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
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