Template matching using a small number of pixels selected by distinctiveness of quantized hue values

Rina Tagami; Sakura Eba; Naoya Nakabayashi; Shuichi Akizuki; Manabu Hashimoto

doi:10.1117/12.2624409

30 April 2022 Template matching using a small number of pixels selected by distinctiveness of quantized hue values

Rina Tagami, Sakura Eba, Naoya Nakabayashi, Shuichi Akizuki, Manabu Hashimoto

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121773A (2022) https://doi.org/10.1117/12.2624409
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

We propose a template matching method using a small number of distinctive pixels selected on the basis of hue values as color information. By analyzing the template image, a distribution of co-occurrence probabilities regarding the hue values of two-pixel pairs is generated. A small number of pixels that have low probability are selected and used for matching. Since such pixels have high distinctiveness, reliable matching can be achieved. The recognition success rate of our method is 97% when 571 pixels are selected, and the processing time is 219 msec.

Citation Download Citation

Rina Tagami, Sakura Eba, Naoya Nakabayashi, Shuichi Akizuki, and Manabu Hashimoto "Template matching using a small number of pixels selected by distinctiveness of quantized hue values", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121773A (30 April 2022); https://doi.org/10.1117/12.2624409

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