Title

Evaluation Of Color Spaces For Edge Classification In Outdoor Scenes

Abstract

Knowing which edges in an image denote shadow edges and which are due to object boundaries or changes in surface reflectance has important applications in both computer vision and mixed reality. We show that the choice of color space has a significant effect on our ability to differentiate shadow edges from reflectance edges, particularly in sunlit scenes. We have evaluated the performance of 11 color spaces on an input data of more than a hundred colors imaged in a variety of illumination conditions. We quantify the performance of these color spaces using Receiver Operating Characteristic curves, and use the z statistic to find if the difference in performances is statistically significant. © 2005 IEEE.

Publication Date

12-1-2005

Publication Title

Proceedings - International Conference on Image Processing, ICIP

Volume

3

Number of Pages

952-955

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICIP.2005.1530551

Socpus ID

33749251642 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33749251642

This document is currently not available here.

Share

COinS