Laser coloring method based on image color recognition and image transformation

A color recognition and image technology, applied in the field of image transformation, laser processing parameters and material color value nonlinear prediction and image color recognition, to simplify the exploration process and solve the problem of recurrence

Pending Publication Date: 2022-02-01
SHANGHAI INST OF OPTICS & FINE MECHANICS CHINESE ACAD OF SCI
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Problems solved by technology

At present, there are many ways to convert bitmaps to vector graphics, but the corresponding software needs to be operated separately, and it is more used in other industries than laser processing industry

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  • Laser coloring method based on image color recognition and image transformation
  • Laser coloring method based on image color recognition and image transformation
  • Laser coloring method based on image color recognition and image transformation

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Embodiment Construction

[0032] The technical solutions in the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, those skilled in the art All other embodiments obtained by the skilled person without creative work belong to the protection scope of the present invention.

[0033] The present invention proposes a laser coloring method based on image color recognition and image conversion. The embodiment device of this method is as follows figure 1 with figure 2 ; This method includes four steps, such as image 3 , respectively to obtain the training data ( Figure 4 ), neural network training ( Figure 5 ) bitmap photo conversion ( Image 6 ), laser coloring ( Figure 7 ).

[0034] Such as figure 1Shown is a schematic diagram of an embodiment of a median image collecti...

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Abstract

A laser coloring method based on image color recognition and transformation comprises the steps that a material laser coloring bitmap photo is obtained through a color camera, the corresponding relation between the color RGB value of each coloring area and laser processing parameters is obtained after computer-based analysis, and a training data set is formed and input into a neural network for nonlinear fitting. The trained neural network can predict laser processing parameters and color RGB (Red, Green and Blue) values. A real pattern is collected by the color camera and processed by an image color recognition and transformation method, and then a laser processing system can be reproduced under the guide of the neural network.

Description

technical field [0001] The invention relates to the technical field of laser processing, in particular to methods for nonlinear prediction of laser processing parameters and material color values, image color recognition, and image conversion. Background technique [0002] In the existing technology, nanosecond laser marking technology has been widely used in the market, which can realize fine engraving of metals, plastics, ceramics, composite materials and other materials. The thermal effect causes the material to be ablated and leave a permanent mark. Compared with traditional mechanical, electrochemical and other material marking methods, it has the advantages of no contact, no pollution, high speed, and high flexibility. [0003] The peak power of nanosecond laser is much lower than that of picosecond laser and femtosecond laser, which is not only a disadvantage in laser processing, but also an advantage in the application of metal coloring technology. Due to the relativ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B23K26/70B23K26/362
CPCB23K26/702B23K26/362
Inventor 赵希明赵全忠王关德钱静
Owner SHANGHAI INST OF OPTICS & FINE MECHANICS CHINESE ACAD OF SCI
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