CN106127759A - The detection method of infrared image fringes noise - Google Patents
The detection method of infrared image fringes noise Download PDFInfo
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- CN106127759A CN106127759A CN201610455526.8A CN201610455526A CN106127759A CN 106127759 A CN106127759 A CN 106127759A CN 201610455526 A CN201610455526 A CN 201610455526A CN 106127759 A CN106127759 A CN 106127759A
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- 238000001514 detection method Methods 0.000 title claims abstract description 20
- 230000002159 abnormal effect Effects 0.000 claims abstract description 33
- 238000001228 spectrum Methods 0.000 claims abstract description 12
- 230000001186 cumulative effect Effects 0.000 claims description 26
- 238000005315 distribution function Methods 0.000 claims description 26
- 238000000034 method Methods 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 10
- 230000009466 transformation Effects 0.000 claims description 3
- 230000000737 periodic effect Effects 0.000 abstract description 4
- 238000003384 imaging method Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
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- Photometry And Measurement Of Optical Pulse Characteristics (AREA)
Abstract
The invention discloses the detection method of a kind of infrared image fringes noise, including: original image to be measured is transformed to the spectrogram that spectrum space is corresponding to obtain original image to be measured；Spectrogram corresponding for original image to be measured is divided into extension frequency modulation band and neighboring area frequency band；Detect described extension frequency modulation band respectively and whether described neighboring area frequency band exists abnormal bright spot；When there is abnormal bright spot in described extension frequency modulation band and/or described neighboring area frequency band there is abnormal bright spot, it is judged that original image to be measured exists fringes noise.The detection method of the infrared image fringes noise that the present invention provides, can effectively detect the periodic stripe in Infrared video image, adapts to the detection with the multiple periodic stripe of different directions.
Description
Technical field
The present invention relates to infrared image processing technical field, be specifically related to the detection side of a kind of infrared image fringes noise
Method.
Background technology
IR imaging electronics assembly is the important component part of thermal imaging system, its bear give full play to infrared Jiao put down
Surface detector performance, by infrared focal plane detector export the signal of telecommunication be converted into video signal or other system through process
The function of prescribed form signal.IR imaging electronics assembly then includes hardware system and image processing algorithm two large divisions, by
The most perfect in Current hardware system platform, therefore infrared image processing technology becomes the important of electronics for imaging assembly and grinds
Study carefully content.
In infrared focal plane detector, reading circuit is typically with string pixel or to share same with a line pixel
Output circuit.Owing to the bias voltage of line output circuit is not quite identical, cause image comprises with horizontal stripe as principal character
Non-uniform noise, referred to as fringes noise.At present, the fringes noise detection of infrared static image is based on filtering method mostly,
And the jail-bar detection approach of Infrared video image is less.Fringes noise not only reduces the quality of video monitoring image and soluble
Property, and easily cause uncertain fault.
Summary of the invention
The problem being the fringes noise in Infrared video image and detecting to be solved by this invention.
The present invention is achieved through the following technical solutions:
A kind of detection method of infrared image fringes noise, including: original image to be measured is transformed to spectrum space to obtain
The spectrogram that original image to be measured is corresponding；Spectrogram corresponding for original image to be measured is divided into extension frequency modulation band and neighboring area frequency
Band；Detect described extension frequency modulation band respectively and whether described neighboring area frequency band exists abnormal bright spot；In described extension frequency modulation band
When there is abnormal bright spot and/or the abnormal bright spot of described neighboring area frequency band existence, it is judged that original image to be measured exists fringes noise.
Optionally, by Fourier transformation, original image to be measured is transformed to spectrum space.
