A Target Detection and Recognition Method for Panoramic Water Surface Image

Abstract

The invention discloses a target detection and recognition method of a water surface panorama image, belonging to the technical field of computer vision recognition. The method of the present invention first uses the target detection and recognition neural network model to perform target detection and recognition on the panoramic image, and obtains the target category and the initial position of the detection frame; then performs image segmentation on the target local area to obtain multiple super-pixel blocks, and then adopts a multi-threshold fusion strategy Merge the superpixel blocks to obtain the adjusted target detection frame; then calculate the edge map of the new target local area, according to the target detection frame box * Distribution adjustment box of surrounding edge points * , to get the final target detection box box * ; Finally, from the mapping relationship between the panoramic image imaging plane coordinate system and the world coordinate system, the final target detection frame box * The location translates to the actual location of the target. The method of the invention can effectively overcome the distortion effect in the panoramic image, and accurately identify the target position from the panoramic image.

Description

technical field [0001] The invention belongs to the technical field of computer vision recognition, and more particularly relates to a method for detecting and recognizing a water surface panoramic image target. Background technique [0002] With the proposal of the ocean power strategy, my country has begun to vigorously develop marine equipment. As an unmanned surface mobile platform, unmanned boats can not only enter some harsh environments to complete tasks, but also improve the efficiency of tasks that require long-term operations. They play a very important role in many practical applications, such as Customs patrols, shallow sea mine clearance and water quality monitoring, etc. For unmanned boats, environmental perception technology is an indispensable part of autonomous navigation and autonomous obstacle avoidance. In particular, in the process of actual operation, it is far from enough to only be able to detect targets or obstacles in the direction of advancement,...

AI Technical Summary

Problems solved by technology

This solves the technical problem that the panoramic image target recognition in the prior art cannot solve the influence of image distortion

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