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Light-weight residual U-net-based reflected light ferrographic image segmentation method

An image segmentation, lightweight technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problem of difficult segmentation, and achieve the effect of saving labor and time, simplifying software and hardware, and high segmentation accuracy

Pending Publication Date: 2021-05-07
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Segmentation of abrasive grains from background regions presents great difficulty

Method used

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  • Light-weight residual U-net-based reflected light ferrographic image segmentation method
  • Light-weight residual U-net-based reflected light ferrographic image segmentation method
  • Light-weight residual U-net-based reflected light ferrographic image segmentation method

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Embodiment Construction

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045] This embodiment provides a method for segmenting reflected light ferrography images based on lightweight residual U-net, figure 1 It is the implementation flowchart of the method of the present invention, and in a preferred embodiment, comprises the following steps:

[0046] S1. Integrate the deep residual network and U-net to construct a lightweight residual U-net.

[0047] The lightweight residual U-net structure diagram is as follows figure 2As sh...

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Abstract

The invention relates to the technical field of ferrographic image segmentation, in particular to a light-weight residual U-net-based reflected light ferrographic image segmentation method, which comprises the following steps of: fusing a deep residual network and U-net to construct a light-weight residual U-net; collecting ferrographic images, and screening the collected ferrographic images; marking the reflected light ferrographic image by adopting an automatic marking method to obtain a training data set of lightweight residual U-net; training the lightweight residual error U-net by using the training data set to obtain a trained lightweight residual error U-net; and segmenting any reflected light ferrographic image by using the trained network. The trained network can realize accurate segmentation of the reflected light ferrographic image, and has good anti-interference performance at the same time. According to the method, the problem of reflected light ferrography image segmentation under the conditions of bubble interference and uneven illumination is solved, and abrasive particles with complex surface color features can also be accurately segmented.

Description

technical field [0001] The invention relates to the technical field of ferrographic image segmentation, in particular to a method for segmenting reflected light ferrographic images based on lightweight residual U-net. Background technique [0002] In modern industrial production, it is necessary to detect and maintain the operating status of mechanical equipment to ensure the reliability of mechanical equipment. Commonly used diagnosis and detection technologies include vibration analysis, oil detection, infrared imaging, acoustic emission measurement, etc. In oil detection, the prediction and diagnosis of mechanical failures are carried out by analyzing the state changes of lubricating oil in mechanical equipment. Ferrography analysis technology is a new wear detection and fault diagnosis technology in oil detection. It extracts the morphological characteristics of wear particles to characterize the wear state of machinery. Through oil monitoring, the running state trend of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/10G06T7/136
CPCG06T7/0004G06T7/10G06T7/136G06T2207/10004G06T2207/20081G06T2207/20084Y02T10/40
Inventor 萧红曾庆航冯松文扬帆罗久飞
Owner CHONGQING UNIV OF POSTS & TELECOMM
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