DocumentCode :
481726
Title :
Multi-Scale Shaft Parts Image Edge Detection and Measurement Based on Wavelet Transform
Author :
Ji, Ge ; Yaonan, Wang ; Bowen, Zhou ; Hui, Zhang
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha
Volume :
1
fYear :
2008
fDate :
19-20 Dec. 2008
Firstpage :
371
Lastpage :
375
Abstract :
Multi-scale edge detection method was demonstrated, also detailed algorithms, flow chart were put forward, shaft partspsila image as an example in this article. The algorithms resolve two problems existing in the first generation multi-scale edge detection, the demerits were edge defined only considering its irregularity and difficult selection of filtering scale. More satisfied edge detection results can be got applying wavelet transformationspsila regularity under different scales or the same scale. To realize image measurement, system calibration is the key factor, which ascertains the detection accuracy. Detection experiments are carried out to compare between the traditional operators and proposed algorithm, real dimension lengths of the shaft parts are calculated with the calibrated coefficient.
Keywords :
edge detection; filtering theory; wavelet transforms; filtering scale; image measurement; multiscale shaft parts image edge detection; wavelet transform; Computational intelligence; Computer industry; Conferences; Filtering algorithms; Image color analysis; Image edge detection; Image texture analysis; Shafts; Smoothing methods; Wavelet transforms; Edge detection and measurement; Multi-scale; Shaft parts; Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
Type :
conf
DOI :
10.1109/PACIIA.2008.69
Filename :
4756584
Link To Document :
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