Underwater image object detection method

Abstract

The invention discloses an underwater image object detection method, and the method comprises the steps: respectively extracting the color, gray scale and depth information of an underwater image as the input of an underwater image target detection model; respectively calculating the global contrast of the color, gray scale and depth information of each pixel of the underground image in the underwater image target detection model, carrying out the fusion, and generating multi-information fusion global contrast; determining that a point belongs to an image region where the a target is located when the multi-information fusion global contrast of the pixel point is greater than a certain threshold value, so as to discriminate the image region where the target is located, thereby achieving the detection of an underground image target. The method enables the image depth information to the underground image target detection, can solve a bottleneck problem that a target is difficult to detect in underwater high-scattering and strong attenuation environments through the fusion of color and gray scale information, and accurately detects the underwater image target.

Description

technical field [0001] The invention relates to an underwater image target detection method realized by using optical imaging method, specifically a method for realizing underwater image target detection by using multi-information fusion of underwater image color, gray scale and depth information and global contrast, which belongs to image processing technology field. Background technique [0002] The underwater optical environment is relatively complex, and the main problems faced by underwater imaging are: ① attenuation of underwater imaging light, ② scattering of underwater imaging light. On the formed underwater image, it is manifested as: ① color information distortion of underwater image, ② intensity attenuation and non-uniform distribution of underwater image, ③ blurring of underwater image. However, the current image target detection methods are mostly oriented to clear images in the atmospheric environment, and it is difficult to adapt to the characteristics of und...

AI Technical Summary

Problems solved by technology

[0002] The underwater optical environment is relatively complex, and the main problems faced by underwater imaging are: ① attenuation of underwater imaging light, ② scattering of underwater imaging light

The main problems of the above methods are: ①Using the preprocessing method is easy to introduce new noise or cause distortion of underwater images, it is difficult to effectively improve the accuracy of underwater image target detection, and it will cause a significant increase in algorithm complexity

② The underwater target detection algorithm using motion information is only effective for video moving targets, and cannot detect static image targets in a single image

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