The Sum of minimal distances as a useful distance measure for image registration
2010 (English)In: Proceedings SSBA 2010 / [ed] Cris Luengo and Milan Gavrilovic, Uppsala: Centre for Image Analysis , 2010, 55-58 p.Conference paper (Other academic)
In this paper we study set distances which are used in image registration related problems. We introduced a new distance as a Sum of minimal distances with added linear weights. Linear weights are added in a way to reduce the impact of single outliers. An evaluation of observed distances with respect to applicability to image object registration is performed. A comparative study of set distances with respect to noise sensitivity as well as with respect to translation and rotation of objects in image is presented. Based on our experiments on synthetic images containing various types of noise, we determine that the proposed weighted sum of minimal distances has a good performances for object registration.
Place, publisher, year, edition, pages
Uppsala: Centre for Image Analysis , 2010. 55-58 p.
Computer Vision and Robotics (Autonomous Systems)
Research subject Computerized Image Processing
IdentifiersURN: urn:nbn:se:uu:diva-141068OAI: oai:DiVA.org:uu-141068DiVA: diva2:384938
Symposium on Image Analysis