Title :
Comparative studies of 3-D textural features and their reliability in terrain classification
Author :
Wang, Xiaoguang ; Hanson, Allen R. ; Riseman, Edward M. ; Schultz, Howard
Author_Institution :
Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA
Abstract :
We study the reliability of a set of stereo-based 3-D textural features in classification in response to different training data. Two types of training data, “labeling-based” and “chip-based,” are investigated. Experiments have been carried out to compare the 3-D features with a set of 2-D features based on co-occurrence analysis. Results show that the 3-D features consistently outperform the 2-D features in terms of classification accuracy under various configurations of training data
Keywords :
feature extraction; image classification; stereo image processing; 3D textural features; co-occurrence analysis; reliability; stereo-based 3-D textural features; terrain classification; training data; Algorithm design and analysis; Computer science; Contracts; Image databases; Image texture analysis; Rough surfaces; Surface roughness; Surface texture; Testing; Training data;
Conference_Titel :
Applications of Computer Vision, 1998. WACV '98. Proceedings., Fourth IEEE Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-8186-8606-5
DOI :
10.1109/ACV.1998.732877