Gangue identification sorting method based on gangue-free image filtering and BLOB analysis

A technology of coal gangue and gangue map, which is applied in the field of coal gangue identification and sorting method, can solve problems such as program jumping out of error, difficulty in extracting edge contour points, and affecting online real-time detection of coal gangue, so as to reduce identification interference and reduce invalid calculations the effect of time

Active Publication Date: 2020-04-21
QINGYUAN POLYTECHNIC
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Problems solved by technology

[0002] In the coal gangue intelligent sorting system, the identification of moving coal and gangue on the conveyor belt is a key technology. The BLOB analysis method based on image threshold segmentation and connected domain marking can solve the problem of difficult extraction of edge contour points in coal gangue detection. It can locate the coal gangue distribution area, but for image processing with

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  • Gangue identification sorting method based on gangue-free image filtering and BLOB analysis

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Embodiment 1

[0021] refer to figure 1 , a coal gangue identification and sorting method based on gangue-free image filtering and BLOB analysis, including the following steps:

[0022] S1, no gangue image filtering

[0023] A visual camera in the dark box is installed on the coal transmission line. When the coal passes through the visual dark box, the industrial camera in the visual dark box collects the coal image, and the collected image is transmitted to the industrial computer through the gigabit network cable by the gigabit network card; The image uses computer software to calculate the third-order moment evaluation of the image to obtain the third-order moment evaluation value of the image, compare the third-order moment evaluation value of the image with the set initial threshold, and judge the current position of the transmission line when the evaluation value is less than the initial threshold The above is non-coal gangue. When the evaluation value is greater than the initial thre...

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Abstract

The invention discloses a gangue identification sorting method based on gangue-free image filtering and BLOB analysis. The method comprises the following steps of performing image acquisition on coal,calculating image three-moment evaluation on a received image by an industrial personal computer through computer software to obtain a three-moment evaluation value of the image, comparing the three-moment evaluation value of the image with a set initial threshold value, performing BLOB analysis on the image, and obtaining coordinates of a point at the upper left corner of the maximum partition and the width and height of distribution; performing three-moment local evaluation on the area range where the partition is positioned, judging whether the current gangue is marked gangue which sends an instruction or not, if yes, not performing processing, and if not, sending a gangue sorting instruction; and picking gangue through a robot. According to the method, full-image analysis can be transited to accurate analysis and judgment of a local attention area, interference of background and stray objects on recognition is reduced, gangue is effectively recognized, and then popularization andapplication are facilitated.

Description

technical field [0001] The invention relates to the technical field of coal gangue, in particular to a coal gangue identification and sorting method based on gangue-free image filtering and BLOB analysis. Background technique [0002] In the coal gangue intelligent sorting system, the identification of moving coal and gangue on the conveyor belt is a key technology. The BLOB analysis method based on image threshold segmentation and connected domain marking can solve the problem of difficult extraction of edge contour points in coal gangue detection. It can locate the coal gangue distribution area, but for image processing with many BLOB partitions, it takes up more memory space and consumes more computing time, and the background of the coal transmission line is more complicated due to pollution. If the image is real-time BLOB analysis not only takes up a lot of computer time, but also may cause the program to jump out and make an error due to excessive memory usage, which a...

Claims

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Application Information

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IPC IPC(8): B07C5/34B07C5/36G06K9/00
CPCB07C5/34B07C5/361B07C5/362B07C2501/0063G06V20/00
Inventor 邹华东李祖明谌俊朱方才袁正辉刘京苑
Owner QINGYUAN POLYTECHNIC
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