Surface crack detection method based on image processing

Surface crack detection method based on image processing

The invention discloses a surface crack detection method based on image processing. The surface crack detection method comprises the following steps: 1, carrying out image acquisition on a crack surface by using acquisition equipment; 2, carrying out preprocessing of gray level transformation, image...

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Hauptverfasser: WAN DAHANG, LU RONGSHENG, WANG SAILEI
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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creator WAN DAHANG
LU RONGSHENG
WANG SAILEI
description The invention discloses a surface crack detection method based on image processing. The surface crack detection method comprises the following steps: 1, carrying out image acquisition on a crack surface by using acquisition equipment; 2, carrying out preprocessing of gray level transformation, image filtering and image enhancement on the acquired image; 3, performing image segmentation on the preprocessed image to preliminarily obtain a crack segmentation image; 4, performing binary image processing on the segmented image, and removing noise to obtain a fine segmented image; 5, skeletonizing the crack area, and calculating crack length information by using pixel statistics; and calculating the maximum width and the average width of the crack by using an orthogonal skeleton line method. According to the method, the recognition precision of the complex crack can be improved, so that the surface damage degree can be accurately evaluated. 本发明公开了一种基于图像处理的表面裂缝检测方法，包括：1、在存在裂缝的表面使用采集设备进行图像采集；2、对采集图像进行灰度变换、图像滤波、图像增强的预
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The surface crack detection method comprises the following steps: 1, carrying out image acquisition on a crack surface by using acquisition equipment; 2, carrying out preprocessing of gray level transformation, image filtering and image enhancement on the acquired image; 3, performing image segmentation on the preprocessed image to preliminarily obtain a crack segmentation image; 4, performing binary image processing on the segmented image, and removing noise to obtain a fine segmented image; 5, skeletonizing the crack area, and calculating crack length information by using pixel statistics; and calculating the maximum width and the average width of the crack by using an orthogonal skeleton line method. 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subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Surface crack detection method based on image processing
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