMCBI
2007
164views more  BMCBI 2007»
13 years 6 months ago
SEARCHPATTOOL: a new method for mining the most specific frequent patterns for binding sites with application to prokaryotic DNA
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...
Fathi Elloumi, Martha Nason
ICIP
2009
IEEE
13 years 4 months ago
A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images
In this paper, a new unsupervised hierarchical approach to textured color images segmentation is proposed. To this end, we have designed a two-step procedure based on a grey-scale...
Rachid Hedjam, Max Mignotte
ICMCS
2007
IEEE
107views Multimedia» more  ICMCS 2007»
14 years 17 days ago
Finding Image Structure by Hierarchal Segmentation
Image segmentation has been studied for many years. But what factors influence segmentation results indeed? Why some images are easy to be handled while the others are not? In thi...
Bo Qiu, Daniel Racoceanu
ICPR
2008
IEEE
14 years 21 days ago
Learning visual dictionaries and decision lists for object recognition
Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictiona...
Wei Zhang, Thomas G. Dietterich