Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gradient Vector Flow: A New External Force for Snakes
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Segmentation of optic disc in retinal images using an improved gradient vector flow algorithm
Multimedia Tools and Applications
Pattern Recognition Letters
Mean shift based gradient vector flow for image segmentation
Computer Vision and Image Understanding
Hi-index | 0.10 |
The classical gradient vector flow (GVF) method suffers from deficiency in the presence of other significant edges adjacent to the real boundary. In this paper, we propose an improved energy function to challenge this problem by consistently reducing the Euclidean distance between the inspected centroid of the real boundary and the estimated one of the snake. Experimental work shows the proposed framework outperforms the classical GVF algorithm in different circumstances.