2026-05-09T11:15:55.535Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:3274 2015-09-11T09:12:01Z 1

Modelling by fuzzy approach uncertainties in image analysis 2014 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/3274 http://conf-uni.obuda.hu/cinti2014 E. Pap D. Obradović Z. Konjović Investigating some objects in all areas, they are mapped to the digital raster image using different kinds of sensors, the obtained image is only an approximation to the realworld object. Due to imperfections in either the image data or the edge detector, there may be missing points or pixels on lines as well as spatial deviations between ideal line and the set of imprecise points obtained from the edge detector. The overall effect is an image that has some distortion in its geometry. In this paper it is presented a mathematical model based on fuzzy sets. In this way there covered these uncertainties, and it is obtained correct interpretation and important decisions in different important areas as image analysis (imprecise feature extraction), GIS (imprecise spatial object modeling), robotics (environment models), and in medicine (DICOM medical images). conferenceObject 11 14 15th International Symposium on COMPUTATIONAL INTELLIGENCE and INFORMATICS (CINTI 2014)