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