2016
DOI: 10.14257/ijsip.2016.9.3.35
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Harris Scale Invariant Corner Detection Algorithm Based on the Significant Region

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Cited by 12 publications
(9 citation statements)
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“…In 2016, Peng et al present a significant region detection algorithm to improve corner detection performance. Experimental results show that the detection algorithm is more quickly and reasonable [2].…”
Section: A Karim Bdul Amir Amentioning
confidence: 91%
See 1 more Smart Citation
“…In 2016, Peng et al present a significant region detection algorithm to improve corner detection performance. Experimental results show that the detection algorithm is more quickly and reasonable [2].…”
Section: A Karim Bdul Amir Amentioning
confidence: 91%
“…The first one, get the image edge chain code, according to the difference between adjacent code values to determine whether it is a corner, the abuse of method is a large amount of calculation and process unsteadiness. The second one, calculate the curvature and gradient, the most representative algorithms for corner detection are Moravec, Harris, SUSAN [2]. The most popular interest point operators are the Harris corner detector.…”
Section: Introductionmentioning
confidence: 99%
“…Our technique is based on the projective geometric transformation of the image in hyperbolic space after the extraction of the points of interest that will be used for the marking. The identification of the interest points is similar to the principle of Harris [19].…”
Section: Related Workmentioning
confidence: 99%
“…Peng, X. Hongling, L. Wenlin, and S. Wenlong [23] are modifying the traditional Harris corner detection algorithm because it is sensitive to scale and corner detect for complex background object image. Thus, it has counted on the high rate of error.…”
Section: Matching Techniquesmentioning
confidence: 99%