Method for measuring geometric dimension of refractory brick
A technology of geometric dimensions and measurement methods, applied in the direction of measuring devices, image data processing, instruments, etc., can solve problems such as low accuracy of measurement results, impact on steel production, economic losses of factories, etc., to improve method efficiency, good positioning, saved effect
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Embodiment 1
[0052] Such as Figure 1-5 Shown, a kind of refractory brick geometric dimension measuring method comprises the following steps:
[0053] Step 1: Filter and denoise the original refractory brick color image to obtain the denoised image;
[0054] Step 2: Segment the refractory brick area in the denoised image to obtain the refractory brick image;
[0055] Step 3: Carry out morphological processing on the refractory brick image, make the edge of the refractory brick image transition smoothly, and remove the isolated point noise at the edge of the refractory brick image, and obtain the corrected refractory brick image;
[0056] Step 4: Use the Canny operator to perform edge detection on the corrected refractory brick image;
[0057] Step 5: use the Hough transform method and the K-means method to extract the straight line of the refractory brick shape to form the outer contour of the refractory brick, including the following steps:
[0058] Step 5-1: Consider a point (x, y) on...
Embodiment 2
[0089] In this embodiment, the refractory brick surface scratch recognition is carried out on the basis of threshold segmentation of the refractory brick image, and the acquisition of the refractory brick image, filtering and noise reduction processing and segmentation of the refractory brick area are the same as in embodiment 1.
[0090] A method for identifying scratches on the surface of refractory bricks based on frequency domain filtering enhancement, including the following steps:
[0091] Step 1: Filter and denoise the original refractory brick color image collected by the sensor to obtain a denoised image; in the denoised image, segment the refractory brick area to obtain a grayscale image of the refractory brick;
[0092] Step 2: convert the grayscale image of refractory bricks into a color image of refractory bricks, conduct channel decomposition on the color image of refractory bricks, separate the images of R, G, and B channels, and obtain the defect channel image, ...
Embodiment 3
[0128] In this embodiment, the depth defect recognition of refractory bricks is carried out on the basis of threshold segmentation of refractory brick images, and the acquisition of refractory brick images, filtering and noise reduction processing and segmentation of refractory brick regions are the same as in embodiment 1.
[0129] The identification method of depth defect of refractory brick based on height histogram segmentation comprises the following steps:
[0130] Step 1. Filter and denoise the original color image of refractory bricks collected by the sensor to obtain the denoised image; in the denoised image, segment the refractory brick area to obtain the grayscale image of the refractory brick, such as figure 1 shown;
[0131] Step 2. Use the least squares method to perform plane fitting on the point cloud of the refractory brick image to obtain the zero plane, and obtain the size parameters (height and width) of the original refractory brick image, and generate a c...
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