Image segmentation method for tail section pore feature extraction of sintering machine

Abstract

The invention discloses an image segmentation method for tail section pore feature extraction of a sintering machine, and belongs to the technical field of sintering production. A CCD image acquisition unit is used for performing image acquisition on the tail section of the sintering machine; and the acquired image is sent to a computer image processing unit, the image is processed by adopting image gray processing and a multi-threshold maximum between-class variance method of a three-time iteration RGB color channel, and the pore characteristics of the tail section are segmented from the image. According to the characteristics of the section of the tail of the sintering machine, the pore characteristics of the section of the tail of the sintering machine are extracted to the greatest extent by performing gray processing on the acquired image and performing multi-threshold maximum between-class variance method of the RGB color channel iteration for three times, so that the pore proportion in the image can be conveniently counted; and therefore, an operator can accurately judge the FeO content in sintered ore.

Description

technical field [0001] The invention relates to the technical field of sintering production, and more specifically relates to an image segmentation method for extracting air hole features of a tail section of a sintering machine. Background technique [0002] At present, the sintering process at home and abroad mainly relies on the proportion of pores in the tail section of the sintering to judge the FeO content online, so as to judge the FeO content of the sinter. Due to the harsh environment at the tail of the sintering machine, the characteristics of pores are not obvious, and the experience of sintering pyrotechnics varies from person to person. There is a large deviation in the judgment of FeO content. Even if some sintering plants have installed industrial television systems on the tail section, they cannot provide real-time, clear and complete images of the air hole characteristics of the tail section to the sintering workers, and the effect is still not ideal. [0...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the problem in the prior art that the sintering machine tail section image processing cannot accurately obtain the proportion of pores; it provides an image segmentation method for extracting the pore characteristics of the sintering machine tail section. The characteristics of the tail section, through the grayscale processing of the collected images and the multi-threshold maximum inter-class variance method of three iterations of the RGB color channel, the stomatal features of the tail section of the sintering machine are extracted to the greatest extent, so that it is convenient for the statistical image. Pore ​​ratio, which is helpful for operators to accurately judge the FeO content in sinter

Images