Hammer identification method and device based on probability program inference

A recognition method and program technology, applied in the field of image recognition, can solve the problem that the effect is not optimal, and achieve the effect of strong robustness, good interpretability, and high data utilization efficiency

Pending Publication Date: 2022-04-01
JIMEI UNIV
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Problems solved by technology

The existing method of hammer detection through image recognition is not optimal

Method used

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  • Hammer identification method and device based on probability program inference
  • Hammer identification method and device based on probability program inference
  • Hammer identification method and device based on probability program inference

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Embodiment Construction

[0035] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0036] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstan...

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Abstract

The embodiment of the invention provides a hammer tool identification method and device based on probability program inference. The method comprises the following steps: S1, for a hammer image, extracting contour data of a hammer by adopting an edge detection method, and converting the contour data into a data point set; s2, corresponding probability programs are designed for a claw hammer, a stone hammer and a bench hammer; and S3, inferring the same hammer image by using a claw hammer probability program, a stone hammer probability program and a bench hammer probability program to obtain a claw hammer candidate shape, a stone hammer candidate shape and a bench hammer candidate shape, and selecting a shape with the maximum similarity from the candidate shapes as a final shape. According to the hammer tool identification method based on probability program inference, the contour of the hammer tool is obtained by using the edge detection method, and identification is performed by using probability program inference, so that noise interference is not easily caused, and the accuracy and credibility of identification can be improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image recognition, and in particular to a hammer recognition method and device based on probabilistic program inference. Background technique [0002] At present, hammer image recognition is mainly used in luggage item security inspection system, hammer production classification system and other fields involving industrial production and public safety. The detection of dangerous goods in the medium (including the detection of sharp hammers) has become one of the necessary safety measures; automation equipment with good performance and high production efficiency is particularly important in industrial production, and different types of hammers can be accurately identified through image recognition. sent to the corresponding production line. The existing methods of hammer detection through image recognition are not optimal. Contents of the invention [0003] Based on this, an embod...

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Application Information

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IPC IPC(8): G06T7/13G06T3/40
Inventor 张宗良王永贤黄兴旺林阳斌浦云明
Owner JIMEI UNIV
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