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Image matching algorithm based on machine vision

An image matching algorithm and machine vision technology, applied in the field of matching algorithms, can solve problems such as no way to match, and achieve good robustness and rapidity, optimized extraction capabilities, and strong feature extraction capabilities

Pending Publication Date: 2022-05-27
国网河北省电力有限公司超高压分公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above image recognition technology can identify each part, but there is no way to match them

Method used

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  • Image matching algorithm based on machine vision
  • Image matching algorithm based on machine vision
  • Image matching algorithm based on machine vision

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Embodiment Construction

[0067] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and in no way limits the application, its application, or uses in any way. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0068] It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly dictates otherwise, the...

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Abstract

The invention relates to an image matching algorithm based on machine vision. The image matching algorithm comprises the following steps: (1) generating adaptability of different scales by adopting an FPN network; (2) cascading each piece of information by adopting RPN (Remote Pseudo Noise); (3) respectively carrying out two times of full connection operation to obtain 2k classification results and 4k prediction results; and (4) finally, carrying out character region positioning by using an algorithm of a mask layer and a bounding box. The method is simple in algorithm, easy to master and correct in matching.

Description

technical field [0001] The invention relates to the technical field of matching algorithms, in particular to an image matching algorithm based on machine vision. Background technique [0002] The development of target detection algorithm of neural network: [0003] In the first stage, the candidate frame is selected based on the original image; in the second stage, the obtained candidate frame needs to be classified and refined, and finally the required target position is obtained. [0004] 1) R-CNN: [0005] [0006] 2) Fast-RCNN [0007] Girshick improved R-CNN and proposed the Fast-RCNN model. The model only performs one convolution calculation on the original image at the beginning, and then chooses to directly map from the candidate region to the feature map, thereby extracting the region of interest (RoI for short), which reduces the time and space efficiency. [0008] (1): Input the picture and use the selective search algorithm to select the corresponding cand...

Claims

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Application Information

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IPC IPC(8): G06V20/62G06V10/25G06V10/52G06V10/26G06V10/75G06V10/82G06N3/04G06N3/08
CPCG06N3/08G06N3/047G06N3/045G06F18/22
Inventor 师元康王会增刘海锋张岩坡张韶光李睿泽王乐孟荣赵智龙尚柳齐肖彬王昭雷袁冰李卓阳
Owner 国网河北省电力有限公司超高压分公司
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