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Feature-Based Fast Ship Recognition Method

A recognition method and ship technology, applied in the field of image recognition and ship recognition, can solve problems such as poor recognition effect, and achieve the effect of correcting recognition errors and facilitating background intelligent analysis and statistical analysis.

Active Publication Date: 2016-11-23
NANJING STRONG INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage is that it is greatly affected by external conditions such as light and weather, and it can only recognize objects in motion. It is not effective for objects that are still or moving too slowly.

Method used

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  • Feature-Based Fast Ship Recognition Method
  • Feature-Based Fast Ship Recognition Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] Such as figure 1 As shown, the block feature extraction is performed on the image information of the effective recognition area, and the extracted results are compared in the ship feature library. When the block feature satisfies the similarity ratio with the water feature and exceeds 50%, it is the water feature. , otherwise continue to compare with the ship feature; when the block feature meets the similarity ratio with the ship feature more than 50%, it is a ship, otherwise it is a noise point.

Embodiment 2

[0059] Such as figure 2 The detection process shown is as follows: the video channel image first needs to extract ship features and establish a ship feature library. The capacity of the ship feature library depends on relevant information such as illumination, camera position, and accurate recognition; after the ship feature library is established, ship identification can be completed. .

[0060] The video acquisition image first undergoes image segmentation, and the invalid video information is classified from the image to be recognized, and then the effective information is extracted to identify the ship feature, and the extracted information is compared with the ship feature database. If it is judged to be a ship, then the ship Feature storage; if not, the next step of image analysis is performed, and after the feature extraction of the ship, the next step of image analysis is also performed.

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Abstract

The invention relates to an image recognition technology, in particular to a ship fast identification method based on features. The ship fast identification method comprises followed steps. A first step is to label the features of a ship manually and to establish a ship feature library. A second step is to train a decision tree classifier based on ship features through the study of positive and negative samples in ship feature library. A third step is to use a camera on the front end of the channel coast to shoot and get a video capture image provided with the ship and the channel information. The slicer is used for proceeding picture segmentation of the video capture image. The non-channel information is filtered. The effective image information which can be used for recognize the regions is kept. A fourth step is to do block feature extraction with the effective image information which can be used for recognizing the regions. A fifth step is to use the decision tree classifier to compare the extracted block features with the ship feature library. The ship fast identification method can be quick to recognize and process the ship in the channel, convenient in the intelligent analysis and statistic analysis in backstage. The system analyzes the recognition result quickly so as to correct the reorganization errors.

Description

technical field [0001] The invention relates to an image recognition technology, in particular to a ship recognition method, and belongs to the technical field of intelligent shipping management. Background technique [0002] Commonly used detection methods for inland ships at home and abroad use computer image vision analysis technology, infrared technology, radio frequency identification technology and sensor technology. Because computer vision technology based on video detection has the advantages of large detection range, rich information, and convenient installation and maintenance, it is considered to be one of the most promising detection methods. [0003] At present, intelligent video analysis technology in the field of land transportation has been widely and maturely applied, such as: license plate recognition, vehicle crossing driving, reverse driving, vehicle density monitoring, illegal parking, etc. In the field of water transportation, especially ship detection...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/00
Inventor 王迅赵云飞赵筠
Owner NANJING STRONG INFORMATION TECH
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