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2-D orthogonal lattice filter based image segmentation

  • Saide Zeynep Aykut*
  • , Ridvan Gurcan
  • , Isin Erer
  • *Corresponding author for this work
  • Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings
Subtitle of host publicationScience for Society: Exploring and Managing a Changing Planet. IGARSS 2004
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3814-3817
Number of pages4
ISBN (Print)0780387422
DOIs
Publication statusPublished - 2004
Event2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings, IGARSS 2004 - Anchorage, AK, United States
Duration: 20 Sept 200424 Sept 2004

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume6
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

Conference2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings, IGARSS 2004
Country/TerritoryUnited States
CityAnchorage, AK
Period20/09/0424/09/04

Keywords

  • 2-D orthogonal lattice filters
  • Feature
  • Image segmentation

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