Deep learning-based ship board character accurate detection method

A deep learning and detection method technology, applied in the field of accurate detection of shipboard characters based on deep learning, can solve problems such as unsatisfactory detection results of ship recognition models, small target ships, small shipboard characters, etc.

Inactive Publication Date: 2020-10-27
国家海洋局南海调查技术中心 +2
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the prior art, the initially collected image frames are directly used as input parameters for training, but in the actual scene, due to the inability to ensure the appropriate range of acquisition distance when acquir

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Deep learning-based ship board character accurate detection method
  • Deep learning-based ship board character accurate detection method
  • Deep learning-based ship board character accurate detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Please refer to figure 1 , which is a flow chart of the steps of a method for accurately detecting shipboard characters based on deep learning provided by an embodiment of the present invention. The method includes steps 101 to 103, and each step is specifically as follows:

[0045] Step 101, acquire the target image in real time, input the target image into the ship detection and classification model, and obtain the ship image containing the ship's side characters; wherein, the ship detection and classification model detects and classifies the input target image to obtain the first ship's side character image, and positioning the ship in the first image to obtain the positioning position of the ship in the first image, and intercepting the first image according to the positioning position to obtain a ship image containing shipboard characters;

[0046] In this embodiment, the step of acquiring the target image in real time includes: acquiring the video file of the ship...

Embodiment 2

[0058] Please refer to figure 2 , is a structural schematic diagram of a device for accurate detection of shipboard characters based on deep learning provided by an embodiment of the present invention. The device includes: an image classification module, an image processing module, and an image recognition module; the functions of each module are as follows:

[0059] The image classification module is used to acquire the target image in real time, and input the target image into the ship detection and classification model to obtain the ship image containing the ship's side characters; wherein, the ship detection and classification model detects and classifies the input target image to obtain the ship's side character The first image of the first image, and the ship in the first image is positioned to obtain the positioning position of the ship in the first image, and the first image is intercepted according to the positioning position to obtain a ship image containing shipboar...

Embodiment 3

[0065] Embodiment 3, the embodiment of the present invention also provides a computer-readable storage medium, the computer-readable storage medium includes a stored computer program; wherein, the computer program controls the location of the computer-readable storage medium when running The device implements the deep learning-based precise detection method for shipboard characters described in any of the above embodiments.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a deep learning-based ship board character accurate detection method, and the method comprises the steps of obtaining a target image in real time, inputting the target image into a ship detection classification model, and obtaining a ship image containing ship board characters, wherein the ship detection and classification model detects and classifies an input target imageto obtain a first image containing ship board characters, positions a ship in the first image to obtain a positioning position of the ship in the first image, and intercepts the first image accordingto the positioning position to obtain a ship image containing the ship board characters; preprocessing the ship image to obtain a preprocessed image; inputting the preprocessed image into a ship boardcharacter recognition model to obtain ship board character information, wherein the shipboard character recognition model is used for performing character text recognition on an input preprocessed image and outputting shipboard character information. According to the technical scheme of the invention, the method achieves the precise recognition of the small ship side characters, and improves therecognition accuracy and detection efficiency of the ship side characters.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for accurately detecting shipboard characters based on deep learning. Background technique [0002] In the past, the detection of the hull number was basically judged by the human eye. When there are many ships or the distance between the ships is long, the human eye can only capture the hull number of one ship at a time, and when the human eye is in a long-distance observation, The ship's serial number often appears unclear and difficult to distinguish; in this case, the method of using this human eye to detect the ship's serial number is often poor in accuracy and low in efficiency. [0003] With the advent of the era of big data and the continuous optimization of computer hardware performance, methods based on deep learning are constantly developing. In the field of computer vision, convolutional neural network (CNN), as a deep learning method, has shown str...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/32G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/62G06V30/10G06N3/045G06F18/241
Inventor 董超蒋俊杰郑兵黄志成刘蔚田联房唐梓力
Owner 国家海洋局南海调查技术中心
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap