Proceedings ArticleDOI
Novel 2-D Hough planes for the detection of ellipses
Pui-Kin Ser,Wan-Chi Siu +1 more
- pp 527-530
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TLDR
A new approach of the Hough transform for the detection of ellipses is presented, and significant improvement on the performance of the recognition is achieved.Abstract:
A new approach of the Hough transform for the detection of ellipses is presented in this paper. In our algorithm, the search of a 5-D Hough domain is replaced with four 2-D Hough planes. One of the main differences between our proposed transform and other techniques is the approach to extract feature points in an image for the recognition. For the accumulation process in the Hough domain, an inherent property of our suggested algorithm is its capability to effect verification. Hence, significant improvement on the performance of the recognition is achieved. Furthermore, our proposed algorithm is applicable for the detection of both circular and elliptical objects concurrently. >read more
Citations
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Detecting Ellipses via Bounding Boxes
TL;DR: A novel algorithm for ellipse detection based on bounding boxes is proposed, which utilizes a preprocessed binary image as the input to the algorithm and the search space of parameters is condensed to a small area.
Proceedings ArticleDOI
Consistent symmetric axis method for the robust detection of ellipses
TL;DR: In this paper, a consistent symmetric axis method is proposed that utilizes the information inherent in the symmetric axes throughout the entire process to compute all of the parameters, and convergence of the numerical procedure is assured.
Measuring Fluid Level through a Recalibrating-Free Hough Transform Methodology
Marcelo A. Flores,Cabral Lima,Antonio C. G. Thome,Adriano Joaquim de Oliveira Cruz,Adriana Benevides Soares +4 more
TL;DR: In this paper, a safe recalibrating-free computer-based methodology for measurement of fluid levels, which is based on Hough transform, image processing and normalization, is proposed.
Proceedings ArticleDOI
A dynamic fluid level monitoring application using hough transform and edge enhancement
TL;DR: This paper proposes a new density invariant and non contact approach for level monitoring that is based on image processing Hough transform and image normalization and an experiment was carried out to test the performance of the proposed model.
Journal ArticleDOI
a Scale and Rotation Invariant Fast Image Mining for Shapes
TL;DR: A sample, fast and efficient process through Distance Mapping for CBIR is proposed, which increases the retrieval rate and also the speed of retrieval as no pre-scaling and rotation are required to register the shape.
References
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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
The dynamic generalized Hough transform: its relationship to the probabilistic Hough transforms and an application to the concurrent detection of circles and ellipses
TL;DR: The dynamic generalized Hough transform (DGHT) provides an efficient feedback mechanism linking the accumulated boundary point evidence and the contributing boundary point data and introduces the opportunity for parallel calculation and accumulation of parameters.
Journal ArticleDOI
A method for detection of circular arcs based on the Hough transform
TL;DR: A method for detection of circular arcs is described that is based on the Hough transform that estimates all five arc parameters and is robust in the presence of a moderate amount of noise.
Journal ArticleDOI
Finding ellipses using the generalised Hough transform
TL;DR: Here it is shown that a single plane in parameter space can be employed, with a consequent gain in efficiency, and is especially suitable for ellipses of low eccentricity.
Journal ArticleDOI
A dual plane variation of the Hough transform for detecting non-concentric circles of different radii
TL;DR: A technique has been developed which calculates intersection points of edge gradient vectors storing response weights in one plane and the product of weights and radii in another plane effectively eliminating the radius dimension of the parameter space.