Optionally, spectrogram corresponding for original image to be measured is divided into extension frequency modulation band and neighboring area frequency band includes: root
According toDetermining first threshold, wherein, A is described first threshold, and M is the row of the spectrogram that original image to be measured is corresponding
Value, N is the train value of the spectrogram that original image to be measured is corresponding, and B is weights and 0 ＜ B ＜ 1；Judge the frequency spectrum that original image to be measured is corresponding
(whether u v) meets inequality group in the relative position of figureIf the phase para-position of the spectrogram that original image to be measured is corresponding
Put that (u v) meets inequality group(u v) belongs to extension in the relative position of the spectrogram that original image the most to be measured is corresponding
Frequency modulation band, otherwise belongs to neighboring area frequency band.
Optionally, detect described extension frequency modulation band whether to there is abnormal bright spot and include: according toObtain
Described extension frequency modulation band is in the discrete cumulative distribution function of column direction, wherein, SD(k)For described extension frequency modulation band at column direction
Discrete cumulative distribution function, P is the row value of described extension frequency modulation band, and (j k) is described extension frequency modulation band to F；According toObtain described extension frequency modulation band discrete cumulative distribution function in the row direction, wherein, SD(j)For described expansion
Exhibition frequency modulation band discrete cumulative distribution function in the row direction, Q is the train value of described extension frequency modulation band；Judge that described extension is adjusted respectively
In the discrete cumulative distribution function of column direction and described extension frequency modulation band discrete cumulative distribution function in the row direction whether frequency band
There is anomaly peak；If there is anomaly peak and/or described in the discrete cumulative distribution function of column direction in described extension frequency modulation band
There is anomaly peak in extension frequency modulation band discrete cumulative distribution function in the row direction, the most described extension frequency modulation band exists abnormal bright
Point, there is not abnormal bright spot in the most described extension frequency modulation band.
Optionally, detect described neighboring area frequency band whether to there is abnormal bright spot and include: described neighboring area frequency band is entered
Row enhancement process；Judge that whether the neighboring area band amplitude after enhancement process is more than Second Threshold；If the week after enhancement process
Edge regions band amplitude is more than Second Threshold, and the most described neighboring area frequency band exists abnormal bright spot, the most described neighboring area frequency
There is not abnormal bright spot in band.
The present invention compared with prior art, has such advantages as and beneficial effect:
The detection method of the infrared image fringes noise that the present invention provides, based on the infrared image frequency spectrum with fringes noise
Figure feature, is divided into spectrogram corresponding for original image to be measured extension frequency modulation band and two subbands of neighboring area frequency band, then judges
Whether each subband exists abnormal bright spot, and then determines whether original image to be measured exists fringes noise.The infrared figure that the present invention provides
As the detection method of fringes noise can effectively detect the periodic stripe in Infrared video image, adapt to that there is different directions
The detection of multiple periodic stripe.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing being further appreciated by the embodiment of the present invention, constitutes of the application
Point, it is not intended that the restriction to the embodiment of the present invention.In the accompanying drawings:
Fig. 1 is the schematic flow sheet of the detection method of the infrared image fringes noise of the embodiment of the present invention.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with embodiment and accompanying drawing, to this
Invention is described in further detail, and the exemplary embodiment of the present invention and explanation thereof are only used for explaining the present invention, do not make
For limitation of the invention.
Embodiment
Through the research to Infrared video image, inventor finds, the Infrared video image that there is fringes noise is corresponding
Abnormal bright spot can be there is in spectrogram.Based on this, the embodiment of the present invention provides the detection method of a kind of infrared image fringes noise, figure
1 is the schematic flow sheet of the detection method of the infrared image fringes noise of the embodiment of the present invention, including:
Step S11, transforms to the spectrogram that spectrum space is corresponding to obtain original image to be measured by original image to be measured.Specifically
Ground, transforms to spectrum space by Fourier transformation by original image to be measured.Those skilled in the art know how to carry out Fourier
Conversion, does not repeats them here.
