Texture based classification and segmentation using the Laguerre-Gauss transform

Author

Carli, Marco ; Neri, Alessandro ; Hatipoglu, Serkan ; Mitra, Sanjit K.

Author_Institution

Electr. Eng. Dept., Univ. of Roma TRE, Italy

fYear

2001

fDate

2001

Firstpage

155

Lastpage

158

Abstract

In this paper, we introduce a new tool for the image segmentation problem. For this purpose, we have developed a texture based segmentation and classification strategy based on a representation of the image components by a family of circular harmonic functions (CHF) defining the Laguerre-Gauss transform (LGT). LGT is the polar counterpart of the Hermite transform. By utilizing the outputs of CHF operators at different scales, we use a multiscale segmentation and investigate the performance of CHF texture features

Keywords

image classification; image representation; image segmentation; image texture; transforms; Hermite transform; Laguerre-Gauss transform; circular harmonic functions; image component representation; multiscale segmentation; polar counterpart; texture based image classification; texture based image segmentation; Classification algorithms; Feature extraction; Gaussian processes; Image segmentation; Pattern matching; Pattern recognition; Polynomials; Spatial databases; Testing; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on

Conference_Location

Pula

Print_ISBN

953-96769-4-0

Type

conf

DOI

10.1109/ISPA.2001.938620

Filename

938620