Freeman kodlarinin çi̇ft-yönlü süzgeç lenmesi̇ i̇le köşe tespi̇ti̇

Translated title of the contribution: Corner detection with bilateral filtering of freeman codes

Cihan Topal*, Kemal Özkan, Cüneyt Akinlar

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Shape contours are one of the most widely used features in the shape detection and recognition applications. A contour can be represented by the chain code which is obtained by coding the relative directions of the elements which form that contour. Sharp transitions in a chain code of a shape contour correspond to the notches and corners that the shape has on the 2D plane. Moreover, very useful information about geometric structures and orientations of the shapes can be obtained by examining the distribution and the moments of the chain code. But chain codes may not be robust to the rotation because of the quantization process of digitizing the curves. Besides, obtaining them from real images in an efficient way is another tough problem. In this work, efficient chain codes are extracted from real images by Edge Drawing method and a corner detection algorithm based on bilateral filtering is proposed.

Translated title of the contributionCorner detection with bilateral filtering of freeman codes
Original languageTurkish
Title of host publication2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Pages622-625
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 - Antalya, Turkey
Duration: 20 Apr 201122 Apr 2011

Publication series

Name2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

Conference

Conference2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Country/TerritoryTurkey
CityAntalya
Period20/04/1122/04/11

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