UUV Autonomous Recognition of Underwater Bottom Target Based on Machine Vision
Automatic target recognition of underwater unmanned vehicles(UUV)is a developing trend in the field of underwa-ter target detection in the future.In view of the large amount of manual identification work and difficulty in discriminating the under-water sonar image detection at the present stage,the application of the recognition method based on Canny operator image edge de-tection combined with Hough line transform denoising in the autonomous detection of underwater unmanned vehicles in machine vi-sion is studied.For this purpose,a number of underwater simulation targets are deployed in Lake.This paper attempts the autono-mous target detection scheme of underwater unmanned vehicles,and compares and analyzes the algorithm recognition effect of three kinds of underwater sonar images through the actual lake test,which verifies the effectiveness of the proposed method and provides reference for the subsequent research on autonomous recognition algorithm of unmanned platforms,in order to improve the autono-mous detection and recognition ability of underwater targets of unmanned vehicles.
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