DocumentCode :
1772460
Title :
Detección de líneas en imágenes con ruido en un entorno de medición de alta precisión
Author :
Bergues, G. ; Ames, G. ; Canali, L. ; Schurrer, C. ; Flesia, Ana Georgina
Author_Institution :
Centro de Metrol. Dimensional, Univ. Tecnol. Nac., Cordoba, Argentina
fYear :
2014
fDate :
11-13 June 2014
Firstpage :
582
Lastpage :
587
Abstract :
The objective of this paper is to study the detection algorithms of line centers. These algorithms are used to precise the positions of such lines on the scales of high precision measuring instruments. Based on previous simulation and on the implementation of the algorithms that were simulated in the actual images of the scale and crosshair lines of a Nikon 6D autocollimator, we studied a line segmentation and center detection algorithm built using the Hough transform. We also present the algorithm behaviour when working with noise images.
Keywords :
Hough transforms; edge detection; image segmentation; Hough transform; Nikon 6D autocollimator; center detection algorithm; crosshair lines; high precision measuring instruments; line detection algorithm; line segmentation; noisy images; scale lines; Biomedical imaging; Charge coupled devices; Detection algorithms; Image resolution; Image segmentation; Instruments; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biennial Congress of Argentina (ARGENCON), 2014 IEEE
Conference_Location :
Bariloche
Print_ISBN :
978-1-4799-4270-1
Type :
conf
DOI :
10.1109/ARGENCON.2014.6868554
Filename :
6868554
Link To Document :
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