Harris Corner Detection Algorithm Optimization Based on OTSU

Author(s): Wang Lifang*, Zhao Yanan, Qin Pinle, Gao Yuan.

Journal Name: Recent Advances in Electrical & Electronic Engineering
Formerly Recent Patents on Electrical & Electronic Engineering

Volume 11 , Issue 2 , 2018

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Graphical Abstract:


Background: Harris corner detection extracting corner features based on the characteristic value of the second order matrix, is regarded as one of the most successful algorithms in corner detection.

Methods: OTSU algorithm abbreviation of the maximum variance between clusters can calculate the maximum variance to distinguish the background area and the target area based on the image gray histograms. To obtain the adaptive threshold, Harris needs to artificially select threshold and threshold estimation becomes very difficult.

Results: To solve these problems, OHO algorithm is proposed in this paper which aims to optimize the Harris algorithm based on OTSU. The OHO algorithm combines the characteristics of the high accuracy of Harris algorithm and the adaptive threshold selection of OTSU.

Conclusion: Experiments show that the OHO algorithm can detect more details and authentic corners, and has better adaptability and robustness than traditional Harris.

Keywords: Corner detection, Harris, OSTU, second order matrix, adaptive threshold, OHO.

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Article Details

Year: 2018
Page: [91 - 96]
Pages: 6
DOI: 10.2174/2352096511666180212100932
Price: $25

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