Target image automatic identification and rapid tracking method

A target image, automatic recognition technology, applied in image analysis, image data processing, character and pattern recognition, etc., can solve problems such as unsuitability for specified target recognition and tracking, weak correlation between image foam characteristics, etc.
CN1604125AInactive Publication Date: 2005-04-06SHANGHAI JIAO TONG UNIV

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
SHANGHAI JIAO TONG UNIV
Publication Date
2005-04-06
Estimated Expiration
Not applicable · inactive patent

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Abstract

It is an aim image automatic identifying and rapid tracing method, which comprises the following steps: first to establish aim image valve grey scale grade; second to establish error and correlation index; then to form mode image and spot image characteristics matrix on the base of valve value grey scale and to form correlation functions under the condition of discreteness, such as variance, normalization correlation index, inner product operation in the linear space of all two-dimension matrix; to get the correlation definition according to norm and angle in the Euclidean space starting from the linear space; then to get a judge formula by use of inner product definition to realize the rapid identification of the aim.
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Description

technical field

[0001] The invention relates to a method for automatic and automatic processing of target images used in the technical field of image processing, in particular to a method for automatic recognition and fast tracking of target images. Background technique

[0002] Visual image signals are increasingly occupying a very important position in human social activities, and have been widely used in many disciplines and fields such as transportation, monitoring, biomedicine, remote sensing, military affairs, astronomy, geology and geography. The image signal is a one-dimensional signal in time and a two-dimensional signal in space. The image signal has a huge amount of data. If it is limited by data storage capacity or transmission bandwidth, the system needs to compress the image to reduce the amount of data. At the same time, high-dimensional digital processing operations are complicated, so naturally very high requirements are placed on the efficiency and speed o...

Claims

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