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» Image segmentation in a kernel-induced space
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TMI
2002
248views more  TMI 2002»
14 years 9 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
VLSISP
1998
140views more  VLSISP 1998»
14 years 9 months ago
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
Understanding of the scene content of a video sequence is very important for content-based indexing and retrieval of multimedia databases. Research in this area in the past severa...
Zhu Liu, Yao Wang, Tsuhan Chen
MICCAI
2004
Springer
15 years 3 months ago
Immediate Ultrasound Calibration with Three Poses and Minimal Image Processing
Abstract. This paper introduces a novel method for ultrasound (US) probe calibration based on closed-form formulation and using minimal US imaging allowing for an immediate result....
Anand Viswanathan, Emad Boctor, Russell H. Taylor,...
TSMC
2008
138views more  TSMC 2008»
14 years 9 months ago
Image Thresholding Using Graph Cuts
A novel thresholding algorithm is presented in this paper to improve image segmentation performance at a low computational cost. The proposed algorithm uses a normalized graphcut m...
Wenbing Tao, Hai Jin, Yimin Zhang, Liman Liu, Desh...
ECCV
2010
Springer
14 years 10 months ago
Superpixels and Supervoxels in an Energy Optimization Framework
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
Olga Veksler, Yuri Boykov, Paria Mehrani