Automatic multiple circle detection based on artificial immune systems

Cuevas, Erik; Osuna-Enciso, Valentín; Wario, Fernando; Zaldívar, Daniel; Pérez‐Cisneros, Marco

doi:10.1016/j.eswa.2011.07.063

Cited by 39 publications

(14 citation statements)

References 27 publications

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“…Triangle detectors are mainly applied to traffic sign recognition using the Hough transform to detect lines of the triangles [19,24] . Circle detectors [14,15] are used for natural images, medical images and document graphs. Rectangle detectors extract parallel and perpendicular contour segments to find rectangles [25] .…”

Section: Geometric Shape Analysis and Recognitionmentioning

confidence: 99%

Improving retrieval of plane geometry figure with learning to rank

Liu

Liao

et al. 2016

Pattern Recognition Letters

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Section: Geometric Shape Analysis and Recognitionmentioning

confidence: 99%

Improving retrieval of plane geometry figure with learning to rank

Liu

Liao

et al. 2016

Pattern Recognition Letters

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“…Afterwards, numerous specialpurpose detectors have been invented, such as circle and line-segment detectors, which are required in PGF recognition. Other circles detectors [9][10][11] are used for natural images and document graphs. Lamiroy [8] proposed a quick and robust circle detection method especially developed for document graphs.…”

Section: Introductionmentioning

confidence: 99%

Structure analysis for plane geometry figures

Feng

Liu

et al. 2013

SPIE Proceedings

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As there are increasing numbers of digital documents for education purpose, we realize that there is not a retrieval application for mathematic plane geometry images. In this paper, we propose a method for retrieving plane geometry figures (PGFs), which often appear in geometry books and digital documents. First, detecting algorithms are applied to detect common basic geometry shapes from a PGF image. Based on all basic shapes, we analyze the structural relationships between two basic shapes and combine some of them to a compound shape to build the PGF descriptor. Afterwards, we apply matching function to retrieve candidate PGF images with ranking. The great contribution of the paper is that we propose a structure analysis method to better describe the spatial relationships in such image composed of many overlapped shapes. Experimental results demonstrate that our analysis method and shape descriptor can obtain good retrieval results with relatively high effectiveness and efficiency.

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“…Yang et al [12] formulated an arti cial immune multi-objective optimization framework and applied to SAR image segmentation. Erik et al [13] presented a method for automatic multiple circle detection based on arti cial immune systems.…”

Section: Introductionmentioning

confidence: 99%

Application of immune evolutionary algorithm to determine the position and rotation of parallel manipulator

Zhang

Yu²

2012

2012 24th Chinese Control and Decision Conference (CCDC)

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In this paper, we propose an immune evolutionary algorithm (IEA)-based approach to determine the pose of a parallel manipulator from the knowledge of a given set of points in object space. We choose several sets of point in which the configuration and the numbers of point are different. We study the influence generated by the different numbers and configuration of points in object space, and study the performance of the algorithm when an image sequence is used as experiment data sets. Experiment results show that the IEA-based algorithm is free of the configuration of points, and its calculation accuracy will be improved when the number of points increases. It overcomes two problems: "ignore parameter of the geometric constraint" and "need better iteration of the initial value problem". It has fast convergence, high precision and good robustness.

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Automatic multiple circle detection based on artificial immune systems

Cited by 39 publications

References 27 publications

Improving retrieval of plane geometry figure with learning to rank

Improving retrieval of plane geometry figure with learning to rank

Structure analysis for plane geometry figures

Application of immune evolutionary algorithm to determine the position and rotation of parallel manipulator

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