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Journal ArticleDOI

The Radon transform and its application to shape parametrization in machine vision

Violet F. Leavers, +1 more
- Vol. 5, Iss: 2, pp 161-166
TLDR
The results show that each set of coded information is transparent to any other and that each shape-indicative distribution may be located using a convolution mask peculiar to that distribution.
Abstract
A general method is presented that uses the Radon transform as a means of defining a two-dimensional transform space in which information about different, analytically defined shape primitives in an edge image space may be encoded simultaneously. Examples are given illustrating how the shape-indicative distributions within the transform space may be deduced. The results show that each set of coded information is transparent to any other and that each shape-indicative distribution may be located using a convolution mask peculiar to that distribution.

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Citations
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Journal ArticleDOI

A survey of the Hough transform

TL;DR: This survey will provide a useful guide to quickly acquaint researchers with the main literature in this research area and it seems likely that the Hough transform will be an increasingly used technique.
Journal ArticleDOI

X-ray imaging and analysis techniques for quantifying pore-scale structure and processes in subsurface porous medium systems

TL;DR: X-ray microtomographic imaging is a non-destructive technique for quantifying these processes in three dimensions within individual pores, and as reported here, with rapidly increasing spatial and temporal resolution.
Journal ArticleDOI

A probabilistic Hough transform

TL;DR: It is shown that if just a small subset of the edge points in the image, selected at random, is used as input for the Hough Transform, the performance is often only slightly impaired, thus the execution time can be considerably shortened.
Journal ArticleDOI

Advances in automatic ebsp single orientation measurements

TL;DR: A completely automated system which couples automatic analysis of electron backscatter diffraction diffraction patterns (EBSPs) with precise movement of the sample in the SEM is described and the Hough transform approach to correctly identify diffraction bands is quantitatively compared with the Burns algorithm.
Journal Article

Image processing procedures for analysis of electron back scattering patterns

TL;DR: This paper presents ways to automatically detect and localize bands in EBSPs and thereby enable fully automatic EBSP analysis using a modified Hough transform.
References
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Journal ArticleDOI

Use of the Hough transformation to detect lines and curves in pictures

TL;DR: It is pointed out that the use of angle-radius rather than slope-intercept parameters simplifies the computation further, and how the method can be used for more general curve fitting.
Journal ArticleDOI

Generalizing the hough transform to detect arbitrary shapes

TL;DR: It is shown how the boundaries of an arbitrary non-analytic shape can be used to construct a mapping between image space and Hough transform space, which makes the generalized Houghtransform a kind of universal transform which can beused to find arbitrarily complex shapes.
Journal ArticleDOI

Hough Transform from the Radon Transform

TL;DR: An appropriate special case of a transform developed by J. Radon in 1917 is shown to have the major properties of the Hough transform which is useful for finding line segments in digital pictures.
Journal ArticleDOI

Locating straight-line edge segments on outdoor scenes

TL;DR: “ 효과 차이가 존재하는 것으로 구분하여’, 팝아트 작품은 기능지향 브랜드콘셉
Journal ArticleDOI

Machine Vision Applied to Vehicle Guidance

TL;DR: Research on the semiautonomous operation of mobile robots in typical pathways is described, and a method to separate obstacles from shadows using stere vision is presented.