- Color invariant edge detection
- Book/source title
- Scale-Space Theories in Computer Vision
- Book/source subtitle
- Second International Conference, Scale-Space’99, Corfu, Greece, September 26–27, 1999 : proceedings
- Pages (from-to)
- Berlin: Springer
- ISBN (electronic)
- Lecture Notes in Computer Science: 0302-9743
- Volume (Serie)
- Document type
- Conference contribution
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
Segmentation based on color, instead of intensity only, pro- vides an easier distinction between materials, on the condition that ro- bustness against irrelevant parameters is achieved, such as illumination source, shadows, geometry and camera sensitivities. Modeling the phys- ical process of the image formation provides insight into the effect of different parameters on object color.
In this paper, a color differential geometry approach is used to detect material edges, invariant with respect to illumination color and imaging conditions. The performance of the color invariants is demonstrated by some real-world examples, showing the invariants to be successful in discounting shadow edges and illumination color.
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