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TIP
2010
277views more  TIP 2010»
13 years 5 months ago
Distance Regularized Level Set Evolution and Its Application to Image Segmentation
Level set methods have been widely used in image processing and computer vision. In conventional level set formulations, the level set function typically develops irregularities du...
Chunming Li, Chenyang Xu, Changfeng Gui, Martin D....
ICIP
2009
IEEE
14 years 11 months ago
Seed Image Selection In Interactive Cosegmentation
Interactive image segmentation is a powerful paradigm that allows users to direct the segmentation algorithm towards a desired output. However, marking scribbles on multiple image...
ITCC
2005
IEEE
14 years 4 months ago
Mining Biomedical Images with Density-Based Clustering
Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...
GREC
2005
Springer
14 years 3 months ago
Online Composite Sketchy Shape Recognition Using Dynamic Programming
This paper presents a solution for online composite sketchy shape recognition. The kernel of the strategy treats both stroke segmentation and sketch recognition as an optimization ...
Zhengxing Sun, Bo Yuan, Jianfeng Yin
CVPR
2008
IEEE
15 years 13 days ago
Sequential sparsification for change detection
This paper presents a general method for segmenting a vector valued sequence into an unknown number of subsequences where all data points from a subsequence can be represented wit...
Necmiye Ozay, Mario Sznaier, Octavia I. Camps