110
4 Image Theory of RFID System Physical Anti-Collision
algorithm has high matching accuracy and real-time performance, and it provides an
effective method for RFID multi-tag real-time fast matching.
4.1.1 Algorithm Design
(1) Algorithm flowchart
The image matching process of the improved algorithm proposed in this paper is
shown in Fig. 4.1. It is mainly divided into four stages: reading the picture and graying,
corner detection by minimum eigenvalue algorithm, calculation of description vector
by HOG algorithm, and creation of matching pairs.
(2) Algorithm principle
After reading the picture and graying it, the algorithm first creates a
n × n window,
quotes the first-order partial derivative, and then calculates the gray change in the
window before and after the sliding when the local small window of the image is
moved. The description is as Eq. (4.1):
Fig. 4.1 Algorithm flow chart
4 Image Theory of RFID System Physical Anti-Collision
algorithm has high matching accuracy and real-time performance, and it provides an
effective method for RFID multi-tag real-time fast matching.
4.1.1 Algorithm Design
(1) Algorithm flowchart
The image matching process of the improved algorithm proposed in this paper is
shown in Fig. 4.1. It is mainly divided into four stages: reading the picture and graying,
corner detection by minimum eigenvalue algorithm, calculation of description vector
by HOG algorithm, and creation of matching pairs.
(2) Algorithm principle
After reading the picture and graying it, the algorithm first creates a
n × n window,
quotes the first-order partial derivative, and then calculates the gray change in the
window before and after the sliding when the local small window of the image is
moved. The description is as Eq. (4.1):
Fig. 4.1 Algorithm flow chart