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Sea antenna detection method based on high gradient key points

A sea-line detection and key point technology, which is applied in the field of sea-line detection for marine target recognition and positioning, and can solve problems such as difficulty in detecting sea-line

Active Publication Date: 2011-12-14
CHINA NORTH IND NO 205 RES INST
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AI Technical Summary

Problems solved by technology

It is difficult to detect ideal sea antennae after threshold segmentation using the method of maximum between-class variance

Method used

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  • Sea antenna detection method based on high gradient key points
  • Sea antenna detection method based on high gradient key points
  • Sea antenna detection method based on high gradient key points

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Embodiment Construction

[0051] The present invention will be further described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0052] In the image, the sea line is represented as a line with a sharp change in the gray value of the image in the statistical sense. The points on the sea line are usually the points with the largest statistical change in the gray value of the image in a column of pixels perpendicular to the sea line. These points are the image The high-gradient pixel points in the present invention are referred to as high-gradient key points. In many cases, when the target is located on or near the sea line, the gray gradient of the corresponding position in the horizontal direction will become significantly larger, and the gray gradient in the vertical direction will also change, which is expressed as the upper and lower edges of the target. instead of sea lines. These changes caused the linearity of the sea lines to be disrupted. Similarly, t...

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Abstract

The invention discloses a sea-sky-line detection method based on high gradient key points, and the method is suitable for ocean ship object identification and positioning devices. The method is characterized in that: based on a high efficiency attention mechanism of visual information, obtaining a statistical set of high gradient key points of an image column through employing a recursion optimization algorithm and a variable resolution sampling technique, subjecting the statistical set to least squares straight line fitting, rejecting outliers which do no satisfy a distance threshold condition in the statistical set and obtaining a selected set of the high gradient key points, subjecting the selected set to least squares straight line fitting, determining a selected set of the high gradient key points which satisfies an adaptive quantity threshold and a linear correlation threshold simultaneously as sea-sky-line. A problem of effective, accurate and real-time detection of sea-sky-line in a complex sea surface environment is solved by the sea-sky-line detection method based on high gradient key points, and the method has the characteristics of strong anti-interference capability and high calculating efficiency.

Description

technical field [0001] The invention belongs to the fields of image processing and computer vision, and mainly relates to a method for identifying images of marine targets, in particular to a method for detecting sea antennas used for identifying and locating marine targets. Background technique [0002] Our country has a long coastline and a vast maritime territory. In the modern history of China, we have "no defense at sea", but today in the 21st century, the status quo of our country's naval information technology is still backward, which still leads us to "have no defense at sea". ", cannot meet the needs of defending our country's sacred maritime land under the modern information war. Under this background, it is an urgent need for future high-tech warfare to study the image recognition technology of maritime targets and realize advanced information processing technology. In the maritime military field, maritime targets are important military targets and the main targe...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 李良福陈卫东郑宝忠钱钧
Owner CHINA NORTH IND NO 205 RES INST
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