Classification and identification method for foggy water surface image and clear water surface image

Abstract

The invention belongs to the field of image identification, and particularly relates to a classification and identification method for a foggy water surface image and a clear water surface image. The method comprises the steps of acquiring water surface images to be identified; establishing a water surface image database; extracting features of the water surface images; training and learning classification and identification features of the fog of the water surface images; and identifying the foggy water surface image to be identified and the clear water surface image to be identified. The method can greatly improve the intelligence of a visual system of a water surface aircraft. The features can be extracted simply, few features for identification are available, and the identification rate is high; and being used for earlier stage processing of the visual system of water surface ship or an unmanned surface vehicle, the method can adaptively judge water surface weather environment, and can effectively improve the performances of post-defogging, and target detection, tracking and identification.

Description

technical field [0001] The invention belongs to the field of image recognition, and in particular relates to a method for classifying and recognizing foggy images and clear images on water surfaces. Background technique [0002] The identification technology of foggy images and clear images on the water surface belongs to the image recognition technology, the purpose is to intelligently identify the current environment of the surface vehicle, judge whether real-time video image defogging processing is needed, and improve the performance of surface vehicles, especially unmanned boats. The intelligence of this highly intelligent device. Our country has a vast sea area, and there are often foggy environments in seas, rivers, rivers and other places, resulting in low visibility and affecting people's vision, which is prone to loss of course and even serious problems such as shipwrecks. At present, many video image defogging technologies have emerged, which can effectively impro...

AI Technical Summary

Problems solved by technology

[0007] (2) Foggy images on the water surface, especially sea fog, tend to have a relatively high concentration, and generally the fog is not uniform, and often appear in foggy or even dense foggy images, where nearby ship targets are large and clear, while distant ones are very blur The phenomenon;

[0008] (3) The background of the water surface image scene is simple, but it is often accompanied by the influence of waves, which is more complex than the land video surveillance background, and the video images collected by the camera on the ship are often in a state of motion and change;

[0009] (4) The details and colors in the sea fog scene are not as rich as in the land scene

[0010] At present, there are not many methods to study the discrimination between foggy images and clear images on the water surface, and there are not many fog classification and recognition methods for land scenes. To identify fog in land scenes, the extracted features are less, and the image sample library used for training and recognition is less; some scholars use the Fourier spectrum of the video background to judge whether it is a foggy background. This method is suitable for video surveillance scenes. However, it is not suitable for scenes such as unmanned boats or surface ships, where the visual system and the target are in relative motion, mainly because the background changes rapidly during relative motion, and it is difficult to extract the background in real time, and the Fourier spectrum in different backgrounds will change. There is a big difference

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