Ship water gauge image automatic number reading method based on deep learning algorithm

A deep learning and image technology, applied in computing, computer components, instruments, etc.

Active Publication Date: 2018-09-18
哈尔滨哈船智控科技有限责任公司
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Problems solved by technology

[0004] In order to solve the existing technical problems, the present invention propose...

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  • Ship water gauge image automatic number reading method based on deep learning algorithm
  • Ship water gauge image automatic number reading method based on deep learning algorithm
  • Ship water gauge image automatic number reading method based on deep learning algorithm

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Embodiment Construction

[0081] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0082]With the rapid development of the national economy, the shipping industry is also becoming more and more prosperous. In the bulk cargo trading by sea, measuring the load capacity of ships is an important part of it. At present, it is most widely used in measuring the load capacity of seaborne bulk bulk cargo, and the most frequent measurement method is water gauge weight measurement. This measurement method is mainly suitable for the weight me...

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Abstract

The invention provides a ship water gauge image automatic number reading method based on a deep learning algorithm. According to the method, the deep learning algorithm is used for performing identification positioning on the number in a ship water gauge image, thereby obtaining a digital number and a frame coordinate in the image, and a digital frame coordinate is corrected. By means of a numberarrangement rule and a human eye number reading principle in the image, a digit combination algorithm based on the human eye number reading principle is designed. By means of image color information of a ship body and water body, a method for identifying a water level in different color body color backgrounds is designed, wherein different identification methods can be selected according to different backgrounds, thereby ensuring high accuracy and high speed in water level identification. According to the position coordinate of the oblique number in each line and the position coordinate of thewater level, a length reference and oblique number correction algorithm is designed; wherein the actual pixel distance between water level and the number is calculated, and percentage of the pixel distance between the water level and the number in the actual length reference is calculated. Furthermore the number of the ship water gauge image is obtained.

Description

technical field [0001] The invention belongs to the technical field of automatic measurement of ship water gauge readings, in particular to an automatic reading method for ship water gauge images based on a deep learning algorithm. Background technique [0002] Water gauge weight measurement is the most frequently used and most frequently used measurement method for seaborne bulk cargo. It is mainly suitable for the weight of some seaborne bulk solid commodities that are not high in value or difficult to measure with scales, such as coal, ore, etc. The water gauge weight is measured twice before and after loading or unloading the ship, the fresh water, ballast water, and fuel oil on the ship, and the density of the water beside the ship is measured twice before and after, and then according to the displacement table, the hydrostatic curve Charts, water and oil tank gauges and correction tables, etc. calculate the weight of the cargo carried by the ship. Compared with other ...

Claims

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Application Information

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IPC IPC(8): G06K9/34G06K9/62
CPCG06V30/153G06F18/214
Inventor 朱齐丹吕晓龙吴禹辰游锦成
Owner 哈尔滨哈船智控科技有限责任公司
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