A method and device for fully automatic equal-area integration of sheet objects of arbitrary shape based on machine vision
A technology of machine vision and flakes, applied in metal processing, etc., can solve problems such as inapplicability, and achieve the effect of strong self-adaptability, obvious advantages, and wide application prospects
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Embodiment 1
[0038] Embodiment 1 A fully automatic equal-area block dividing device for irregular sheets based on machine vision
[0039] like figure 1 As shown, the automatic equal-area dividing block device for irregular flakes consists of the following three sub-devices:
[0040] Sub-device 1. Light source: used to increase the gray value difference between the irregular sheet to be segmented and the background in the image;
[0041] Sub-device 2. Industrial camera: used to collect the original image of irregular sheet;
[0042] Sub-device 3. Computer: used to install the block software written according to the automatic equal-area block method of irregular sheets;
[0043] Sub-device 4. Tool system: the control module is used to control the movement of the tool according to the divided cutting path, and the tool module is used to complete the cutting of irregular sheets.
Embodiment 2
[0044] Embodiment 2 Based on machine vision, a method for fully automatic equal-area integration of sheets of arbitrary shape
[0045] like figure 2 As shown, the specific steps are as follows:
[0046] Step (1) Set the light source according to the actual situation, and collect the original image of the sheet product through an industrial CCD or CMOS camera;
[0047] Step (2) Image preprocessing: first, separate the color components of the RGB channel of the image, generate a suitable single-channel color component image according to the different processing objects, and then filter out the noise existing in the image through wavelet denoising, and finally through the global automatic Adapt to binarization to convert the grayscale image into a binary image, and complete the segmentation of irregular flakes and background in the image;
[0048] Step (3) completes the segmentation of the image, and obtains the segmentation path of the irregular sheet-like object, as follows: ...
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