CN110335219B - Correction method and correction device for pixel distortion and terminal - Google Patents
Correction method and correction device for pixel distortion and terminal Download PDFInfo
- Publication number
- CN110335219B CN110335219B CN201910645948.5A CN201910645948A CN110335219B CN 110335219 B CN110335219 B CN 110335219B CN 201910645948 A CN201910645948 A CN 201910645948A CN 110335219 B CN110335219 B CN 110335219B
- Authority
- CN
- China
- Prior art keywords
- pixel
- value
- pixel values
- values
- pixel value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000012937 correction Methods 0.000 title claims abstract description 52
- 238000004590 computer program Methods 0.000 claims description 18
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 description 9
- 238000009529 body temperature measurement Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 230000008859 change Effects 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 5
- 238000001931 thermography Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000003384 imaging method Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 241000135164 Timea Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Classifications
-
- G06T5/80—
-
- 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
- G06T2207/10056—Microscopic image
Abstract
The invention is suitable for the technical field of correction, and provides a correction method, a correction device, a terminal and a computer readable storage medium for pixel distortion, wherein the correction method comprises the following steps: the method comprises the steps of obtaining multi-frame images of a measured target, respectively obtaining pixel values of pixel points corresponding to appointed pixel positions on each frame of image to obtain a plurality of pixel values, determining reference pixel values of the pixel values, and carrying out distortion correction on the pixel values of the pixel points corresponding to the appointed pixel positions based on the reference pixel values. The method and the device can improve the accuracy of the pixel value of the pixel point corresponding to the appointed pixel position of the multi-frame image of the measured target.
Description
Technical Field
The present invention relates to the field of correction technologies, and in particular, to a method, an apparatus, a terminal, and a computer-readable storage medium for correcting pixel distortion.
Background
The photothermal reflection temperature measurement technique is a non-contact temperature measurement technique that can realize temperature measurement of an object to be measured by measuring the rate of change of the intensity of reflected light of the object to be measured, using the principle that the rate of change of the intensity of reflected light of the object irradiated with light in the photothermal reflection phenomenon changes with the change of the temperature of the object.
In order to realize high-spatial-resolution microthermal imaging, a high-performance optical microscope is generally adopted to construct a microlight reflection thermal imaging device. The method comprises the steps of utilizing an illumination system of an optical microscope to provide detection light to irradiate a measured object, utilizing a high-performance camera of the optical microscope to record microscopic imaging of the irradiated measured object, and obtaining the change rate of the intensity of reflected light through an image of the microscopic imaging.
However, in the process of measuring the temperature of the measured object by using the optical microscope, the temperature of the measured object is constantly changed due to the photothermal reflection phenomenon of the measured object, and the air inside the measured object and around the measured object generate the heat convection phenomenon, so that the pixel values of the obtained microscopic imaging image of the measured object at different positions generate distortion in different degrees, and the change rate of the reflected light intensity obtained by recording the irradiated image of the measured object by using the high-performance camera of the light microscope generates an error, so that the temperature measured by using the microscopic thermal imaging technology has lower accuracy.
Disclosure of Invention
In view of this, the present invention provides a method, a device, a terminal and a computer readable storage medium for correcting pixel distortion, and aims to solve the problem in the prior art that the accuracy of a measurement result is low due to pixel distortion in an image obtained by direct shooting.
A first aspect of an embodiment of the present invention provides a method for correcting pixel distortion, where the method includes:
acquiring a multi-frame image of a detected target;
respectively obtaining pixel values of pixel points corresponding to the appointed pixel positions on each frame of image to obtain a plurality of pixel values;
determining a reference pixel value of the plurality of pixel values;
and carrying out distortion correction on the pixel value of the pixel point corresponding to the appointed pixel position based on the reference pixel value.
A second aspect of embodiments of the present invention provides a correction apparatus for pixel distortion, the correction apparatus including:
the device comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring multi-frame images of a detected target;
the second acquisition unit is used for respectively acquiring pixel values of pixel points corresponding to the appointed pixel positions on each frame of image to obtain a plurality of pixel values;
a determination unit configured to determine a reference pixel value of the plurality of pixel values;
and the distortion correction unit is used for carrying out distortion correction on the pixel value of the pixel point corresponding to the appointed pixel position based on the reference pixel value.
