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PCB image color migration device and method based on clustering analysis

A cluster analysis, PCB board technology, applied in image analysis, image data processing, instruments, etc., can solve the problem of poor matching effect, achieve the effect of reducing interference, accurate effect, and removing false color

Active Publication Date: 2020-07-31
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Using the traditional color transfer method, the colors of the metal part and the substrate part affect each other at the channel level, the matching effect is not good, and there are many variegated colors

Method used

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  • PCB image color migration device and method based on clustering analysis
  • PCB image color migration device and method based on clustering analysis
  • PCB image color migration device and method based on clustering analysis

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Embodiment Construction

[0033] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0034] The following describes the PCB image color migration device and method based on cluster analysis according to the embodiments of the present invention with reference to the accompanying drawings. First, the PCB image color migration device based on cluster analysis according to the embodiments of the present invention will be described with reference to the accompanying drawings.

[0035] figure 1 It is a structural schematic diagram of a PCB image color migration device based on cluster analysis according to an embodimen...

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Abstract

The invention provides a PCB image color migration device and method based on clustering analysis, and the device comprises an image collection module which obtains a source image and a target image;a RGB color image acquisition module which is used for respectively acquiring RGB color images converted from the source image and the target image; a color space conversion module which converts theRGB color image into an LAB color image; a color clustering module which is used for setting and clustering the LAB color images by utilizing the number of color clusters to generate a color cluster category list; a color cluster matching module which performs PCB bipartite graph matching on the list of the source image and the target image to obtain a matching result; a color mapping module whichcalculates a transformation matrix according to a matching result, and maps the LAB color image to a new color according to the matrix; and a color space inverse transformation module which convertsthe mapped color into an image after RGB color migration. According to the device, colors in an image are divided into different categories by clustering, color migration is carried out on the colorsof the different categories respectively, and a good image registration effect is achieved.

Description

technical field [0001] The invention relates to the technical field of computer software engineering, in particular to a new technology for color migration of different images, that is, a PCB image color migration device and method based on cluster analysis. Background technique [0002] The purpose of color migration is to adjust the color of the source image according to the target image, so that the color of the source image matches the target image as much as possible. The usual color migration algorithm is to determine a linear transformation based on the statistical analysis of the colored image, so that the target image and the original image have the same mean and variance in l, α, β space. The algorithm is based on overall color transfer and does not work well for images with multi-color content. If the color difference of the two images is very large, the l, α, β space color channel will enlarge the chromaticity difference, and the resulting image performance is v...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/33G06T7/90G06K9/62
CPCG06T7/33G06T7/90G06F18/23Y02P90/30
Inventor 罗贵明何悦
Owner TSINGHUA UNIV
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