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ICASSP
2011
IEEE
12 years 11 months ago
An adaptive bayesian clustering and multivariate region merging based technique for efficient segmentation of color images
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Sreenath Rao Vantaram, Eli Saber
CVPR
1997
IEEE
14 years 9 months ago
Images as embedding maps and minimal surfaces: movies, color, and volumetric medical images
A general geometrical framework for image processing is presented. We consider intensity images as surfaces in the (x I) space. The image is thereby a two dimensional surface in t...
Ron Kimmel, Ravi Malladi, Nir A. Sochen
CAIP
2007
Springer
202views Image Analysis» more  CAIP 2007»
14 years 1 months ago
Segmentation of Distinct Homogeneous Color Regions in Images
Abstract. In this paper, we present a novel algorithm to detect homogeneous color regions in images. We show its performance by applying it to skin detection. In contrast to previo...
Daniel Mohr, Gabriel Zachmann

Publication
400views
13 years 2 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...
CSIE
2009
IEEE
14 years 2 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck