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Proceedings Paper

Satellite image segmentation by mathematical pretopology and automatic classification
Author(s): Abdelkrim Meziane; Tahar Iftene; Nazha Selmaoui
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Paper Abstract

The image segmentation is the process which permits the image to be partitioned in zones of interest corresponding to scene objects. We propose two algorithms based on the mathematical pretopology and the structuring functions for detecting crests lines in a grey level image at a very high definition. The first algorithm is based on a method of grouping by relaxing propagation on the definition of a pretopological structure on the set to be classified. The second algorithm consists of grouping by extraction of a new pretopology from the one defined initially. It directly detects the crests lines, whereas the first makes it in an indirect way. These methods were tested on a SPOT panchromatic image on the region of Oran. From the results, we could conclude that these methods can be very well be embedded to a process of detection of roads, iron-shod ways, and water courses.

Paper Details

Date Published: 22 December 1997
PDF: 5 pages
Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); doi: 10.1117/12.295607
Show Author Affiliations
Abdelkrim Meziane, Ctr. National des Techniques Spatiales (Algeria)
Tahar Iftene, Ctr. National des Techniques Spatiales (Algeria)
Nazha Selmaoui, Ctr. National des Techniques Spatiales (Algeria)

Published in SPIE Proceedings Vol. 3217:
Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing
Jacky Desachy; Shahram Tajbakhsh, Editor(s)

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