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AMC
2005
178views more  AMC 2005»
13 years 5 months ago
Color image segmentation based on three levels of texture statistical evaluation
In this paper a new and efficient supervised method for color image segmentation is presented. This method improves a part of the automatic extraction problem. The basic technique...
Juan B. Mena, José A. Malpica
SAC
2004
ACM
13 years 10 months ago
An architecture for information retrieval over semi-collaborating Peer-to-Peer networks
Peer-to-Peer (P2P) networking is aimed at exploiting the potential of widely distributed information pools and its effortless access and retrieval irrespectively of underlying net...
Iraklis A. Klampanos, Joemon M. Jose
PAMI
2002
127views more  PAMI 2002»
13 years 4 months ago
Relative Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation
The notion of fuzzy connectedness captures the idea of "hanging-togetherness" of image elements in an object by assigning a strength of connectedness to every possible pa...
Jayaram K. Udupa, Punam K. Saha, Roberto de Alenca...
SPIESR
2004
143views Database» more  SPIESR 2004»
13 years 6 months ago
An entropy-based objective evaluation method for image segmentation
Accurate image segmentation is important for many image, video and computer vision applications. Over the last few decades, many image segmentation methods have been proposed. How...
Hui Zhang, Jason E. Fritts, Sally A. Goldman
MICCAI
2005
Springer
14 years 6 months ago
Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
Jue Wu, Albert C. S. Chung