Color Differential Structure

Authors:
Bart M. ter Haar Romeny;Jan-Mark Geusebroek;Peter Van Osta;Rein van den Boomgaard;Jan J. Koenderink
Affiliations:
-;-;-;-;-
Venue:
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
Year:
2001

Citing 2
Cited 3

Color Invariant Edge Detection

SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Color and Scale: The Spatial Structure of Color Images

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I

Analyzing perceptual organization in information graphics

Information Visualization - Special issue of selected and extended InfoVis 03 papers
Convex colour sieves

Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
A model of multi-scale perceptual organization in information graphics

INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

The scale-space approach to the differential structure of color images was recently introduced by Geusebroek et al. [1,2], based on the pioneering work of Koenderink's Gaussian derivative color model [5]. To master this theory faster, we present the theory as a practical implementation in the computer algebra package Mathematica for the extraction of color differential structure. Many examples are given, the practical code examples enable easy extensive experimentation. High level programming is now fast: all examples run with 5-15 seconds on typical images on a typical modern PC.