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 · International Workshop on Advanced Imaging Technology (IWAIT) 2022 · 2022
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.