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.)
Edge detection in multispectral images
CVGIP: Graphical Models and Image Processing
Variational methods in image segmentation
Variational methods in image segmentation
International Journal of Computer Vision
Images as Embedded Maps and Minimal Surfaces: Movies, Color, Texture, and Volumetric Medical Images
International Journal of Computer Vision - Special issue on computer vision research at the Technion
Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model
ECCV '92 Proceedings of the Second European Conference on Computer Vision
An Active Contour Model without Edges
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Geometric-Variational Approach for Color Image Enhancement and Segmentation
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Anisotropic diffusion of multivalued images with applications to color filtering
IEEE Transactions on Image Processing
Color TV: total variation methods for restoration of vector-valued images
IEEE Transactions on Image Processing
A general framework for low level vision
IEEE Transactions on Image Processing
Fast edge integration based active contours for color images
Computers and Electrical Engineering
Geometric Approach to Measure-Based Metric in Image Segmentation
Journal of Mathematical Imaging and Vision
Geometric active contours without re-initialization for image segmentation
Pattern Recognition
A geometric active contour model without re-initialization for color images
Image and Vision Computing
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We propose image enhancement, edge detection, and segmentation models for the multi-channel case, motivated by the philosophy of processing images as surfaces, and generalizing the Mumford-Shah functional. Refer to http://www.cs.technion.ac.il/~sova/canada01/ for color figures.