Machine vision method for target color recognition adapting to illumination change

Abstract

The invention discloses a target color recognition machine vision method adapting to illumination change, and relates to a machine vision image processing technology of a chemical filling workshop. The identification area is divided into a comparison color card area and a color sampling area, the comparison color card area is divided into a plurality of parts, and a color card for comparison is placed in each part. The color sampling area is an area for collecting colors to be identified. the comparison color card area and the color acquisition area receive the same and uniform external lightsource irradiation. The method is divided into two stages: in a color calibration stage, extracting a color characteristic value of a color card, calculating a color characteristic value of a sample,and correcting the color characteristic; the color identification stage comprises the following steps: placing a sample of which the color needs to be identified in a color sampling area, and calculating a color characteristic value; correcting the color characteristic value; calculating a color characteristic value of the comparison color card; adopting a function to carry out calculation, and carrying out color discrimination. The method can adapt to illumination changes, more colors can be recognized, and similar colors can be distinguished.

Description

technical field [0001] The invention relates to a machine vision image processing technology in the field of electrical automation, in particular to a machine vision method for target color recognition that adapts to illumination changes. Background technique [0002] In the industrial field environment, it is often necessary to distinguish different items and deal with them separately. In some cases, there are only differences in color between items, which can be distinguished by color recognition sensors, which have been widely used in industrial field environments. But it has the following disadvantages: [0003] 1. It is greatly affected by changes in external light. The color recognition sensor receives the reflected light of the target, and compares it with the calibrated spectral wavelength according to its spectral wavelength range, so as to distinguish the color of the target. The spectrum of the reflected light of the target is determined by the ambient light an...

AI Technical Summary

Problems solved by technology

[0004] 2. The number of recognizable colors is limited

When a large number of colors needs to be recognized, the color recognition sensor will not work properly

[0005] 3. It is difficult to distinguish similar colors

When it is necessary to recognize similar colors, or colors of the same color system, the recognition effect is poor, and even cannot be calibrated and worked normally. For example, it is difficult to recognize similar colors such as deep red, bright red and light red.

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