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TIP
2010
162views more  TIP 2010»
13 years 2 months ago
Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty
Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased feature space sparseness ...
A. K. Qin, David A. Clausi
AAAI
1998
13 years 9 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
ICRA
2006
IEEE
174views Robotics» more  ICRA 2006»
14 years 1 months ago
Multi-scale point and line range data algorithms for mapping and localization
— This paper presents a multi-scale point and line based representation of two-dimensional range scan data. The techniques are based on a multi-scale Hough transform and a tree r...
Samuel T. Pfister, Joel W. Burdick
CVPR
2008
IEEE
14 years 9 months ago
Matching images under unstable segmentations
Region based features are getting popular due to their higher descriptive power relative to other features. However, real world images exhibit changes in image segments capturing ...
Varsha Hedau, Himanshu Arora, Narendra Ahuja
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
14 years 8 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee