Ship target accurate detection and segmentation method

A target and precise technology, applied in the field of accurate detection and segmentation of ship targets, can solve the problems of interference of detection results, easy to generate false detection, and wrong detection is the same target, etc., to achieve high detection accuracy and improve the effect of robustness
CN109800735AInactive Publication Date: 2019-05-24NAT UNIV OF DEFENSE TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NAT UNIV OF DEFENSE TECH
Publication Date
2019-05-24
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention belongs to the field of machine vision and image processing, and relates to a ship target accurate detection and segmentation method. The method comprises the following steps: (S1) training a deep convolutional neural network model; And (S2) obtaining a to-be-detected and segmented image, inputting the to-be-detected and segmented image into the deep convolutional neural network model in the step (S1), and outputting a ship target result. The method can effectively realize accurate detection and segmentation of the ship target, and has high detection accuracy for dense targets, side-by-side targets and near-shore targets. According to the method, a rotating frame prediction method is adopted, so that a candidate region and a true value frame have a relatively high cross-to-parallel ratio, confidence coefficients, positions and segmentation masks of targets are output in parallel by setting three independent loss layers, network training is carried out through targeted training data amplification, and the robustness of a model is improved.
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Description

Technical field

[0001] The invention belongs to the field of machine vision and image processing, relates to the design and training of a deep learning model, and realizes a method for accurate detection and segmentation of ship targets in a complex background. Background technique

[0002] As a water transport carrier and an important military target, ship targets are of great practical significance for precise detection and segmentation. For example, ship search and rescue, entry and exit ship monitoring, illegal dumping of pollutants from ships, maritime traffic management, all have extremely high requirements for the accurate detection of ship targets. Convolutional neural networks and deep learning technologies continue to improve, especially in complex In the field of target detection and recognition under the background, a large amount of literature and technical experience have been accumulated. Thanks to its powerful feature extraction and learning capabilities, deep co...

Claims

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