Entropy measures for texture analysis based on Hadamard transform

Author

Desoky, Ahmed H. ; Hall, Steven A.

Author_Institution

Dept. of Eng. Math. & Comput. Sci., Louisville Univ., KY, USA

fYear

1990

fDate

1-4 Apr 1990

Firstpage

467

Abstract

The implementation of a software texture analysis technique for images based on the entropy of transform components is described. Different images were compared by computing their entropies, resulting in a relative texture measure. Since entropy can be based on the statistics of both gray-level components and frequency components, four entropy computation routines were implemented. The software calculates the entropy of the gray-levels histogram, the frequency components using the fast-Fourier transform (FFT), transform components using the discrete-cosine transform (DCT), and the transform coefficients of the fast-Hadamard transform (FHT). Because of its decrease in computation time and storage requirements, fast Hadamard was chosen as a better transformation. Entropy calculations were tested on different regional sizes in a time-varying imaging system in order to study regional variations of texture

Keywords

computerised picture processing; fast Fourier transforms; (FHT; DCT; FFT; discrete-cosine transform; entropy computation routines; entropy software; fast-Fourier transform; fast-Hadamard transform; frequency components; gray-level components; gray-levels histogram; image processing; relative texture measure; software texture analysis technique; time-varying imaging system; transform components; Discrete cosine transforms; Discrete transforms; Entropy; Fast Fourier transforms; Frequency; Histograms; Image analysis; Image texture analysis; Statistics; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon '90. Proceedings., IEEE

Conference_Location

New Orleans, LA

Type

conf

DOI

10.1109/SECON.1990.117857

Filename

117857