Ore image granularity detection algorithm based on image processing technology

An image processing and detection algorithm technology, applied in image data processing, image enhancement, image analysis, etc., can solve problems such as over-segmentation and under-segmentation, and achieve the effect of reducing failure rate and increasing ore yield

Active Publication Date: 2020-04-21
ANSTEEL GRP MINING CO LTD
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Problems solved by technology

However, the single watershed algorithm is easy to cause over-segmentation and under-segmentation.

Method used

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  • Ore image granularity detection algorithm based on image processing technology
  • Ore image granularity detection algorithm based on image processing technology
  • Ore image granularity detection algorithm based on image processing technology

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Embodiment Construction

[0022] The specific implementation manner of the present invention will be further described below in conjunction with the accompanying drawings.

[0023] Such as figure 1 As shown, the ore image particle size detection algorithm based on image processing technology of the present invention is characterized in that comprising the following steps:

[0024] (1) Use industrial cameras to complete the collection of ore images;

[0025] (2) Preprocess the collected ore image, and then perform image grayscale, median filter denoising and binarization processing in sequence;

[0026] (3) Apply chain code technology to the obtained binarized image to carry out distance transformation and morphological reconstruction;

[0027] (4) An ore image segmentation algorithm combining Canny operator edge detection and region growing based watershed algorithm;

[0028] (5) Analyze and calculate the ore particle size by using the obtained ore parameters and particle size model.

[0029] The c...

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Abstract

The invention belongs to the technical field of ore granularity detection and analysis in mine development, and particularly relates to an ore image granularity detection algorithm based on an image processing technology. The algorithm is characterized by comprising the following steps: (1) completing acquisition of an ore image by using an industrial camera; (2) preprocessing the collected ore image, and sequentially performing image graying, median filtering denoising and binarization processing; (3) performing distance transformation and morphological reconstruction on the obtained binarized image by applying a chain code technology; (4) adopting an ore image segmentation algorithm combining Canny operator edge detection and a watershed algorithm based on region growth; and (5) analyzing and calculating the ore granularity by utilizing the obtained ore parameters and the granularity model. According to the invention, high-precision and high-accuracy granularity detection is obtainedthrough accurate ore image segmentation, the failure rate of the crusher is reduced, and the ore yield is increased.

Description

technical field [0001] The invention belongs to the technical field of ore particle size detection and analysis in mine development, and in particular relates to an ore image particle size detection algorithm based on image processing technology. Background technique [0002] The particle size distribution information of ore is an important data index that can directly reflect the crushing effect of the crusher. High-efficiency and high-precision detection of ore particle size distribution is the basis for optimizing ore crushing. By observing the particle size of ore particles, it is possible to clearly understand the crushing process. The working conditions and parameter information of the crushers at all levels will even directly affect the ore yield in the mine development process. At present, the detection of ore particle size information based on computer vision and image processing technology has been widely used in the mine development process, so as to obtain the pa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/62G06T5/00
CPCG06T7/0004G06T7/11G06T7/13G06T7/62G06T5/002G06T2207/10004G06T2207/20032G06T2207/30132
Inventor 马连成张勇段金利祝焕威马振王玉昆孙福畅
Owner ANSTEEL GRP MINING CO LTD
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