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Sensors 2014, 14(3), 4126-4143; doi:10.3390/s140304126
Article

Contour-Based Corner Detection and Classification by Using Mean Projection Transform

* ,
 and
Received: 10 December 2013; in revised form: 3 February 2014 / Accepted: 12 February 2014 / Published: 28 February 2014
(This article belongs to the Section Physical Sensors)
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Abstract: Image corner detection is a fundamental task in computer vision. Many applications require reliable detectors to accurately detect corner points, commonly achieved by using image contour information. The curvature definition is sensitive to local variation and edge aliasing, and available smoothing methods are not sufficient to address these problems properly. Hence, we propose Mean Projection Transform (MPT) as a corner classifier and parabolic fit approximation to form a robust detector. The first step is to extract corner candidates using MPT based on the integral properties of the local contours in both the horizontal and vertical directions. Then, an approximation of the parabolic fit is calculated to localize the candidate corner points. The proposed method presents fewer false-positive (FP) and false-negative (FN) points compared with recent standard corner detection techniques, especially in comparison with curvature scale space (CSS) methods. Moreover, a new evaluation metric, called accuracy of repeatability (AR), is introduced. AR combines repeatability and the localization error (Le) for finding the probability of correct detection in the target image. The output results exhibit better repeatability, localization, and AR for the detected points compared with the criteria in original and transformed images.
Keywords: corner detection; contour-based corner detector; mean projection transform; polygonal approximation corner detection; contour-based corner detector; mean projection transform; polygonal approximation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Kahaki, S.M.M.; Nordin, M.J.; Ashtari, A.H. Contour-Based Corner Detection and Classification by Using Mean Projection Transform. Sensors 2014, 14, 4126-4143.

AMA Style

Kahaki SMM, Nordin MJ, Ashtari AH. Contour-Based Corner Detection and Classification by Using Mean Projection Transform. Sensors. 2014; 14(3):4126-4143.

Chicago/Turabian Style

Kahaki, Seyed M.M.; Nordin, Md J.; Ashtari, Amir H. 2014. "Contour-Based Corner Detection and Classification by Using Mean Projection Transform." Sensors 14, no. 3: 4126-4143.


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