CN108830885A - One kind being based on the relevant detection false alarm rejection method of multidirections difference residual energy - Google Patents

One kind being based on the relevant detection false alarm rejection method of multidirections difference residual energy Download PDF

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CN108830885A
CN108830885A CN201810547751.3A CN201810547751A CN108830885A CN 108830885 A CN108830885 A CN 108830885A CN 201810547751 A CN201810547751 A CN 201810547751A CN 108830885 A CN108830885 A CN 108830885A
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difference
image
multidirections
residual energy
false
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CN108830885B (en
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金挺
王世涛
王虎妹
董小萌
高宏霞
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Beijing Institute of Spacecraft System Engineering
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Beijing Institute of Spacecraft System Engineering
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/30Determination of transform parameters for the alignment of images, i.e. image registration
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/136Segmentation; Edge detection involving thresholding
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/254Analysis of motion involving subtraction of images

Abstract

The invention discloses one kind to be based on the relevant detection false alarm rejection method of multidirections difference residual energy, and the present invention characterizes unstable feature according to background clutter energy under different registration accuracies, carries out false-alarm targets discrimination:Multidirections difference, residual energy distribution relevant calculation are carried out to suspected target region, false-alarm targets are quickly and effectively distinguished by the Energy distribution situation of change of multidirections difference image.For false-alarm targets, registration accuracy is higher, and difference image residual energy is smaller, and registration accuracy is lower, and difference image residual energy is bigger;For true moving target, the difference image residual energy distribution under different registration accuracies is almost unchanged.Using multidirections difference residual energy correlation false alarm rejection method proposed by the present invention, the false-alarm targets as caused by background clutter can be effectively distinguished, to realize the inhibition to false-alarm.

Description

One kind being based on the relevant detection false alarm rejection method of multidirections difference residual energy
Technical field
The present invention relates to one kind to be based on the relevant detection false alarm rejection method of multidirections difference residual energy, belongs to target acquisition Detection processing field.
Background technique
The research of Moving Small Targeties Detection Techniques has important application in civilian, space flight and military affairs under complex background.By In image-forming range is remote and the influence of complex background, target lacks enough texture informations and shape information in the picture at dotted, And the target signal to noise ratio in image is low, and this considerably increases the difficulty of Dim targets detection.Optical detection system is general at present Method based on filtering, the method based on small echo are used to acquired image, are based on morphologic method, based on background difference Method etc., carry out complex background clutter recognition, inhibit to carry out suspected target extraction on image in background, be closed later using multiframe The mode of connection carries out target trajectory fitting, to realize that Moving Small Targeties detect.
In the object detection method inhibited based on image difference background, the most key step is exactly to realize to background height Precision registration, thus could eliminate as far as possible complex background clutter by two images difference, and only residual in difference image Remaining target and system noise ingredient.But due to the complexity of actual scene image, by Background Registration difference suppression technology, It is impossible to adapt to the complex characteristics such as intensity, the distribution of various backgrounds without exception, reaches and complex background is completely eliminated.Therefore, In background difference image, there will necessarily be because of registration error remaining background clutter, to cause detection false-alarm.
Summary of the invention
Technology of the invention solves the problems, such as:It is empty based on the relevant detection of multidirections difference residual energy that the invention proposes one kind Alert suppressing method, solves the problems, such as the high false-alarm of low signal-to-noise ratio Dim targets detection under complex background.
Technical solution of the invention:
One kind being based on the relevant detection false alarm rejection method of multidirections difference residual energy, the specific steps are:
(1) optical detection system obtains the two images with certain time interval, and carries out image to two images and match Image after registration is carried out Difference Calculation, obtains residual image by standard;
(2) suspected target detection is carried out to residual image, obtains all suspected target position coordinates;
(3) according to suspected target position, the first subregion difference image is intercepted on the residual image of step 1;
(4) on registration image, the Hua Qu multidirections difference area centered on the obtained suspected target position coordinates of step 2 Domain traverses the region, intercepts with the consistent multiple sub-district area images of step 3 first subregion difference image area, to corresponding Two sub-regions images carry out Difference Calculation, obtain the second subregion difference image, each second subregion difference image and step The first subregion difference image in rapid 3 makees relevant calculation, forms related coefficient sequence;
(5) variable quantity for calculating related coefficient sequence in step 4, if it is greater than the threshold value of setting, then by the suspected target It is determined as false-alarm, is deleted from the suspected target position obtained in step 2;Step 3-5 is repeated, is completed to all suspected targets Differentiate, realizes false alarm rejection.
The variable quantity of related coefficient sequence in step 5, the root-mean-square value by calculating related coefficient sequence obtain.
In step 4, by step-length s, the region is traversed, step-length s takes 0.5-1.5d, and the selection of d should be less than target in two width figures Move distance D, i.e., 1 as in<d<D.
Threshold value takes 0.01 in step 5.
The advantages of the present invention over the prior art are that:
The present invention is according to the basic principle of image difference target detection, using background clutter energy under different registration accuracies Unstable feature is characterized, false-alarm targets discrimination is carried out.Using method of the invention, can effectively inhibit to be caused by background clutter False-alarm targets, single background subtraction partial objectives for detection false alarm rate can reduce by two orders of magnitude or more.
Detailed description of the invention
Fig. 1 is flow chart of the present invention
Fig. 2 is the object detection results before false alarm rejection;
Fig. 3 false alarm rejection result of the present invention.
Specific embodiment
The present invention is described further with reference to the accompanying drawing.
Present embodiment provides one kind and is based on the relevant detection false alarm rejection method of multidirections difference residual energy, Key step is as shown in Figure 1, specific implementation process is as follows:
(1) optical detection system, which obtains, has the two images of certain time interval can for alignment scanning probe system To use two-wire column detection system, single pass obtains the two width detection images with certain time interval;Face battle array is detected System has certain time interval using video imaging mode between continuous two images.
(2) image registration is carried out using subpixel registration method to two images, the two images after registration are expressed as Ir1, Ir2, method for registering images can use sub-pix image registration algorithm;
(3) image after registration is subjected to difference processing, inhibits complex background, obtains residual image;
(4) is carried out by target detection, obtains all suspected target positions using threshold segmentation method for the residual image of step 3 It sets, is denoted as (xi,yi), i=1...n, wherein n is suspected target number, and the calculating of segmentation threshold can be calculated using iteration threshold Method, adaptive threshold method based on constant false alarm etc..
(5) for i-th of suspected target, with its position (xi,yi) centered on, in Ir1The sub-district of middle interception a × a size Domain is denoted as R1i;In Ir2The subregion of middle interception a × a size, is denoted as R2i;For Dim targets detection, the size of subregion is built View is selected as 9 × 9~15 × 15;R1i, R2iDifference Calculation is carried out, difference image is denoted as Diffi
(6) in Ir2In, with (xi,yi) centered on, in (a+d) × (a+d) regional scope, the selection of d should be less than target and exist Move distance D in two images, i.e., 1<d<D;By step-length s, the region is traversed, step-length s can use 0.5-1.5d, when the negated integer of s When, the interception of subregion should be carried out by sub-pix resampling;Intercept the subregion and R of a × a size1iDifference Calculation is carried out, is obtained Multidirections difference image sequence is taken, Seq is denoted asi
(7) by SeqiIn all difference images, respectively with DiffiMake relevant calculation, forms related coefficient sequence, be denoted as Cori
(8) Cor is calculatediIn variable quantity between all related coefficients, the root-mean-square value of all related coefficients is calculated, if Root value is greater than threshold value Tc, then i-th of suspected target is determined as false-alarm, deleted from suspected target result;Under normal circumstances, Tc can be adjusted with the value needs that value is 0.01, Tc according to the complexity of background, and when background complexity is high, texture is rich The value of Tc can be improved in Fu Shi;
(9) for each suspected target, step 5-8 is repeated, completes the differentiation to all suspected targets, realizes false-alarm targets Inhibit.
The simulation experiment result such as Fig. 2 that small IR targets detection false alarm rejection is carried out using the present invention, shown in Fig. 3;Fig. 2 It is not carry out the object detection results before false alarm rejection, wherein green frame indicates that correct target point, red frame indicate false-alarm point, due to Target energy is weak, background clutter is strong, and more false-alarm point is contained in testing result;Fig. 3 carries out false-alarm suppression using the method for the present invention Result after system.
As the simulation experiment result as it can be seen that the present invention can effectively remove the false-alarm targets as caused by background clutter, reduce The false alarm rate of Dim targets detection can effectively inhibit the false-alarm targets as caused by background clutter using method of the invention, single The false alarm rate of secondary background subtraction partial objectives for detection can reduce by two orders of magnitude or more.
The content that description in the present invention is not described in detail belongs to the well-known technique of those skilled in the art.

