A Method for Automatically Identifying the Trend and Width of Cracks on Object Surface
An object surface, automatic identification technology, applied in the field of image processing, can solve the problems of time-consuming, semi-automatic identification method measurement efficiency is not significantly improved, etc., to improve the calculation speed, reduce the number, and smooth the edge curve.
Active Publication Date: 2018-10-19
BEIJING ZBL SCI & TECH
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Problems solved by technology
In order to ensure the accuracy of the measurement, it is usually necessary to repeatedly adjust the direction of the crack in the image, which is a time-consuming process
Therefore, the measurement efficiency of the semi-automatic identification method is not significantly improved compared with the manual visual inspection method.
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[0041] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0042] The present invention proposes a method for automatically identifying the direction and width of cracks on the surface of an object. The flow chart is as follows Figure 1~4 As shown, the method includes the following steps:
[0043] Step 1: Grayscale, binarize, and filter the image, and then perform Canny edge detection to obtain an image of crack edge pixels.
[0044] Binarization processing adopts a histogram-based global image binarization method, including the following steps:
[0045] Step 1.1, calculate the histogram according to the gray value obtained after image grayscale processing.
[0046] Step 1.2, if the histogram is a bimodal histogram, take the valley value between the two peaks as the threshold; if the histogram is not a bimodal histogram, then smooth the histogram data, the method is as follows:
[0047] Calculate the averag...
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The invention relates to a method for automatically identifying the trend and the width of a fracture in an object surface. The method includes the following steps of: performing gray processing, binarization processing and filtering processing on an image, then performing Canny edge detection on the image to obtain an image of fracture edge pixel points; extracting two curves of a fracture edge and determining the trend of the fracture; and performing filtering processing on the two curves and calculating the width of the fracture. According to the method, the curves of the fracture edge in the object surface can be extracted by adoption of an image processing technology, the maximum width of the fracture can be calculated without manual adjustment of the trend of the fracture in the image, and the trend of the fracture can be automatically identified. The pixel points of the fracture edge can be reserved to the greatest extent through image processing by adoption of an image global binarization method based on a histogram, and the measurement accuracy can be improved; filtering processing is performed on the two curves of the fracture edge before calculation of the width of the fracture, the number of points in the curves is reduced, and the calculation speed of the width of the fracture can be improved.
Description
technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for automatically identifying the direction and width of cracks on an object surface by using image processing technology. Background technique [0002] At present, the methods of using image processing technology to identify the width of cracks on the surface of objects mainly include the following: [0003] Manual visual inspection method: Use a high-precision camera to obtain crack images, and use the scale on the screen to judge the crack width visually. It usually takes dozens of seconds or even a few minutes to judge the width of a crack by manual visual inspection, and the subjectivity of personnel is high, and the results of different people's judgments are different. The measurement accuracy is low and cannot be achieved at the pixel level. [0004] Semi-automatic identification method: use computer image processing technology to automatically deter...
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IPC IPC(8): G06T7/00G06T7/44G01N21/88
CPCG01N21/8851G01N2021/8874G01N2021/8887G06T7/0004G06T2207/30108
Inventor 汤安平
Owner BEIJING ZBL SCI & TECH