DocumentCode :
2115173
Title :
From Hough transform to integral geometry [image processing]
Author :
Becker, Jean-Marie ; Grousson, Stéphane ; Coltuc, Daniela
Author_Institution :
Lab. LISA, Ecole Sup. de Chimie, Phys., Electronique de Lyon, Villeurbanne, France
Volume :
3
fYear :
2002
fDate :
24-28 June 2002
Firstpage :
1444
Abstract :
The Hough transform (HT) is a classical tool for multiple alignment detection in image processing, based on the property that Aligned Points are transformed into Intersecting Curves (APIC). Among the alternative transforms which possess the APIC property, one of the most interesting is polar transform (PT) which exchanges a point (a, b) and the straight line with equation ax+by=1. This transform represents classical duality between a pole and its polar line with respect to the unit circle. Another property common to both HT and PT is the correspondence between the shapes´ Boundary Length and connected Areas (BLA property), either directly or compensated by a weight function, allowing an efficient measure of these lengths on a digital screen. PT is shown to be connected to projective and integral (or stochastic) geometry with an important role given to a weight function 1/d3.
Keywords :
Hough transforms; geometry; image processing; APIC property; Aligned Points transformed into Intersecting Curves; BLA property; Boundary Length and connected Areas; Hough transform; image processing; integral geometry; multiple alignment detection; polar transform; weight function; Area measurement; Equations; Geometry; Image processing; Length measurement; Shape measurement; Stochastic processes; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
Type :
conf
DOI :
10.1109/IGARSS.2002.1026143
Filename :
1026143
Link To Document :
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