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» Segmentation of medical images using a genetic algorithm
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CVPR
2012
IEEE
13 years 9 months ago
Segmentation using superpixels: A bipartite graph partitioning approach
Grouping cues can affect the performance of segmentation greatly. In this paper, we show that superpixels (image segments) can provide powerful grouping cues to guide segmentation...
Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
15 years 10 months ago
An effective genetic algorithm for the minimum-label spanning tree problem
Given a connected, undirected graph G with labeled edges, the minimum-label spanning tree problem seeks a spanning tree on G to whose edges are attached the smallest possible numb...
Jeremiah Nummela, Bryant A. Julstrom
CVIU
2008
180views more  CVIU 2008»
15 years 6 months ago
Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N-D images
Topology is an important prior in many image segmentation tasks. In this paper, we design and implement a novel graph-based min-cut/max-flow algorithm that incorporates topology p...
Yun Zeng, Dimitris Samaras, Wei Chen, Qunsheng Pen...
ICIP
2007
IEEE
16 years 8 months ago
Genetic Algorithms for Gielis Surface Recovery from 3D Data Sets
In this paper, we apply genetic algorithms to reconstruct Gielis surfaces from 3D data sets. The Levenberg-Marquardt method has been used as a standard for superquadrics recovery ...
Frédéric Truchetet, Sebti Foufou, Yo...
OL
2010
128views more  OL 2010»
15 years 5 months ago
A biased random-key genetic algorithm for road congestion minimization
One of the main goals in transportation planning is to achieve solutions for two classical problems, the traffic assignment and toll pricing problems. The traffic assignment proble...
Luciana S. Buriol, Michael J. Hirsch, Panos M. Par...