Classification of textures seen from different distances and under varying illumination direction
Open Access
- 1 January 2003
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations produce displacements of class members in the feature space, increasing the failure rates of texture classifiers. To avoid this problem, a model-based texture recognition system which classifies textures seen from different distances and under different illumination directions is presented in this paper. The system works on the basis of a surface model obtained by means of 4-source colour photometric stereo, used to generate 2D image textures under different illumination directions. The recognition system combines coocurrence matrices for feature extraction with a Nearest Neighbour classifier. Moreover, the recognition allows one to guess the approximate direction of the illumination used to capture the test imagKeywords
This publication has 5 references indexed in Scilit:
- The 4-source photometric stereo technique for three-dimensional surfaces in the presence of highlights and shadowsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- The Effect of Illuminant Rotation on Texture Filters: Lissajous’s EllipsesPublished by Springer Nature ,2002
- Representing and Recognizing the Visual Appearance of Materials using Three-dimensional TextonsInternational Journal of Computer Vision, 2001
- Why illuminant direction is fundamental to texture analysisIEE Proceedings - Vision, Image, and Signal Processing, 1995
- Textural Features for Image ClassificationIEEE Transactions on Systems, Man, and Cybernetics, 1973