Paper Details: Downloads: 343
Serial Number: P1150825001
Title: Segmentation of Urban Road Network from satellite Images using Fuzzy Mathematical Morphology.
Authors: S . Letitia , Dr. Elwin Chandramonie ,
Abstract: Fuzzy mathematical morphology has been proposed as a new method of image processing, especially in the analysis of features from an ambiguous image. Fuzzy morphological operators work with two images: an original to be processed and a structuring element . In this paper we have developed an algorithm for segmentation of a remotely sensed image to extract the urban road network using Fuzzy Mathematical Morphology. In the vast field of image processing, Fuzzy Mathematical Morphology is not only an established image analysis technique with applications in all disciplines dealing with digital spatial data but also alternative extension of binary morphology to gray scale morphology using techniques from fuzzy set theory and fuzzy logic. It allows processing images to enhance fuzzy areas, segment objects, detect edges and analyze structures. The algorithm developed in this paper enables us to segment the road from the satellite aerial images efficiently.
Keywords: Fuzzy Mathematical Morphology , structuring element , segmentation.
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 8
Issue: 4
Submission Date: 6/19/2008 12:00:00 AM
Review Date: 6/21/2008 12:00:00 AM
Publishing Date: 10/5/2008 12:00:00 AM
Article Downloads: 343
Download:

Facebook