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Gradient Balance Prior for Centrosymmetric Cross-Point Detection and Localization | IEEE Journals & Magazine | IEEE Xplore

Gradient Balance Prior for Centrosymmetric Cross-Point Detection and Localization


Abstract:

We introduce a novel concept termed gradient balance prior to cross-point patterns and prove three related theorems. Using this prior, we develop vanishing power transfor...Show More

Abstract:

We introduce a novel concept termed gradient balance prior to cross-point patterns and prove three related theorems. Using this prior, we develop vanishing power transform to convert gray-scale images into response maps, highlighting every cross-point satisfying centrosymmetry condition as humps. By calculating the hump centers, we can localize cross-points with subpixel accuracy. Our method surpasses existing benchmarks in both detection efficiency and subpixel accuracy, as demonstrated in both simulated and real-world experiments.
Article Sequence Number: 5004612
Date of Publication: 18 December 2023

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