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» Image Segmentation - A Survey of Soft Computing Approaches
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165
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GECCO
2000
Springer
250views Optimization» more  GECCO 2000»
15 years 8 months ago
A Simple and Fast GA-SA hybrid Image Segmentation Algorithm
Image segmentation is an important process of image analysis. Most of the published approaches for image segmentation need to set appropriate parameter values to cope with the unc...
Shinn-Ying Ho, Kual-Zheng Lee
FLAIRS
1998
15 years 6 months ago
An AI Approach to Computer Assisted Tomography
Computer assisted tomography (CAT) systems demandlarge amounts of time and space. In this paper, wedescribe an approachto solving the CAT problemusing several AItechniques includi...
John F. Kolen, David A. Shamma, Thomas Reichherzer...
EMMCVPR
2005
Springer
15 years 10 months ago
Segmentation Informed by Manifold Learning
In many biomedical imaging applications, video sequences are captured with low resolution and low contrast challenging conditions in which to detect, segment, or track features. Wh...
Qilong Zhang, Richard Souvenir, Robert Pless
FUIN
2000
100views more  FUIN 2000»
15 years 4 months ago
The Watershed Transform: Definitions, Algorithms and Parallelization Strategies
The watershed transform is the method of choice for image segmentation in the field of mathematical morphology. We present a critical review of several definitions of the watershed...
Jos B. T. M. Roerdink, Arnold Meijster
168
Voted
ICIP
1995
IEEE
16 years 6 months ago
Genetic algorithms for object recognition in a complex scene
A real-world computer vision module must deal with a wide variety of environmental parameters. Object recognition, one of the major tasks of this vision module, typically requires...
Daniel L. Swets, B. Punch, Juyang Weng