Sciweavers

1261 search results - page 3 / 253
» Region growing: a new approach
Sort
View
CIARP
2007
Springer
13 years 11 months ago
Image Segmentation Using Automatic Seeded Region Growing and Instance-Based Learning
Segmentation through seeded region growing is widely used because it is fast, robust and free of tuning parameters. However, the seeded region growing algorithm requires an automat...
Octavio Gómez, Jesús A. Gonzá...
MVA
2002
254views Computer Vision» more  MVA 2002»
13 years 4 months ago
Retinal Blood Vessel Extraction by Using Multi-resolution Matched Filtering and Directional Region Growing Segmentation
Anew method to extract retinal blood vessels from a colour fundus image is described. Digital colour h d u s images are contrast enhanced in order to obtain sharp edges. The green...
Mitsutoshi Himaga, David Usher, James F. Boyce
ICPP
1993
IEEE
13 years 8 months ago
Solving the Region Growing Problem on the Connection Machine
Abstract { This paper presents a parallel algorithm for solving the region growing problem based on the split and merge approach. The algorithm was implemented on the CM-2 and the ...
Nawal Copty, Sanjay Ranka, Geoffrey Fox, Ravi V. S...
BILDMED
2009
170views Algorithms» more  BILDMED 2009»
13 years 5 months ago
Fuzzy Multiscale Region Growing for Segmentation of MR Images of the Human Brain
We propose an automatic region growing technique for the segmentation of the cerebral cortex and white matter in MRI data. Our method exploits general anatomical knowledge and uses...
Karin Engel, Frederik Maucksch, Anja Perlich, Matt...
VIP
2000
13 years 6 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