Claims (4)

1. one kind is based on the relevant detection false alarm rejection method of multidirections difference residual energy, which is characterized in that the specific steps are:
(1) optical detection system obtains the two images with certain time interval, and carries out image registration to two images, will Image after registration carries out Difference Calculation, obtains residual image;
(2) suspected target detection is carried out to residual image, obtains all suspected target position coordinates;
(3) according to suspected target position, the first subregion difference image is intercepted on the residual image of step 1;
(4) it on registration image, is drawn centered on the obtained suspected target position coordinates of step 2 and takes multidirections difference region, time The region is gone through, is intercepted with the consistent multiple sub-district area images of step 3 first subregion difference image area, to corresponding two sons Area image carries out Difference Calculation, obtains the second subregion difference image, in each second subregion difference image and step 3 First subregion difference image makees relevant calculation, forms related coefficient sequence;
(5) variable quantity for calculating related coefficient sequence in step 4 then determines the suspected target if it is greater than the threshold value of setting For false-alarm, deleted from the suspected target position obtained in step 2;Step 3-5 is repeated, all suspected targets are sentenced in completion Not, false alarm rejection is realized.
2. it is according to claim 1 a kind of based on the relevant detection false alarm rejection method of multidirections difference residual energy, it is special Sign is that the variable quantity of related coefficient sequence in step 5, the root-mean-square value by calculating related coefficient sequence obtains.
3. it is according to claim 1 a kind of based on the relevant detection false alarm rejection method of multidirections difference residual energy, it is special Sign is, in step 4, by step-length s, traverses the region, step-length s takes 0.5-1.5d, and the selection of d should be less than target in two images Middle move distance D, i.e., 1<d<D.
4. it is according to claim 3 a kind of based on the relevant detection false alarm rejection method of multidirections difference residual energy, it is special Sign is that threshold value takes 0.01 in step 5.
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