A third aspect of embodiments of the present invention provides a terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for correcting pixel distortion according to any one of the above methods when executing the computer program.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method for correcting pixel distortion as described in any one of the above.
Compared with the prior art, the invention has the following beneficial effects:
the method comprises the steps of obtaining a plurality of frame images of a measured target, respectively obtaining pixel values of pixel points corresponding to designated pixel positions on each frame image to obtain a plurality of pixel values, determining reference pixel values of the plurality of pixel values, carrying out distortion correction on the pixel values of the pixel points corresponding to the designated pixel positions based on the reference pixel values, reducing the distortion degree of the pixel values of the pixel points corresponding to the designated pixel positions of the multi-frame images of the measured target by determining the reference pixel values of the plurality of pixel values, improving the accuracy of the pixel values of the pixel points corresponding to the designated pixel positions of the multi-frame images of the measured target, and effectively improving the accuracy of temperature measurement by utilizing micro thermal imaging by carrying out pixel distortion correction on thermal images.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a flowchart of an implementation of a method for correcting pixel distortion according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an implementation of a method for correcting pixel distortion according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of a pixel distortion correction apparatus according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following description is made by way of specific embodiments with reference to the accompanying drawings.
Referring to fig. 1, it shows a flowchart of an implementation of the pixel distortion correction method provided by the embodiment of the present invention, which is detailed as follows:
s101: acquiring a multi-frame image of a detected target;
in the embodiment of the invention, a plurality of frames of images of the detected target are obtained, the frame number of the plurality of frames of images can be continuous, and the frame number represents the sequence number of each frame of image obtained.
S102: respectively obtaining pixel values of pixel points corresponding to the appointed pixel positions on each frame of image to obtain a plurality of pixel values;
in the embodiment of the invention, the pixel values of the pixel points at the appointed pixel positions on each frame of image are respectively obtained to obtain a plurality of pixel values, and the pixel values of the pixel points at each pixel position on each frame of image can be simultaneously obtained by using the method for obtaining the pixel values of the pixel points at the appointed pixel positions on each frame of image to obtain a plurality of pixel values of the pixel points at each same pixel position of the multi-frame image.
S103: determining a reference pixel value of the plurality of pixel values;
in the embodiment of the invention, the reference pixel value is the pixel value with the minimum distortion degree, and the reference pixel value replaces a plurality of pixel values, so that the pixel values of the pixel points corresponding to the appointed pixel positions on each frame of image are all the reference pixel values, the distortion degree of the pixel values of the pixel points corresponding to the appointed pixel positions on each frame of image is reduced, and the accuracy of the measured pixel values of the pixel points of each frame of image at the appointed pixel positions is improved.
The method for determining the reference pixel value of the pixel point corresponding to the appointed pixel position on each frame of image can be used for simultaneously determining the reference pixel value of the pixel point corresponding to each pixel position on each frame of image, thereby enhancing the accuracy of the measured pixel value of the pixel point of each frame of image at each pixel position,
s104: and carrying out distortion correction on the pixel value of the pixel point corresponding to the appointed pixel position based on the reference pixel value.
In the embodiment of the invention, the distortion correction process is to replace the reference pixel value of the pixel point corresponding to the designated pixel position on each frame of image with the pixel value of the pixel point corresponding to the designated position on each frame of image.
Illustratively, n frames of continuous images of the detected object are obtained, wherein n is a positive integer greater than 1, and the pixel value of the image with the frame number of 1 at the pixel point A corresponding to the designated pixel position is a1The pixel value of the pixel point A corresponding to the designated pixel position in the image with the frame number of 2 is a2By analogy, the pixel value of the pixel point A corresponding to the appointed pixel position of the image with the frame number n is anDetermining a plurality of pixel values a by calculation1，a2，……，anThe reference pixel value at the pixel point A is a0A reference pixel value a0The pixel value of the image of the measured object as n frames continuous at the pixel point A, i.e. let a1＝a2＝……＝an＝a0. By utilizing the method for determining the reference pixel value of the pixel point A corresponding to the appointed pixel position on each frame of image, the reference pixel value of the pixel point of the multi-frame image at each same pixel position can be obtained at the same time, and the multi-frame image at each same pixel position can be obtainedAnd the reference pixel value of the pixel point at the pixel position replaces the pixel value of the pixel point at each same pixel position of each frame of image, so that the distortion correction of the pixel value of the pixel point at each pixel position is realized.
