A light source spectrum optimization method based on cam02-ucs color appearance model

Abstract

The invention provides a light source spectral optimization method based on a CAM02-UCS color appearance model, and the method comprises the following steps of firstly establishing an imaging model, calculating an original pixel value of the image, and detecting the coordinates of pixel points in a target area by using a significance detection method; mapping the detected pixel point set of the target area into a CAM02-UCS color appearance model, establishing a target function of a maximized chromatic aberration, and optimizing the target function with the genetic algorithm to obtain a pixel value of the maximized chromatic aberration; and obtaining the optimal light source spectral power according to the pixel value. The light source spectral optimization method based on the CAM02-UCS color appearance model provided by the invention has the beneficial effects that the technical solution proposed by the invention can intuitively see the effect of light source optimization by optimizinglight source spectrum to change two important visual color factors of chroma and hue, combined with the LED light source spectral model and optimization algorithm, and the intuitive description method of the color gamut model.

Description

technical field [0001] The invention relates to the field of image optimization, in particular to a light source spectrum optimization method based on a CAM02-UCS color appearance model. Background technique [0002] In recent years, with the continuous emergence of low-cost, high-performance, and high-efficiency image processing systems, machine vision inspection has been widely used in product appearance, defect location, and barcode recognition. This is mainly due to the improvement of CCD camera sensitivity, computer CPU speed, and image acquisition card acquisition speed. On the other hand, due to the reduction of software and hardware prices, more and more users, there is a wide understanding of the importance of machine vision lighting systems, and more and more investment in lighting sources, so the research on machine vision lighting systems is also increasing. Go deeper and deeper. The machine vision system uses video cameras, cameras, etc. to collect image signa...

AI Technical Summary

Problems solved by technology

[0007] Due to the high color rendering index required at the same time under different color temperatures, the simulation is quite complicated and difficult, so there are few research reports

Although there are many researches on lighting technology, there are still no satisfactory research results on comprehensive research on light source spectral characteristics, acquisition image quality evaluation technology, and finally establishment and optimization of light source spectrum visual detection lighting model.

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