A NOVEL MULTI-SCALE AND MULTI-EXPERT EDGE DETECTION METHOD BASED ON COMMON VECTOR APPROACH


IŞIK Ş., ÖZKAN K.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Turkey, 23 - 25 April 2014, pp.1630-1633 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2014.6830558
  • City: Trabzon
  • Country: Turkey
  • Page Numbers: pp.1630-1633
  • Eskisehir Osmangazi University Affiliated: Yes

Abstract

Edge detection is most popular problem in image analysis. To develop an edge detection method that has efficient computation time, sensing to noise as minimum level and extracting meaningful edges from the image, so that many crowded edge detection algorithms have emerged in this area. The different derivative operators and possible different scales are needed in order to properly determine all meaningful edges in a processed image. In this work, we have combined the edge information obatined from each operators at different scales with the comcept of common vector apprach and obtained edge segments that connected, thin and robust to the noise.