A moving point target detection method based on maximum-time index joint

A technology of time indexing and target detection, which is applied in the field of image processing, can solve the problems of large amount of calculation, complex algorithm, and low contrast of image moving point target neighborhood background, etc., so as to reduce the amount of data calculation, easy to realize by hardware, and simple and easy to calculate line effect

Active Publication Date: 2017-06-27
XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

[0005] (2) The contrast between the brightness of the image moving point target and its neighborhood background is low
[0008] (5) The law of target movement is irregular, which makes the search and detection of the target image more difficult
[0009] (6) In the process of target tracking, due to the low signal-to-noise ratio of the target, the algorithm often detects multiple false targets, which affects the performance of the tracking filter
However, the commonly used methods of tracking first and then detecting have shortcomings such as requiring prior information (speed, direction, etc.)

Method used

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  • A moving point target detection method based on maximum-time index joint
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  • A moving point target detection method based on maximum-time index joint

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Embodiment Construction

[0058] The present invention proposes a moving point target detection method based on the combination of maximum value and time index. The overall process of the method includes: obtaining the maximum gray value projection image, noise filtering, and determining the trajectory of the final moving point target.

[0059] The concrete steps of the present invention are described below in conjunction with accompanying drawing:

[0060] Step 1) Obtain the maximum gray value projection image and the time index frame image;

[0061] Step 1.1) Select K (M, N are the height and width of the image, according to the actual situation, the common value range of M and N is 128~2048; the value range of K is generally 3~15) frame sequence with the image size of M×N The image is used as a data sample f(i,j,k); the data sample is a Gaussian random variable independent of each other, and the noise is Gaussian white noise;

[0062] Step 1.2) Obtain the maximum gray value projection image z(i,j) ...

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Abstract

The invention discloses a motor point target detection method based on maximum-time index union. The method comprises the following steps: 1) a maximum gray value projected image and a time index frame image are obtained; 2) noise filtering process is performed on the time index frame image; 3)a motor point target in the time index frame image is detected. The motor point target detection method based on the maximum-time index union can effectively detect the motion trail of dispersed punctiform targets in a sequence image and need no prior information of the targets. The calculated amount is small and the instantaneity is high.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a moving point target detection method based on a maximum value-time index combination. Background technique [0002] The detection, recognition and tracking technology of moving point targets is one of the important contents of moving target recognition in sequence video images. Previous research on sequence image tracking systems mainly focused on the conditions of short distance, large targets, and strong signal-to-noise ratio. Under such conditions, the large target contains rich texture and contour information, and multiple features can be selected for its detection, and the detection and recognition of the target can be carried out on the basis of a single frame. [0003] Due to the long imaging distance of point moving targets, the imaging area of ​​the target on the photodetector is only a few or even one pixel, which appears as a weak point in the sy...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/215G06T7/277
CPCG06T7/215G06T2207/10016
Inventor 席江波易红伟汶德胜姚大雷文延陈智
Owner XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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