Metal identification method based on information entropy

Abstract

The invention discloses a metal identification method based on information entropy and belongs to the image identification technology field. The method is characterized by firstly, carrying out multistage wavelet transformation on a sample image; then, using a K mean value algorithm to carry out identification for one time; for a sample which is not identified, analyzing a transformed multistage wavelet transformation entropy value; and using a decision tree algorithm to carry out the identification for the second time. In the method, through multilevel identification, an identification speed is increased and simultaneously algorithmic accuracy is guaranteed. An algorithm speed is fast, an accuracy degree is high, identification efficiency is high too and a real-time performance requirement can be satisfied. The method supports parallel processing. Equipment needed during identification is simple and environmental-protection. The method has wide applicability. The method is suitable for identification of copper, aluminum alloy and stainless. Under the condition that there are sufficient samples, because hardness and colors of different metal and alloy are different to some extent, the method can be used for distinguishing various kinds of non-ferrous metal.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and specifically refers to a fast metal recognition method based on information entropy, which is suitable for the recognition of metal sorting pipelines. technical background [0002] With the development of the economy, the Chinese market has become increasingly dissatisfied with the output and high energy consumption of primary metals. At the same time, recycled metals have received more and more attention. In recent years, the amount of scrap metal in my country has become increasingly large, and the demand for recycling non-ferrous metals has grown rapidly, and the recycling and dismantling industry will also usher in a period of rapid development. Taking automobiles, which are the main recycling objects of non-ferrous metals, as an example, standardizing the development of scrapped car recycling and dismantling industry is crucial to the development of my country's auto industry a...

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Problems solved by technology

Taking automobiles, which are the main recycling objects of non-ferrous metals, as an example, standardizing the development of scrapped automobile recycling and dismantling industry is crucial to the development of my country's automobile industry and circular economy, but the current domestic recycling rate of scrapped automobiles is less than 20%

This method has the following problems: (1) toxic gas is easy to escape and volatilize, and some metals are melted in the slag to cause losses; (2) a large amount of non-metallic components such as plastics cannot be recovered

[0011] It can be seen from the above technologies that traditional hydrometallurgy and pyroprocessing have great damage to the environment, and their efficiency is low, which cannot meet the real-time requirements of assembly line operations.

The sorting effect of eddy current is affected by the size and type of metal objects. The strength of eddy current magnetic field is difficult to adjust in time according to the metal fragments on the fast-moving production line. It is generally only used to generally distinguish plastics and non-ferrous metals.

Coupled with the huge energy consumption and noise caused by the magnetic field, the eddy current screening method is not suitable for the recycling of scrap metal in the new era

The use of flotation agents also consumes resources, and the real-time requirements are difficult to meet

In X-ray identification, the commonly used portable X-ray machines and security inspection channels cannot meet the real-time and accuracy requirements respectively, and cannot be applied on conveyor belts with high processing speed requirements.

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