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Volume 9
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Article

MIFT: A Moment-Based Local Feature Extraction Algorithm

by
Hua-Zhen Zhang
1,
Dong-Won Kim
2,*,
Tae-Koo Kang
3,* and
Myo-Taeg Lim
1,*
1
School of Electrical Engineering, Korea University, Seoul 02841, Korea
2
Department of Digital Electronics, Inha Technical College, Incheon 22212, Korea
3
Department of Human Intelligence and Robot Engineering, Sangmyung University, Cheonan 31066, Korea
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2019, 9(7), 1503; https://doi.org/10.3390/app9071503
Submission received: 12 February 2019 / Revised: 3 April 2019 / Accepted: 9 April 2019 / Published: 11 April 2019
(This article belongs to the Special Issue Theory and Application of Computational Intelligence and Deep Learning Paradigms in Robotics and Vision System)
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Abstract

We propose a local feature descriptor based on moment. Although conventional scale invariant feature transform (SIFT)-based algorithms generally use difference of Gaussian (DoG) for feature extraction, they remain sensitive to more complicated deformations. To solve this problem, we propose MIFT, an invariant feature transform algorithm based on the modified discrete Gaussian-Hermite moment (MDGHM). Taking advantage of MDGHM’s high performance to represent image information, MIFT uses an MDGHM-based pyramid for feature extraction, which can extract more distinctive extrema than the DoG, and MDGHM-based magnitude and orientation for feature description. We compared the proposed MIFT method performance with current best practice methods for six image deformation types, and confirmed that MIFT matching accuracy was superior of other SIFT-based methods.
Keywords: MDGHM; SIFT; feature extraction MDGHM; SIFT; feature extraction

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MDPI and ACS Style

Zhang, H.-Z.; Kim, D.-W.; Kang, T.-K.; Lim, M.-T. MIFT: A Moment-Based Local Feature Extraction Algorithm. Appl. Sci. 2019, 9, 1503. https://doi.org/10.3390/app9071503

AMA Style

Zhang H-Z, Kim D-W, Kang T-K, Lim M-T. MIFT: A Moment-Based Local Feature Extraction Algorithm. Applied Sciences. 2019; 9(7):1503. https://doi.org/10.3390/app9071503

Chicago/Turabian Style

Zhang, Hua-Zhen, Dong-Won Kim, Tae-Koo Kang, and Myo-Taeg Lim. 2019. "MIFT: A Moment-Based Local Feature Extraction Algorithm" Applied Sciences 9, no. 7: 1503. https://doi.org/10.3390/app9071503

APA Style

Zhang, H.-Z., Kim, D.-W., Kang, T.-K., & Lim, M.-T. (2019). MIFT: A Moment-Based Local Feature Extraction Algorithm. Applied Sciences, 9(7), 1503. https://doi.org/10.3390/app9071503

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