@inproceedings{175495b0360f4a94a0337f0b483663f0,
title = "2-D orthogonal lattice filter based image segmentation",
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(2-D) 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 = "2-D orthogonal lattice filters, Feature, Image segmentation",
author = "Aykut, \{Saide Zeynep\} and Ridvan Gurcan and Isin Erer",
year = "2004",
doi = "10.1109/IGARSS.2004.1369954",
language = "English",
isbn = "0780387422",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3814--3817",
booktitle = "2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings",
address = "United States",
note = "2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings, IGARSS 2004 ; Conference date: 20-09-2004 Through 24-09-2004",
}