Accession Number : ADA138366

Title :   Feature Analysis and Reduction of Laws Texture Measure.

Descriptive Note : Research note,

Corporate Author : ARMY ENGINEER TOPOGRAPHIC LABS FORT BELVOIR VA

Personal Author(s) : Rand,R S ; Shine,J A

PDF Url : ADA138366

Report Date : Oct 1983

Pagination or Media Count : 46

Abstract : The Laws Texture Measure was tested in an autoevaluation experiment and compared to some of the texture measures previously studied. In addition, four methods of component reduction were evaluated. Laws Texture was found to be the most effective measure for identifying a Buildings/Roads class; however, it was less effective on other classes. A technique that transforms the original components into principal components and then arranges the transformed components in an order that maximizes the divergence was selected as the most effective component reduction method. (Author)

Descriptors :   *Image processing, *Data reduction, *Texture, *Topography, *Digital maps, *Numerical methods and procedures, Segmented, Algorithms, Pattern recognition, Buildings, Roads, Experimental data, Windows, Bayes theorem, Tables(Data)

Subject Categories : Cartography and Aerial Photography
      Statistics and Probability
      Optics

Distribution Statement : APPROVED FOR PUBLIC RELEASE