Improving an extended version of the Hough transform

Nixon, Mark S.

doi:10.1016/0165-1684(90)90161-q

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…Multiple approaches have been suggested to extract linear structures from satellite imagery. For example, the Hough transform [24,25] have been widely used to search for parametric curves (such as line segments or circles) in an image. However, this method can be limited by parametrization restricting the search to line segments.…”

Section: Literature Reviewmentioning

confidence: 99%

Automatic urban boundary delineation in equatorial regions using SAR imagery: a comprehensive approach with decomposition, morphology, and statistical active contours

2023

IJACR

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Recent years have been marked by a steady increase in the number of roads and demographic trends. Faced with this reality, many countries and national and international organizations have taken part in an international effort aimed at achieving several key objectives: providing accurate information on the scale of disasters, facilitating the intervention of rescue teams in the event of a major catastrophe, and coordinating international aid to help disasterstricken regions.*Author for correspondence Indeed, in major disaster situations, it becomes extremely difficult for human responders to assess and access the situation on the ground. This is where satellite images come in very handy, as they provide essential information for organizing a rapid and effective response. These images help to orientate rescue teams by providing detailed maps of the damage, and also facilitate the identification of communication routes that are still operational to deliver the necessary aid.Remote sensing plays an essential role in establishing a rapid and effective response chain to major hazards,

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Section: Literature Reviewmentioning

confidence: 99%

Automatic urban boundary delineation in equatorial regions using SAR imagery: a comprehensive approach with decomposition, morphology, and statistical active contours

2023

IJACR

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“…A least squares technique for ellipse extraction [4] has been extended to circle extraction. Gradient direction information has also been used before to reduce data in circle extraction [5,6] but these use measured edge direction alone.…”

Section: Introductionmentioning

confidence: 99%

Circle extraction via least squares and the Kalman filter

Nixon

1993

Computer Analysis of Images and Patterns

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Abstr~tct. Two new techniques have been developed to extract circles in computer images and this paper clarifies their implementation. One technique uses nonlinear least squares, the other an extended Kalman filter. Parameter estimation is based on analysing the residual gradient direction where the locus of an approximation to a circle intersects the target circle. This approach allows powerful estimation techniques to be used for feature extraction in computer vision. The least squares technique is based on adapting an earlier method developed for ellipse extraction which has been modified not only for circle estimation but also to reduce sensitivity in par~a~aeter estimation. The Kalman filter algorithm is an extended version arranged to estimate the circle's parameters. Simulation results show that both techniques can extract circles in application but the Kalman filter implementation took more iterations and a number of factors limit its use The least squares technique only is shown applied to grey level images. Both techniques serve to extract circles when an initial approximation to the circle is known and hence are most suited to tracking circles in computer images. The techniques are at present being extended to include data weighting accordfaag to edge magnitude and direction.

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Literature Reviews

Hum¹

2013

Segmentation of Hand Bone for Bone Age Assessment

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Improving an extended version of the Hough transform

Cited by 6 publications

References 13 publications

Automatic urban boundary delineation in equatorial regions using SAR imagery: a comprehensive approach with decomposition, morphology, and statistical active contours

Automatic urban boundary delineation in equatorial regions using SAR imagery: a comprehensive approach with decomposition, morphology, and statistical active contours

Circle extraction via least squares and the Kalman filter

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