Fast edge filter and multi-scale edge detection
(English)Manuscript (preprint) (Other academic)
The first step of efficient edge detection is to use a filter to detect intensity change. The filter size is a parameter which affects the edge detection result. A filter of large size is less sensitive to noise while a filter of small size is more accurate when locating edges. This gives the user a choice of choosing the proper filter size depending on the situation. A more stable edge detection approach is multi-scale edge detection, which detects gradients using several filter sizes. The time consumption of a conventional edge filter is usually or , where w is the width of the filter. Therefore, using filters of large size or multi-scale filters is not very efficient. We propose an efficient edge detection method with time consumption. It uses the center of mass concept and utilizes the power of integral images to achieve this efficiency. The results of our experiments show that the proposed edge detector is very stable and we also propose a simplified multi-scale edge detection scheme which can be used in practical operations.
edge detection, fast, scale-space
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject Signal Processing
IdentifiersURN: urn:nbn:se:umu:diva-111183OAI: oai:DiVA.org:umu-111183DiVA: diva2:867824