2-D orthogonal lattice filter based image segmentation

Author

Aykut, Saide Zeynep ; Gurcan, Ridvan ; Erer, Isin

Author_Institution

Electr. & Electron. Fac., Istanbul Tech. Univ.

Volume

6

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

3814

Abstract

The purpose of image segmentation is to partition an image into homogeneous regions. Features are of major importance in image segmentation. In this work, a new method is proposed in which features used for segmentation are reflection coefficients of the two-dimensional (2D) orthogonal lattice filters. Principal component analysis (PCA) is applied to the features for reducing the complexity of the work. A minimum distance classifier is used in the classification algorithms. The proposed method is compared with the discrete wavelet transform which is a common segmentation algorithm. In our work, selected image is a monospectral optical image

Keywords

discrete wavelet transforms; feature extraction; geophysical signal processing; geophysical techniques; image classification; image segmentation; principal component analysis; remote sensing; 2D orthogonal lattice filter; discrete wavelet transform; homogeneous regions; image partitioning; image segmentation; monospectral optical image; principal component analysis; reflection coefficients; segmentation algorithm; Discrete wavelet transforms; Feature extraction; Filtering theory; Image segmentation; Lattices; Optical filters; Optical reflection; Predictive models; Principal component analysis; Remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1369954

Filename

1369954