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» A Diffusion Approach to Seeded Image Segmentation
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IMCSIT
2010
13 years 4 months ago
Multiscale Segmentation Based On Mode-Shift Clustering
We present a novel segmentation technique that effectively segments natural images. The method is designed for the purpose of image retrieval and follows the principle of clusterin...
Wojciech Tarnawski, Lukasz Miroslaw, Roman Pawliko...
CAIP
2001
Springer
165views Image Analysis» more  CAIP 2001»
13 years 12 months ago
A New Approach for Model-Based Adaptive Region Growing in Medical Image Analysis
Abstract. Interaction increases flexibility of segmentation but it leads to undesirable behaviour of an algorithm if knowledge being requested is inappropriate. In region growing, ...
Regina Pohle, Klaus D. Tönnies
CVPR
2003
IEEE
14 years 9 months ago
Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space
In this paper, we propose a novel and efficient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture ...
Mikaël Rousson, Rachid Deriche, Thomas Brox
MICCAI
2000
Springer
13 years 11 months ago
Interactive Organ Segmentation Using Graph Cuts
Abstract. An N-dimensional image is divided into "object" and "background" segments using a graph cut approach. A graph is formed by connecting all pairs of nei...
Yuri Boykov, Marie-Pierre Jolly
VIP
2000
13 years 8 months ago
Unseeded Region Growing for 3D Image Segmentation
Unseeded region growing is a versatile and fullyautomatic segmentation technique suitable for multispectral and 3D images. This approach integrates region-based segmentation with ...
Zheng Lin, Jesse S. Jin, Hugues Talbot