An image processing method for obtaining a relief retro effect suitable for laser engraving
An image processing and laser engraving technology, which is applied in image data processing, image enhancement, image analysis, etc., can solve problems such as unclear outlines, inability to obtain clear relief images, and many noise points
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Embodiment 1
[0084] An image processing method for obtaining an embossed retro effect suitable for laser engraving, comprising: obtaining the effect of strengthening the edge according to the original image P respectively Figure X T and obtain the effect map VO of color and edge balance; then the effect Figure X Multiply T with the effect image V0 to obtain the mixed effect image OS, and then normalize the gray scale of the mixed effect image OS to the range of 0-255 to obtain the final relief retro effect image O.
[0085] Among them, the effect of strengthening the edge is obtained according to the original image P Figure X T is specifically carried out through the following steps:
[0086] S1, the original image P is separated into three independent channel images, and the red channel image A1, the green channel image A2 and the blue channel image A3 are respectively obtained; step S1 can divide the original image P into red channel images A1, A1, and A3 through the opencv function spl...
Embodiment 2
[0139] The method for obtaining the image processing method for embossing retro effects suitable for laser engraving will be further described in conjunction with specific examples.
[0140] by image 3 The color original image shown is the original image P, and the three-channel RGB original image P is divided into red channel image A1, green channel image A2 and blue channel image A3 by using the opencv function split, as shown in Figure 4 , Figure 5 , Image 6 shown.
[0141] S2, convert the original image P into a grayscale image H, such as Figure 7 shown. Normalize the grayscale image H to obtain a normalized image U, such as Figure 8 As shown, and invert the normalized image U to get the inverse image F, such as Figure 9 shown.
[0142] S3, Gaussian filtering is performed on the inverse color image F, and such as Figure 10 The Gaussian-filtered image shown is inverted to obtain an image M, and then the normalized image U obtained in step S2 is divided by th...
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