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A method of underwater target recognition based on optical vision

An underwater target and identification method technology, applied in the field of marine engineering, can solve problems such as large influence of underwater imaging and serious image distortion, achieve overall quality assurance, solve the effect of large amount of calculation, and improve integrity

Active Publication Date: 2020-11-24
JIANGSU UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In actual situations, the underwater image target to be recognized is always in a complex environment, the image is seriously distorted, and the underwater imaging is greatly affected by the lighting environment

Method used

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  • A method of underwater target recognition based on optical vision
  • A method of underwater target recognition based on optical vision
  • A method of underwater target recognition based on optical vision

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Embodiment Construction

[0039] The technical solutions of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the embodiments.

[0040] Such as figure 1 and figure 2 Shown, a kind of underwater target recognition method based on light vision of the present invention comprises the following steps:

[0041] (1) Acquire underwater images, and collect images of underwater targets under natural light and artificial light environments respectively through the underwater image acquisition system;

[0042] (2) Image preprocessing, that is, image enhancement, noise location, denoising and color cast correction are sequentially performed on the collected underwater images;

[0043] (3) Target feature extraction: sequentially extract the shape features, color features and texture features of the target;

[0044] (4) Target training and recognition. The shape feature matrix, color feature matrix and texture feature matrix obtained in st...

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PUM

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Abstract

The invention discloses an underwater target recognition method based on light vision, which comprises the following steps: collecting underwater target object images under natural light and artificial light source environments respectively through an underwater image collection system; Enhancement, noise location, denoising and color shift correction; sequentially extract the shape feature, color feature and texture feature of the target; the obtained shape feature matrix, color feature matrix and texture feature matrix form a training sample set, and then carry out target training, and the natural The test samples under the illumination and artificial light are classified, and the classification results are output. The invention can reliably identify underwater targets.

Description

technical field [0001] The invention belongs to the field of marine engineering, and in particular relates to an underwater target recognition method based on light vision. Background technique [0002] Underwater target recognition technology is an important part of underwater engineering. In the process of military industry development and civilian development and utilization of underwater resources, underwater target recognition technology is an indispensable part. [0003] In the military, underwater target recognition technology can be used for reconnaissance, mine laying, mine elimination and submarine rescue, etc.; in the civilian field, it can be used for data collection, submarine head detection, submarine survey, pipeline laying, maintenance and repair of underwater equipment, etc. . At present, underwater vision has been widely used in many important fields. Underwater robots are often used as the carrier of underwater target extraction. The visual work ability o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/62G06T5/00G06T5/30G06T7/11G06T7/155G06T7/40G06T7/90
CPCG06T5/002G06T5/30G06T7/11G06T7/155G06T7/40G06T7/90G06T2207/20032G06V10/44G06V2201/07G06F18/2411
Inventor 王红茹朱振杰王佳
Owner JIANGSU UNIV OF SCI & TECH
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