Texture segmentation using directional operators

L. M. Linnett, A. J. Richardson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A method for the classification and segmentation of texture in images is presented. The method derives texture features from the image which are independent of mean gray-scale level but dependent on texture orientation. Each pixel in the original image can then be classified using supervised pattern-recognition techniques. A segmentation of the image can be produced by delineating the boundaries within the classified image in horizontal and vertical directions. The algorithm is efficient and can be implemented using general or specialist processors. Results from a sidescan sonar image of a sea bed and a video image containing samples of real texture are given.

Original languageEnglish
Title of host publication1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5)
Pages2309-2312
Number of pages4
Volume4
DOIs
Publication statusPublished - 1990
Event1990 International Conference on Acoustics, Speech, and Signal Processing - Albuquerque, New Mexico, USA
Duration: 3 Apr 19906 Apr 1990

Conference

Conference1990 International Conference on Acoustics, Speech, and Signal Processing
CityAlbuquerque, New Mexico, USA
Period3/04/906/04/90

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