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A color detection method of automobile instrument indicator light based on dynamic clustering method

A technology for color detection and automotive instrumentation, applied in the direction of color measurement devices, etc., can solve the problems of low reliability and accuracy of detection results, unreasonable detection algorithms, high false detection rate, etc., to ensure friendliness and robustness, and improve reliability performance and accuracy, and the effect of improving reliability

Active Publication Date: 2016-02-17
HARBIN INST OF TECH
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Problems solved by technology

[0005] The purpose of the present invention is to propose a method for detecting the color of an automotive instrument indicator light based on a dynamic clustering method, so as to solve the problem of high false detection rate, unreasonable detection algorithm, and low reliability of detection results in the existing automotive instrument indicator light color detection method. low accuracy problem

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  • A color detection method of automobile instrument indicator light based on dynamic clustering method
  • A color detection method of automobile instrument indicator light based on dynamic clustering method
  • A color detection method of automobile instrument indicator light based on dynamic clustering method

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specific Embodiment approach 1

[0036] Specific embodiment one: a kind of method for detecting the color of the indicator light of an automobile instrument based on a dynamic clustering method described in this embodiment includes the following steps:

[0037] Step 1. Clustering of indicator light colors. The specific process is as follows:

[0038] Step 11. Select N qualified car indicator lights as the initial samples, use the camera to obtain the image of the indicator light when it is working, and perform color statistical analysis on the indicator light pixels to obtain the RGB value of the indicator light. The value in the color space is converted into the value in the HSL space;

[0039] Step 12. Classify the sample indicator lights by color, specifically: take the H component of the indicator light as the x-axis, and the L component as the y-axis, and use z=(x, y) to represent the color value of the indicator light; according to the color of the indicator light Type Divide the indicator lights into ...

specific Embodiment approach 2

[0054] Specific embodiment two: the difference between this embodiment and specific embodiment one is: the processing method described in step 16 is as follows:

[0055] Compare the final classification of the indicator light sample with the initial classification of the indicator light sample. If they are inconsistent, there is an error in the indicator light sample. Find and print the wrong indicator light sample; if they are consistent, it indicates that the indicator light sample is correct and the classification is reasonable. The information is stored in the database as a clustering standard for detecting the color of the indicator lights. Other steps and parameters are the same as those in Embodiment 1.

specific Embodiment approach 3

[0056] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is: the classification method described in step two or two is as follows:

[0057] Use the camera to obtain the image of the new indicator light R of the instrument, and perform color statistical analysis on the indicator light pixels to obtain the RGB value of the indicator light, convert the value of the indicator light in the RGB color space into the value in the HSL space, and use the indicator light The H component is the x-axis, the L component is the y-axis, use z=(x, y) to represent the color value of the indicator light, and set R at Γ i middle.

[0058] Other steps and parameters are the same as those in Embodiment 1 or Embodiment 2.

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Abstract

The invention belongs to the technical field of detection on automobile meter indicator lamp colors, and provides an automobile meter indicator lamp color detecting method based on a dynamic clustering method. The automobile meter indicator lamp color detecting method based on the dynamic clustering method solves the problems that an existing automobile meter indicator lamp color detecting method is high in false detection rate, not reasonable in detecting algorithm, and low in reliability and accuracy of detecting results. The method includes the two steps of clustering of the indicator lamp colors and detection on the indicator lamp colors. The automobile meter indicator lamp color detecting method based on the dynamic clustering method is applicable to the detection on the automobile meter indicator lamp colors.

Description

technical field [0001] The invention relates to a method for detecting the color of an indicator light of an automobile instrument based on a dynamic clustering method, and belongs to the technical field of color detection of an indicator light of an automobile instrument. Background technique [0002] Automobile meter manufacturers will purchase LED lights of various colors for the display of car meter indicators. In the assembly line production of meters, LED lights may be installed incorrectly due to workers' mistakes. Therefore, in the automatic detection of car meters, LED lights detection is essential. The detection of LED lights needs to detect error conditions such as connected lights, wrong light colors, and wrong light shapes. In these error situations, there is no reasonable and reliable detection algorithm for the detection of wrong light colors. [0003] In the traditional color matching algorithm, the judgment is often made according to the standard color spac...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01J3/46
Inventor 高会军华枭于金泳由嘉
Owner HARBIN INST OF TECH
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