DocumentCode :
847788
Title :
The analysis of natural textures using run length features
Author :
Loh, Horng-Hai ; Leu, Jia-Guu ; Luo, Ren C.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Volume :
35
Issue :
2
fYear :
1988
fDate :
5/1/1988 12:00:00 AM
Firstpage :
323
Lastpage :
328
Abstract :
A family of texture features is presented that have the ability to discriminate different textures in a 3-D scene as well as the ability to recover the range and orientation of the surfaces of the scene. These texture features are derived from the gray-level run-length matrices (GLRLMs) of an image. The GLRLMs are first normalized so that they all have equal average gray-level run length. Features extracted from the normalized GLRLMs are independent of the surface geometry. These features can be used in three-dimensional scene analysis where textures need to be identified according to their differences. Based on the average-run-length information and the classification results, surface range as well as surface orientation of a textured surface can be recovered
Keywords :
computerised pattern recognition; computerised picture processing; 3-D; gray-level run-length matrices; natural textures; run length features; three-dimensional scene analysis; Cameras; Computer science; Feature extraction; Geometry; Image segmentation; Layout; Satellites; Shape; Surface structures; Surface texture;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/41.192665
Filename :
192665
Link To Document :
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