Electric meter box image comparison model based on perspective transformation and local affine matching algorithm

• Main Authors: CHEN MING, WU QINA, QIAN YANRAN, ZHAO ZHUOLIANG, MAO DILIN, CHAO JINGJING, QIU HAIYING, YANG ZHEXUN, HUANG SHIYANG, CAO XIU, WU YUECHEN, ZHAO SHUNLIN
• Format: Patent
• Language: Chinese; English
• Published: 04.10.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; PHYSICS

The invention discloses an electric meter box image comparison model based on perspective transformation and a local affine matching algorithm. The electric meter box image comparison model comprises the following steps: step 1, shooting and obtaining an original image; step 2, extracting components in the meter box picture by using a yolk target detection algorithm in machine learning; step 3, detecting the target in the selected range; step 4, performing perspective transformation on each extracted component, converting a picture view angle of the component into a positive view angle, removing areas which do not need to be matched at the same time, and finally calculating Euclidean distances between different SIFT feature points of the image processed by the above steps according to a self-adaptive local affine matching algorithm; and 5, obtaining a similarity comparison result between the images. According to the invention, through perspective transformation and an adaptive local affine algorithm, factors