Gray scale correction method of road surface image based on linear array camera

Abstract

The invention discloses a road surface image gray correction method based on a linear array camera. Aiming at the uneven gray level of road surface image caused by the shooting characteristics of linear array camera, the dodging focuses in the horizontal direction, the common thought of global rectification of algorithm at present is improved, the continuous image of a certain road segment taken by a linear array camera at the same time is input as a gray matrix g (x, y), the gray value of each column is taken as the average value vector I (x) of the gray value of the column, and the average value of each element of the gray value vector of the opposite column is subtracted. The result is used as a gray background, the gray background vector is removed from each row of the original gray matrix, and then the gray value correction result is obtained by stretching the gray value vector to [0, 255]. The compensation effect caused by the coexistence of vertical high-gray area and low-gray area can be avoided more effectively by using the method of multi-image column average as background, which makes the image processing result more uniform. Compared with Mask method and Wallis method,the method preserves all the details of the image and is an accurate correction algorithm.

Description

technical field [0001] The invention relates to the technical field of automatic road surface detection, in particular to a method for correcting grayscale of road surface images based on a line array camera. Background technique [0002] With the development of economy and society, the mileage of roads built in our country is increasing, and the inspection and maintenance of road surfaces has become the key work of road management. Pavement cracks are the main manifestation of pavement damage. Accurate identification of cracks can provide a basis for reasonable decision-making of pavement maintenance. The traditional manual visual recognition method has been gradually replaced by automatic detection methods in recent years due to its shortcomings such as low efficiency, long time consumption, and a large amount of manpower. The automatic detection method of pavement cracks is mainly to take road images by industrial cameras, process and identify the images by computer, and...

AI Technical Summary

Problems solved by technology

This feature is reflected in the grayscale image as the uneven grayscale of the image, which often has a huge impact on the further processing and recognition of the image.

It is worth noting that due to the one-dimensional nature of the images collected by the line array camera, the gray level of the obtained road surface image information generally only exists in the lateral direction.

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