Therefore, the distortion degree of the pixel values of the pixel points of each group of images at the appointed pixel position is reduced, the distortion correction of the pixel values of the pixel points of each frame of images at each pixel position is realized by using the same method, the distortion degree of the pixel values of the pixel points of each frame of images at each same pixel position is further reduced, the pixel distortion correction is carried out on the microscopic thermal image by the method, the distortion degree of the pixel values of the pixel points of each frame of images at each pixel position caused by the thermal convection phenomenon is reduced, and the accuracy of temperature measurement by using the microscopic thermal imaging can be effectively improved.
Referring to fig. 2, it shows a flowchart of an implementation of the method for correcting pixel distortion according to another embodiment of the present invention, which is detailed as follows:
s201: acquiring a multi-frame image of a detected target;
the step S201 can refer to the step S101 in the embodiment shown in fig. 1, which is not described herein again.
S202: grouping the multi-frame images according to a preset rule to obtain a plurality of groups of images;
s203: respectively obtaining pixel values of pixel points corresponding to the appointed pixel positions on each frame of image of each group of images in the multiple groups of images to obtain multiple pixel values of each group;
s204: determining a reference pixel value for each group of the plurality of pixel values;
s205: based on the number of the groups of images, carrying out average calculation on the reference pixel values in each group of images to obtain the average pixel value of a plurality of pixel values of the groups of images;
s206: and carrying out distortion correction on the pixel value of the pixel point corresponding to the appointed pixel position based on the average pixel value.
In the embodiment of the invention, the distortion correction of the pixel values of the pixel points at each same pixel position of the multi-group images is realized by grouping the acquired multi-frame images, determining the reference pixel values of the pixel points at the specified pixel position of each group of images, carrying out average calculation on the reference pixel values of each group of images according to the number of the grouped groups to obtain the average pixel value, replacing the average pixel value with the pixel value of the pixel point at the specified pixel position of each group of images, simultaneously acquiring the average pixel value of the pixel point at each same pixel position of each group of images by using the same method, and replacing the average pixel value of the pixel point at each same pixel position of each group of images with the pixel value of the pixel point at each same pixel position of each group of images.
Step S204 can determine the reference pixel value of the pixel point of each group of images at the appointed pixel position, and reduce the distortion degree of the pixel value of the pixel point of each group of images at the appointed pixel position, step S205 and S206, the reference pixel value of the pixel point of each group of images at the appointed pixel position is calculated to obtain the average pixel value, and the average pixel value is used to replace the pixel value of the pixel point of each group of images at the appointed pixel position, so as to realize the further distortion correction of the pixel value of the pixel point of the appointed pixel position of each group of images, further reduce the difference of the pixel point of the appointed pixel position between each group of images, improve the accuracy of the measured pixel value of the pixel point of each group of images at the appointed pixel position, and by using the same method, the average pixel value of the pixel point of each group of images at each same pixel position can be obtained at the same time, and the distortion correction of the pixel value of each group of images at each pixel position can be realized, the accuracy of the pixel values of the pixel points of each group of measured images at the same pixel position is improved.
Therefore, the pixel distortion correction is carried out on the microscopic thermal image by the method, the degree of distortion of the pixel value of each group of images at the pixel point of the appointed pixel position caused by the thermal convection phenomenon can be reduced, the process of average calculation of the reference pixel value of the pixel point of each group of images at the appointed pixel position is obtained, the influence of image noises such as shot noise, thermal noise and the like on the pixel value of the pixel point of the pixel position in a multi-frame image is reduced, and the measurement accuracy of temperature measurement by the microscopic thermal imaging technology is further enhanced.
Optionally, the determining a reference pixel value of the plurality of pixel values includes:
sequencing the plurality of pixel values according to the size of the pixel values to obtain a first pixel value sequence;
determining a median value of the first sequence of pixel values as a reference pixel value of the plurality of pixel values.
In the embodiment of the present invention, the median value of the first sequence of pixel values is determined as the reference pixel value of the plurality of pixel values, where the median value of the first sequence of pixel values takes the sequence value at the middle position of the first sequence of pixel values when the number of sequences of the first sequence of pixel values is odd, and the median value of the first sequence of pixel values may take any one of the two sequence values at the middle position of the first sequence of pixel values when the number of sequences of the first sequence of pixel values is even.
