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

A non-uniformity correction, image sequence technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as large amount of calculation, inability to guarantee, long time consumption, etc., to improve real-time performance, uniform gray distribution, and clear high degree of effect

Inactive Publication Date: 2013-02-20
苏州有色金属研究院有限公司
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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

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

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Embodiment Construction

[0023] The invention proposes a line scan image non-uniformity correction method based on image sequence correlation analysis, considering the real-time requirements of on-site real-time detection and the strip image can reflect the imaging environment in real time, there is a strong correlation between adjacent or similar image sequences Correlation can use historical data to describe the current imaging environment, reflecting the environmental characteristics and detection object characteristics of the line scan image. Therefore, a practical flat-field correction method for line scan images is designed: set an expected background value, which is the ideal gray value of the image formed by a uniform surface under an ideal situation, and for the vertical direction of the historical image, that is, each column Calculate the average value, calculate the ratio of the average value to the expected background value, and obtain the correction factor on each column of the image, use ...

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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...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 黄秀琴罗新斌贾建昇邢青青王龙郑文胜
Owner 苏州有色金属研究院有限公司
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