Independent Thresholds on Multi-scale Gradient Images
2013 (English)In: The 1st IEEE/IIAE International Conference on Intelligent Systems and Image Processing 2013 (ICISIP2013), Kitakyushu, Japan, 2013, 124-131 p.Conference paper (Refereed)
In this paper we propose a multi-scale edge detection algorithm based on proportional scale summing. Our analysis shows that proportional scale summing successfully improves edge detection rate by applying independent thresholds on multi-scale gradient images. The proposed method improves edge detection and localization by summing gradient images with a proportional parameter cn (c < 1); which ensures that the detected edges are as close as possible to the fine scale. We employ non-maxima suppression and thinning step similar to Canny edge detection framework on the summed gradient images. The proposed method can detect edges successfully and experimental results show that it leads to better edge detection performance than Canny edge detector and scale multiplication edge detector.
Place, publisher, year, edition, pages
Kitakyushu, Japan, 2013. 124-131 p.
, The Institute of Industrial Applications Engineers, Japan
Edge, Detection, Multi-scale
Signal Processing Computer Vision and Robotics (Autonomous Systems)
Research subject Computerized Image Analysis
IdentifiersURN: urn:nbn:se:umu:diva-82278DOI: 10.12792/icisip2013.027OAI: oai:DiVA.org:umu-82278DiVA: diva2:660384
The 1st IEEE/IIAE International Conference on Intelligent Systems and Image Processing 2013 (ICISIP2013)
ProjectsINTRO – INteractive RObotics research network
FunderEU, FP7, Seventh Framework Programme