Title :
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
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;
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
DOI :
10.1109/ISPA.2001.938620
