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...
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...
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...
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...
Unseeded region growing is a versatile and fullyautomatic segmentation technique suitable for multispectral and 3D images. This approach integrates region-based segmentation with ...