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Adaptive Harris Corner Detection Algorithm Based on Modified Detector

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Frontier Computing (FC 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 542))

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Abstract

Harris corner detection algorithm had good result and it was widely used, but it had some shortcomings, such as threshold setting. In order to solve the problem, an adaptive threshold Harris corner detection algorithm based on modified response function was proposed. On the basis of analyzing the Harris algorithm and its implementation process, a response function based on division operation was brought out to avoid setting a coefficient. According to the maximum of the response function, the threshold value was automatically set, and the adaptive corner setting was realized. The experiment results showed that the improved algorithm could not only avoid setting coefficient and threshold, but also greatly improve the detection efficiency and reduce the false rate of corner detection.

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Acknowledgements

The authors acknowledge the Project of Shandong Province Higher Educational Science and Technology Program (Grant: J16LB69), and the Project of Linyi University Doctor Scientific Research Staring Foundation Program (Grant: LYDX2016BS081), People’s Republic of China.

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Correspondence to Peijiang Chen .

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Chen, P., Wu, L. (2019). Adaptive Harris Corner Detection Algorithm Based on Modified Detector. In: Hung, J., Yen, N., Hui, L. (eds) Frontier Computing. FC 2018. Lecture Notes in Electrical Engineering, vol 542. Springer, Singapore. https://doi.org/10.1007/978-981-13-3648-5_117

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