A note on the gradient of a multi-image
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Edge detection in multispectral images
CVGIP: Graphical Models and Image Processing
A multiscale algorithm for image segmentation by variational method
SIAM Journal on Numerical Analysis
International Journal of Computer Vision
Computer Vision and Image Understanding
Geometry Motivated Variational Segmentation for Color Images
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Color Image Segmentation for Objects of Interest with Modified Geodesic Active Contour Method
Journal of Mathematical Imaging and Vision
Rapid and Brief Communication: GACV: Geodesic-Aided C-V method
Pattern Recognition
A variational formulation for segmenting desired objects in color images
Image and Vision Computing
Medical Image Segmentation by Geodesic Active Contour Incorporating Region Statistical Information
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
A fast and accurate semi-Lagrangian particle level set method
Computers and Structures
Color-texture image segmentation by combining region and photometric invariant edge information
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Standardization of edge magnitude in color images
IEEE Transactions on Image Processing
Image data field for homogeneous region based segmentation
Computers and Electrical Engineering
Hi-index | 0.00 |
In this paper, a novel geometric active contour model for color image is presented. It combines squared local contrast based alignment term about directional information of edge location as part of driving force, together with the improved geodesic active contour model containing Bays error based two-region segmentation information. And all these measures are integrated as a unified framework. Finally, an unconditionally stable and simple numerical scheme, including the narrow band and fast marching methods, is introduced for efficiently implementing this novel model. Experimental results on color image segmentation show that it can extract the contour of color images precisely and its performance is shown much better than the geodesic-aided C-V (GACV) method when directional information about edge location is supplied.