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

A feature extraction and image segmentation technology, which is applied in image analysis, image enhancement, image data processing, etc., can solve the problem of inaccurately obtaining the proportion of air holes, etc., so as to liberate the environmental operation of the tail section, extract accurate image features, reduce workload effect

Inactive Publication Date: 2021-08-17
ANHUI UNIVERSITY OF TECHNOLOGY
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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

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

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Embodiment

[0075] Such as figure 1 As shown, in this embodiment, the CCD image acquisition unit is first used to collect the cross-sectional image of the tail of the sintering machine; then the image is processed by the computer, and the cross-section of the tail of the sintering machine is subjected to Gaussian filter denoising, image grayscale processing, and three iterations of RGB color channels. The multi-threshold maximum inter-class variance method is used to process the image. Through image processing and analysis, the sintering machine tail section segmentation processed air hole feature image, the area ratio of air holes and the segmented tail section gray histogram are obtained. The CCD visible light image acquisition unit may be a color CCD visible light camera.

[0076] Taking a certain number of sintering machine in a steel factory as an example, it will be described in detail, combined with figure 1 , the specific process is as follows:

[0077] Step 1. At a distance of ...

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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...

Claims

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Application Information

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IPC IPC(8): G06T7/136G06T7/90G06T7/62
CPCG06T2207/30242G06T7/136G06T7/62G06T7/90
Inventor 龙红明胡鹏张学锋余正伟周志远何木光熊大林代兵季益龙
Owner ANHUI UNIVERSITY OF TECHNOLOGY
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