Step S12, is divided into extension frequency modulation band and neighboring area frequency band by spectrogram corresponding for original image to be measured.Specifically
Ground, according toDetermining first threshold, wherein, A is described first threshold, and M is the frequency spectrum that original image to be measured is corresponding
The row value of figure, N is the train value of the spectrogram that original image to be measured is corresponding, and B is weights and 0 ＜ B ＜ 1.Described weights B can be according to reality
Demand is configured: described weights B arranges the biggest, and extension ratio shared by frequency modulation band is the biggest, shared by the frequency band of neighboring area
Ratio is the least.Judge (whether u v) meets inequality group for the relative position of the spectrogram that original image to be measured is corresponding
Wherein, (u is v) with the upper left corner of spectrogram corresponding to original image to be measured as initial point in relative position.If original image to be measured is corresponding
(u v) meets inequality group in the relative position of spectrogramThe phase para-position of the spectrogram that original image the most to be measured is corresponding
Put that (u v) belongs to extension frequency modulation band, otherwise belongs to neighboring area frequency band.
Step S13, detects described extension frequency modulation band respectively and whether described neighboring area frequency band exists abnormal bright spot.
Specifically, detect described extension frequency modulation band whether to there is abnormal bright spot and include: according toObtain
Described extension frequency modulation band is in the discrete cumulative distribution function of column direction, wherein, SD(k)For described extension frequency modulation band at column direction
Discrete cumulative distribution function, P is the row value of described extension frequency modulation band, and (j k) is described extension frequency modulation band to F；According toObtain described extension frequency modulation band discrete cumulative distribution function in the row direction, wherein, SD(j)For described expansion
Exhibition frequency modulation band discrete cumulative distribution function in the row direction, Q is the train value of described extension frequency modulation band；Judge that described extension is adjusted respectively
In the discrete cumulative distribution function of column direction and described extension frequency modulation band discrete cumulative distribution function in the row direction whether frequency band
There is anomaly peak；If there is anomaly peak and/or described in the discrete cumulative distribution function of column direction in described extension frequency modulation band
There is anomaly peak in extension frequency modulation band discrete cumulative distribution function in the row direction, the most described extension frequency modulation band exists abnormal bright
Point, there is not abnormal bright spot in the most described extension frequency modulation band.Calculate the cumulative distribution function on column direction and line direction, its intermediate frequency
The transverse axis of spectrogram is line number or columns, and the longitudinal axis is corresponding is the spectrum amplitude accumulated value of column direction or line direction.Utilize frequency
Spectrogram symmetry, only need to calculate the ranks cumulative distribution function of image half.
Detect described neighboring area frequency band whether to there is abnormal bright spot and include: described neighboring area frequency band is carried out at enhancing
Reason；Judge that whether the neighboring area band amplitude after enhancement process is more than Second Threshold；If the neighboring area frequency after enhancement process
Band amplitude is more than Second Threshold, and the most described neighboring area frequency band exists abnormal bright spot, and the most described neighboring area frequency band does not exists
Abnormal bright spot.By described neighboring area frequency band is carried out enhancement process, abnormal bright spot range value can be highlighted.
, there is abnormal bright spot and/or the abnormal bright spot of described neighboring area frequency band existence in described extension frequency modulation band in step S14
Time, it is judged that there is fringes noise in original image to be measured.
Above-described detailed description of the invention, has been carried out the purpose of the present invention, technical scheme and beneficial effect further
Describe in detail, be it should be understood that the detailed description of the invention that the foregoing is only the present invention, be not intended to limit the present invention
Protection domain, all within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. done, all should comprise
Within protection scope of the present invention.
Claims (5)
1. the detection method of an infrared image fringes noise, it is characterised in that including:
Original image to be measured is transformed to the spectrogram that spectrum space is corresponding to obtain original image to be measured；
Spectrogram corresponding for original image to be measured is divided into extension frequency modulation band and neighboring area frequency band；
Detect described extension frequency modulation band respectively and whether described neighboring area frequency band exists abnormal bright spot；
When there is abnormal bright spot in described extension frequency modulation band and/or described neighboring area frequency band there is abnormal bright spot, it is judged that to be measured
There is fringes noise in original image.
