Filters evaluation for detection of contours in satellite images for cadaster purposes

Luis Cadena, Franklin Cadena, Alexey Kruglyakov, Алексей Анатольевич Романенко, Alexander Zotin

Research output: Contribution to journalConference articlepeer-review

Abstract

The contour detection has an important role in image processing, especially in the detection and the extraction physical features, those which are useful to their enforcement in the analysis of cadasters. A new methodology is shown for processing satellite images using spatial filters. The contour of satellite images are obtained and compared with conventional processing filters. The results were obtained with the filters Sobel, Prewitt, Roberts, Canny, and LoG for processing satellite images and they were evaluated using Structural Similarity Index (SSIM) for measuring image quality
Original languageEnglish
Pages (from-to)422-425
Number of pages4
JournalLecture Notes in Engineering and Computer Science
Volume1
Publication statusPublished - 1 Jan 2017

Keywords

  • Canny
  • Contour
  • Digital image
  • Filters Sobel
  • LoG. ssim
  • Prewitt Roberts
  • Satellite image

OECD FOS+WOS

  • 1.02 COMPUTER AND INFORMATION SCIENCES

State classification of scientific and technological information

  • 20 INFORMATICS

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