By determining the median of the first pixel value sequence as the reference pixel value of the plurality of pixel values, the pixel values with larger difference in the first pixel value sequence, namely the pixel values with larger pixel distortion degree, can be removed, and the median with the minimum distortion degree is used as the reference pixel value of all the pixel values in the first pixel value sequence, so that the distortion degree of the pixel points at the designated position is reduced, and the accuracy of the pixel values of the measured multi-frame image at the designated position is enhanced.
Optionally, the determining a reference pixel value of the plurality of pixel values includes:
determining a plurality of first threshold value ranges of which the range sizes are all first preset values by taking each pixel value in the plurality of pixel values as a center;
a center pixel value of a first threshold range including a largest pixel value among the plurality of pixel values is set as a reference pixel value of the plurality of pixel values.
In the embodiment of the present invention, the first preset value is a value determined based on a factor affecting a pixel value of an image, and illustratively, when pixel distortion correction is performed on a microscopic thermal image by the present invention, the first preset value is a value determined based on noise of the microscopic thermal image.
Illustratively, n frames of successive images of the object under test are acquiredWherein n is a positive integer greater than 1, and the pixel value of the image with the frame number of 1 at the pixel point A corresponding to the designated pixel position is a1The pixel value of the pixel point A corresponding to the designated pixel position in the image with the frame number of 2 is a2By analogy, the pixel value of the pixel point A corresponding to the appointed pixel position of the image with the frame number n is anDetermining the first preset value to be 2s through calculation1From one of a plurality of pixel values, a1Centered, a first threshold range is formed as [ a ]1-s1,a1+s1]。
The distortion degrees of the pixel values of the pixel points at the designated positions in the multi-frame images are different, and the number of the pixel values with larger distortion is smaller, so that the first threshold range with the largest pixel values is the most accurate, and the central pixel value in the first threshold range is the pixel value with the smallest distortion degree, namely, the pixel value with the smallest distortion degree is selected from the plurality of pixel values to be used as the reference pixel value, and the accuracy of the measured pixel value at the designated position is ensured.
Optionally, the determining a reference pixel value of the plurality of pixel values includes:
selecting two pixel values of a second preset value with a difference value larger than two times from the plurality of pixel values;
calculating the sum of the smaller pixel value of the two pixel values and the second preset value to obtain a first pixel value;
calculating the difference between the larger pixel value of the two pixel values and the second preset value to obtain a second pixel value;
determining a second threshold range based on the first pixel value and the second pixel value;
respectively taking integer values in the second threshold value range as a center, and determining a plurality of third threshold value ranges, wherein the size of each third threshold value range is twice the second preset value;
and setting a central integer value of a third threshold range including a maximum number of pixel values of the plurality of pixel values as a reference pixel value of the plurality of pixel values.
In the embodiment of the present invention, the second preset value is a value determined based on a factor affecting the pixel value of the image, and illustratively, when the pixel distortion correction is performed on the microscopic thermal image by the present invention, the second preset value is a value determined based on the noise of the microscopic thermal image. And when a plurality of groups of two pixel values which accord with a fourth preset value with difference values larger than two times exist in the plurality of pixel values, selecting the two pixel values with the largest difference value. When there are a plurality of third threshold value ranges including the largest pixel value among the plurality of pixel values, an average value of center integer values of the plurality of third threshold value ranges is set as a reference pixel value of the plurality of pixel values.
Illustratively, n frames of continuous images of the detected object are obtained, wherein n is a positive integer greater than 1, and the pixel value of the image with the frame number of 1 at the pixel point A corresponding to the designated pixel position is a1The pixel value of the pixel point A corresponding to the designated pixel position in the image with the frame number of 2 is a2By analogy, the pixel value of the pixel point A corresponding to the appointed pixel position of the image with the frame number n is anDetermining the second preset value as s by calculation2Selecting two pixel values a from the plurality of pixel values2，a8Wherein a is8>a2And a is a8-a2>2s2The second threshold range is formed as [ a ]2+s2,a8-s2]At this time, in the second threshold range [ a ]2+s2,a8-s2]Integer value of c1，c2，……，ctAnd t is a positive integer greater than 1.
