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Sea-sky-line detection method based on high gradient key points

A sea-antenna detection and high-gradient technology, applied in image data processing, instrumentation, computing, etc., can solve problems such as difficult detection of sea-antennas

Active Publication Date: 2013-03-20
CHINA NORTH IND NO 205 RES INST
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  • Abstract
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  • Application Information

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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-sky-line detection method based on high gradient key points
  • Sea-sky-line detection method based on high gradient key points
  • Sea-sky-line 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] The sea antenna appears in the image as a line with a sharp change in the gray value of the image in the statistical sense. The points on the sea antenna 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 antenna. These points are the image The high-gradient pixel points in are referred to as high-gradient key points in the present invention. In many cases, when the target is located on or near the sea antenna, the gray gradient of the corresponding position in the horizontal direction will be significantly larger, and the gray gradient in the vertical direction will also change, which is manifested as the upper and lower edges of the target. And no longer the sea line. These changes lead to the destruction of the linearity of the sea antenn...

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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 field of image processing and computer vision, and mainly relates to a sea target image recognition method, in particular to a sea antenna detection method for sea target recognition and positioning. Background technique [0002] Our country has a long coastline and a vast ocean territory. In the modern history of China, we "have the sea but no defense". ", cannot meet the needs of defending my country's sacred ocean and land under modern information warfare. In this context, it is an urgent need for future high-tech warfare to study sea target image recognition technology and realize advanced information processing technology. In the maritime military field, sea targets are important military targets and the main target of reconnaissance and strikes, while long-distance sea targets usually appear near the sea antenna. By detecting the sea antenna, the target can be positioned in the potential area and narrowed down. The r...

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Application Information

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Patent Type & Authority Patents(China)
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