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ICIP
2000
IEEE
14 years 6 months ago
Unsupervised Color Texture Feature Extraction and Selection for Soccer Image Segmentation
In this paper, we describe a new approach for color texture featureextraction and selection. We definecolortexturefeatures as texture features which are computed by taking into ac...
Nicolas Vandenbroucke, Ludovic Macaire, Jack-G&eac...
ICIP
2004
IEEE
14 years 6 months ago
Modulation-feature based textured image segmentation using curve evolution
In this paper we incorporate recent results from AM-FM models for texture analysis into the variational model of image segmentation and examine the potential benefits of using the...
Iasonas Kokkinos, Georgios Evangelopoulos, Petros ...
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
13 years 11 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
ICMCS
2005
IEEE
152views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Texture-Based Remote-Sensing Image Segmentation
Typically, high-resolution remote sensing (HRRS) images contain a high level noise as well as possess different texture scales. As a result, existing image segmentation approaches...
Dihua Guo, Vijayalakshmi Atluri, Nabil R. Adam
TIP
2008
261views more  TIP 2008»
13 years 4 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