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5 Optimization Algorithm and RFID System Physical Anti-Collision
Fig. 5.27 Denoising effects
of different scenes. a scene
1. b scene 2
image as the matching template (assuming its size is m × n pixels). Then, we select
a target point in the target image. With the target point as the center, m×n pixels
gray array is selected as the target matching area. After that, all m × n pixel grayscale arrays in the target image are taken out sequentially. The correlation coefficient
between the matching area and the template is calculated one by one. The similarity
of matching area is determined by the correlation coefficient. When the correlation
coefficient is max, the matching area is the matching region.
As shown in Fig. 5.28, by template matching, a matching region can be found in
the image.
5 Optimization Algorithm and RFID System Physical Anti-Collision
Fig. 5.27 Denoising effects
of different scenes. a scene
1. b scene 2
image as the matching template (assuming its size is m × n pixels). Then, we select
a target point in the target image. With the target point as the center, m×n pixels
gray array is selected as the target matching area. After that, all m × n pixel grayscale arrays in the target image are taken out sequentially. The correlation coefficient
between the matching area and the template is calculated one by one. The similarity
of matching area is determined by the correlation coefficient. When the correlation
coefficient is max, the matching area is the matching region.
As shown in Fig. 5.28, by template matching, a matching region can be found in
the image.