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
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