DocumentCode :
2299400
Title :
Multifractal Analysis of Edge Images Detected with Classical Edge Detector
Author :
Chen Wei ; Chen Xing-xin ; Zhou Li
Author_Institution :
Coll. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou, China
Volume :
2
fYear :
2010
fDate :
13-14 March 2010
Firstpage :
725
Lastpage :
727
Abstract :
This paper proposes that multifractal analysis method be adopted for the analysis of edge images detected with classical edge detectors. We analyze the direct multifractal analysis method based on box-counting method with experimental images, and determine the value of f(q) and a(q). By using this method, we find that the edge images detected by difference edge detectors are similar, but, the multifractal micro-structures of them are different, and, that of edge images detected by Prewitt and Roberts detector are parallel, and so do that by Log and Zerocross detector.
Keywords :
edge detection; fractals; statistical analysis; Zerocross detector; edge images detection; log detector; multifractal analysis; multifractal microstructures; Automation; Detectors; Educational institutions; Fractals; Image analysis; Image edge detection; Image texture analysis; Mechatronics; Paper technology; Q measurement; box-counting; edge detectors; edge images; multifractal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
Type :
conf
DOI :
10.1109/ICMTMA.2010.398
Filename :
5459816
Link To Document :
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