DocumentCode :
3381643
Title :
A Psychometric Approach to Edge Detector Calibration in Grey-scale Images
Author :
MacKinnon, David K. ; Aitken, Victor C.
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont.
Volume :
3
fYear :
2005
fDate :
16-19 May 2005
Firstpage :
2059
Lastpage :
2064
Abstract :
An edge detection algorithm is a filter which significantly reduces the amount of information present in an image such that only high frequency changes in either range or intensity are visible in the resulting image. In order to perform effective edge detection the user must have a clear idea of the frequency above which an edge will be identified. In grey-scale images, edges represent sudden or high-frequency changes in the grey-scale, also referred to as intensity or luminence, level of an image. In practice, what is considered a "high-frequency change" is dependent upon the purpose for which the edge detector has been selected. In this paper it is proposed that to determine the minimum grey-level threshold and per-pixel intensity change at which the user deems a "true" step edge exists, psychometric testing is required. This information is then used to calibrate common edge detection methods which are subsequently used to filter a series of common grey-scale images
Keywords :
edge detection; psychometric testing; edge detection algorithm; edge detector calibration; grey-level threshold; grey-scale images; psychometric testing; Calibration; Detectors; Face detection; Frequency; Humans; Image edge detection; Information filtering; Information filters; Psychology; Systems engineering and theory; edge detection; edge detector calibration; edge slope; psychometric measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
Type :
conf
DOI :
10.1109/IMTC.2005.1604536
Filename :
1604536
Link To Document :
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