Method for automatically extracting reinforcing steel bar processing information based on digital image processing

Abstract

The invention discloses a method for automatically extracting reinforcing steel bar processing information based on digital image processing, and relates to the technical field of image processing. The method comprises the following steps: inputting a reinforcing steel bar sample drawing, and preprocessing to obtain a reinforcing steel bar shape image and a digital annotation image; constructing an ordered set represented by feature points through the steel bar shape image; sequentially selecting three adjacent points to construct a vector by using the ordered set, and obtaining a vector included angle set; after processing operation, obtaining a second vector included angle set; based on the digital annotation image, constructing a mapping relation between line segments and digital areas; determining the feature points of the ordered set are selected in sequence, corresponding digital areas, recognizing length labeling information of the digital areas, and outputting an ordered length set; and crossing and combining the length set and the second vector included angle set in sequence to obtain a final reinforcement sample image recognition result. According to the invention, high automation of steel bar processing information extraction is realized, the extraction efficiency and precision can be effectively improved, and the labor intensity of workers is reduced.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for automatically extracting steel bar processing information based on digital image processing. Background technique [0002] With the advancement of informatization and intelligence in the construction industry, promoting the lean and efficient application of building materials through information technology has become a major development direction for the modernization, transformation and upgrading of the construction industry and the improvement of quality and efficiency. As one of the most important building materials in civil engineering, steel bars account for more than 30% of the cost. Improving the intelligence level of steel bar engineering is of great significance to the advancement of intelligent construction industry. [0003] At present, my country's steel bar processing is mainly manual processing. Even the most advanced semi-automatic CNC process...

AI Technical Summary

Problems solved by technology

[0003] At present, my country's steel bar processing is mainly manual processing. Even the most advanced semi-automatic CNC processing equipment still needs to manually extract the steel bar processing information from the large sample map of the steel bar. disadvantages, resulting in slow construction progress and delays in the construction period

The main reason for manual participation is that the steel bar processing information exists in the form of a large sample map of the steel bar, but the equipment cannot directly recognize the large sample map of the steel bar to extract the processing information of the steel bar

Therefore, realizing the automatic extraction of steel bar processing information will be one of the key factors to speed up the construction progress and promote the intelligent development of steel bar engineering. Phenomena such as high manual work intensity are problems that need to be solved urgently by those skilled in the art

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