Metal luster area-based steel wire rope defect detection method
A technology for defect detection and metallic luster, which is applied in image data processing, instruments, character and pattern recognition, etc., can solve the problems of large amount of calculation, high dimension of feature vector, high calculation complexity, etc., achieve fast calculation speed and improve detection The effect of speed and low vector dimension
Pending Publication Date: 2022-02-15
青岛明思为科技有限公司
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Problems solved by technology
The feature extraction methods for steel wire rope surface texture include local binary pattern (LBP), gray level co-occurrence matrix (GLCM) and histogram of oriented gradient (HOG). Large amount, high computational complexity, etc., HOG operator has problems such as high dimensionality of feature vectors
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[0067] figure 1 It is a flowchart of a steel wire rope defect detection method based on the metallic luster region of the present invention.
[0068] In this example, if figure 1 Shown, the present invention a kind of steel wire rope defect detection method based on metallic luster region, comprises the following steps:
[0069] S1, image acquisition;
[0070] S1.1. In order to achieve the goal of utilizing the glossy area on the surface of the steel wire rope, strong white light is required to irradiate the steel wire rope from the same radial direction where the camera is located, to ensure that the surface of the steel wire rope has sufficient reflected light, and then take multiple sets of original images, such as figure 2 As shown in (a), each group of original images contains steel wire rope and background. Under normal circumstances, the captured wire rope image contains unnecessary background parts. Therefore, it is first necessary to extract the wire rope image fro...
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The invention discloses a metal luster area-based steel wire rope defect detection method. The method comprises the following steps of: irradiating a steel wire rope from the same radial direction of a camera by using white strong light, shooting a plurality of groups of original images under the condition of ensuring that the surface of the steel wire rope has sufficient reflected light, and sequentially preprocessing the original images to obtain binary images; then carrying out gloss area edge extraction and morphological processing on the binarized image, so that three-dimensional feature vectors are extracted to form a feature vector set, and finally defect detection is carried out on the steel wire rope to be detected based on the feature vector set.
Description
technical field [0001] The invention belongs to the technical field of non-destructive testing of steel wire ropes, and more specifically relates to a method for detecting steel wire rope defects based on metallic luster regions. Background technique [0002] Steel wire ropes have important applications in industry, such as in elevator transportation, cargo lifting and building fixing. The structural stability of the wire rope greatly affects the safety and reliability of the system. However, steel wire ropes often suffer from various structural damages during use, such as broken wires, wear, and corrosion. Defects on these steel wire ropes will cause the risk of breaking the steel wire rope during use, which may threaten the safety of human life. Therefore, it is necessary to regularly inspect the wire rope and find the defects on it in time. [0003] The human eye observation and identification of defects on the steel wire rope has high randomness and is easily affected...
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Login to View More IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/136G06T7/187G06T7/194G06T5/30G06K9/62G06V10/764
CPCG06T7/0004G06T7/13G06T7/194G06T7/11G06T7/136G06T5/30G06T7/187G06T2207/30136G06F18/2413
Inventor 刘志亮潘斐扬左明健
Owner 青岛明思为科技有限公司