Dynamic non-uniformity correction method for linear scanned image based on image sequence analysis

Abstract

The invention provides a dynamic non-uniformity correction method for a linear scanned image based on image sequence analysis. The dynamic non-uniformity correction method comprises the following steps: firstly, selecting k (k is equal to 1, 2,..., and belongs to Z) images for the existing image to be corrected, and setting an ideal desired value q; then, calculating the average value of pixel values on each row of the k images to acquire a mean vector; and finally, using a ratio of the mean vector to the set ideal desired value as a correction coefficient to correct the images, so that a novel image which is uniform in background, clear in defect contour and convenient to position a subsequent defect target is acquired. The method can effectively overcome influences of changes of such factors as parameters including material specification, thickness and the like of the detected object, detection angle, plate type consistency and light source illumination attenuation, so as to dynamically acquire in real time an ideal image which is uniform in grey distribution, high in definition and remarkably enhanced in the detected object, thus greatly simplifying subsequent image processing difficulty and effectively improving the real-time performance of the integral system.

Description

technical field [0001] The invention relates to a method for correcting non-uniformity of line-scanned images on the surface of highly reflective materials, in particular to a method for correcting dynamic non-uniformity of line-scanned images based on image sequence analysis, which is applied to visual intelligence of line-scanned surfaces in industries such as metallurgy, papermaking, and textiles Testing belongs to the field of advanced manufacturing technology and equipment technology. Background technique [0002] In the field of non-ferrous processing or steel processing, the quality requirements for metal surfaces are getting higher and higher. In the surface quality inspection of metal sheets and strips, machine vision inspection technology is replacing traditional manual inspections and has become a must for the production of high-precision strips. Quality testing equipment. The image quality is a crucial factor for the detection effect of strip surface defects, wh...

AI Technical Summary

Problems solved by technology

However, this assumption is generally not guaranteed in practical applications, because the external light source environment on site is changeable.

Adaptive correction methods are currently mainly used in infrared focal plane array non-uniformity correction, such as scene-based, neural network-based, etc. These methods are computationally intensive and time-consuming, and are not suitable for high-speed online real-time detection systems

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