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» Supervised Texture Segmentation: A Comparative Study
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ICPR
2000
IEEE
13 years 8 months ago
Texture Classification by Multi-Predicate Local Binary Pattern Operators
This paper benchmarks the simple Local Binary Pattern (LBP) approach in the supervised texture segmentation problems of the recent comparative study of Randen and Hus
Topi Mäenpää, Matti Pietikäine...
ICPR
2002
IEEE
13 years 10 months ago
Supervised Segmentation of Textures in Backscatter Images
In this paper we present an application of statistical pattern recognition for segmentation of backscatter images (BSE) in product analysis of laundry detergents. Currently, appli...
Pavel Paclík, Robert P. W. Duin, Geert M. P...
DICTA
2007
13 years 6 months ago
An in Depth Comparison of Four Texture Segmentation Methods
Texture segmentation is the process of partitioning an image into regions with different textures containing similar group of pixels. This paper presents a comparative study of fo...
Vamsi Krishna Madasu, Prasad K. D. V. Yarlagadda

Publication
400views
12 years 11 months ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...
MICCAI
2009
Springer
14 years 6 months ago
A Fully Automatic Random Walker Segmentation for Skin Lesions in a Supervised Setting
Abstract. We present a method for automatically segmenting skin lesions by initializing the random walker algorithm with seed points whose properties, such as colour and texture, h...
Paul Wighton, Maryam Sadeghi, Tim K. Lee, M. St...