Method for acquiring shadeless target image

Abstract

The invention discloses a method for removing a shadow of a specific target image. Aiming at an object with known dimensions, the method comprises the following steps: figuring out a solar azimuth angle based on a geographical position of the object and current time, acquiring a projective direction of the object, combining a shooting direction of a camera to determine a relative positional relationship between the object and its shadow in an image, reserving target image pixels which correspond to the object in the image, and removing shadow image pixels which correspond to the shadow, thereby obtaining a shadow-removed image. The method of the invention has the benefits that: the arithmetic is simple; an image formed by the shadow of a specific target in a picture can be removed quickly and effectively, therefore, a detecting system can not be affected by the shadow in detecting the target; and the method of the invention is further suitable for engineering real time application.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a shadow removal method for a specific target image in computer vision-based monitoring. Background technique [0002] Computer vision technology has been widely used in various fields, such as hotels, banks, traffic scenes and military fields. However, in the actual application process, it is found that the detection system will be affected by the shadow when detecting the target, so it is necessary to take an effective method to remove the shadow of the target in the image to provide conditions for the correct recognition of the target. At present, there are many methods for removing shadows in images, such as color-based shadow removal methods, cross-correlation-based shadow removal methods, and edge-based shadow removal methods. These methods have their own advantages and disadvantages and applicable occasions. Generally, the above The method is not suitable for real-time app...

AI Technical Summary

Problems solved by technology

However, in the actual application process, it is found that the detection system will be affected by the shadow when detecting the target, so it is necessary to take an effective method to remove the shadow of the target in the image and provide conditions for the correct recognition of the target

At present, there are many methods for removing shadows in images, such as color-based shadow removal methods, cross-correlation-based shadow removal methods, and edge-based shadow removal methods. These methods have their own advantages and disadvantages and applicable occasions. Generally, the above The method is not suitable for real-time application in engineering because of its large amount of calculation

When deshading a specific target with a known size in engineering applications, if the above method is still used, not only the calculation workload is large, but also the calculation steps are cumbersome

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