The detection method of infrared image fringes noise the most according to claim 1, it is characterised in that pass through Fourier transformation
Original image to be measured is transformed to spectrum space.
The detection method of infrared image fringes noise the most according to claim 1, it is characterised in that by original image pair to be measured
The spectrogram answered is divided into extension frequency modulation band and neighboring area frequency band includes:
According toDetermining first threshold, wherein, A is described first threshold, and M is the frequency spectrum that original image to be measured is corresponding
The row value of figure, N is the train value of the spectrogram that original image to be measured is corresponding, and B is weights and 0 ＜ B ＜ 1；
Judge (whether u v) meets inequality group for the relative position of the spectrogram that original image to be measured is corresponding
If (u v) meets inequality group in the relative position of the spectrogram that original image to be measured is correspondingArtwork the most to be measured
(u v) belongs to extension frequency modulation band, otherwise belongs to neighboring area frequency band in the relative position of the spectrogram that picture is corresponding.
The detection method of infrared image fringes noise the most according to claim 1, it is characterised in that detect described extension and adjust
Whether frequency band exists abnormal bright spot includes:
According toObtain the described extension frequency modulation band discrete cumulative distribution function at column direction, wherein, SD(k)For
Described extension frequency modulation band is in the discrete cumulative distribution function of column direction, and P is the row value of described extension frequency modulation band, and (j is k) described to F
Extension frequency modulation band；
According toObtain described extension frequency modulation band discrete cumulative distribution function in the row direction, wherein, SD(j)For
Described extension frequency modulation band discrete cumulative distribution function in the row direction, Q is the train value of described extension frequency modulation band；
Judge that described extension frequency modulation band is in the discrete cumulative distribution function of column direction and described extension frequency modulation band in the row direction respectively
Discrete cumulative distribution function whether there is anomaly peak；
If there is anomaly peak and/or described extension frequency modulation band in the discrete cumulative distribution function of column direction in described extension frequency modulation band
There is anomaly peak in discrete cumulative distribution function in the row direction, the most described extension frequency modulation band exists abnormal bright spot, otherwise described
There is not abnormal bright spot in extension frequency modulation band.
The detection method of infrared image fringes noise the most according to claim 1, it is characterised in that detect described surrounding zone
Whether territory frequency band exists abnormal bright spot includes:
Described neighboring area frequency band is carried out enhancement process；
Judge that whether the neighboring area band amplitude after enhancement process is more than Second Threshold；
If the neighboring area band amplitude after enhancement process is more than Second Threshold, the most described neighboring area frequency band exists abnormal bright
Point, there is not abnormal bright spot in the most described neighboring area frequency band.
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| CN201610455526.8A CN106127759A (en) | 2016-06-22 | 2016-06-22 | The detection method of infrared image fringes noise |
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| CN201610455526.8A CN106127759A (en) | 2016-06-22 | 2016-06-22 | The detection method of infrared image fringes noise |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113496476A (en) * | 2020-04-02 | 2021-10-12 | 北京东舟技术股份有限公司 | Method and device for judging screen splash image and computer storage medium |
| CN113569713A (en) * | 2021-07-23 | 2021-10-29 | 浙江大华技术股份有限公司 | Stripe detection method and device for video image and computer readable storage medium |
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| US20120170846A1 (en) * | 2010-12-31 | 2012-07-05 | Altek Corporation | Method for detecting streak noises in digital image |
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Non-Patent Citations (1)
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113496476A (en) * | 2020-04-02 | 2021-10-12 | 北京东舟技术股份有限公司 | Method and device for judging screen splash image and computer storage medium |
| CN113569713A (en) * | 2021-07-23 | 2021-10-29 | 浙江大华技术股份有限公司 | Stripe detection method and device for video image and computer readable storage medium |
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Application publication date: 20161116 |