By an integer value c1Centered, range size of twice s2Has a second threshold value range of [ c ]1-s2,c1+s2]In integer value c2Centered, range size of twice s2Has a second threshold value range of [ c ]2-s2,c2+s2]By analogy, with integer value ctCentered, range size of twice s2Has a second threshold value range of [ c ]t-s2,ct+s2]；
By comparison, contains a plurality of pixel values a1，a2，……，anThe second threshold range with the largest number is [ c ]3-s2,c3+s2]Then the second threshold range [ c ] is set3-s2,c3+s2]Recording as a third threshold range, and taking the central integer value c of the third threshold range3As a plurality of pixel values a1，a2，……，anThe reference pixel value of (2).
The distortion degree of the pixel values of the pixel points at the designated positions in the multi-frame images is different, and the distortion quantity of the pixel values is small, so that the third threshold range containing the largest pixel values is the most accurate, the central integer value of the third threshold range is the pixel value of the pixel point closest to the pixel at the designated position without distortion, namely the pixel value closest to the pixel at the designated position without distortion can be obtained from the plurality of pixel values, and the pixel value is used as the reference pixel value, so that the accuracy of the measured pixel value at the designated position is ensured.
Optionally, the determining a reference pixel value of the plurality of pixel values includes:
determining a plurality of fourth threshold ranges, each of which has a third preset value, by taking each of the plurality of pixel values as a center;
recording a fourth threshold range containing the largest pixel value among the plurality of pixel values as a fifth threshold range;
determining a plurality of frame images respectively corresponding to the pixel values within the fifth threshold range in the plurality of pixel values;
selecting a group of images with continuous frame numbers and the maximum image frame number from the multi-frame images respectively corresponding to the pixel values within the range of the fifth threshold value in the plurality of pixel values, and marking the group of images as a first group of images;
acquiring pixel values of pixel points corresponding to the appointed pixel positions on each frame of image in the first group of images, and taking the average value of the acquired pixel values as the reference pixel values of the plurality of pixel values;
alternatively, the first and second electrodes may be,
sorting the pixel values obtained this time according to the size of the pixel values to obtain a second pixel value sequence;
determining a median value of the second sequence of pixel values as a reference pixel value of the plurality of pixel values.
In the embodiment of the present invention, the third preset value is a value determined based on a factor affecting the pixel value of the image, and illustratively, when the pixel distortion correction is performed on the microscopic thermal image by the present invention, the third preset value is a value determined based on the noise of the microscopic thermal image. When the number of sequences in the second pixel value sequence is an odd number, the pixel value at the middle position is taken as the median value of the second pixel value sequence, and when the number of sequences in the second pixel value sequence is an even number, the median value of the second pixel value sequence may be any one of two sequence values at the middle position of the second pixel value sequence.
Illustratively, n frames of continuous images of the detected object are obtained, wherein n is a positive integer greater than 1, and the pixel value of the image with the frame number of 1 at the pixel point A corresponding to the designated pixel position is a1The pixel value of the pixel point A corresponding to the designated pixel position in the image with the frame number of 2 is a2By analogy, the pixel value of the pixel point A corresponding to the appointed pixel position of the image with the frame number n is anDetermining the third preset value to be 2s through calculation3From one of a plurality of pixel values, a3Centered, a fourth threshold range of [ a ] is formed3-s3,a3+s3]And includes a plurality of pixel values a1，a2，……，anThe fourth threshold range in which the pixel value is the largest is [ a ]3-s3,a3+s3]Then, the fourth threshold value range [ a ]3-s3,a3+s3]A plurality of pixel values within a fifth threshold range are a2，a3，a4，a7，a8Then, the corresponding image frame numbers are 2, 3, 4, 7 and 8 respectively. Selecting the image frame numbers of the first group of images with the largest image frame number as 2, 3 and 4, and selecting the image frames of the first group of images with the consecutive frame numbersThe pixel value is calculated by applying the following calculation formula to calculate the average value of the pixel values obtained this time:
average value of pixel values obtained this time
As a plurality of pixel values a1，a2，……，anThe reference pixel value of (2).
The maximum number of the pixel values corresponding to each frame of image in the first group of images in the range of the fifth threshold value indicates that the distortion degree of the pixel values corresponding to the group of images is small, the average value of the pixel values corresponding to each frame of image in the group is used as a reference pixel value, or the pixel values corresponding to each frame of image in the group are sequenced according to the size of the pixel values to obtain a second pixel value sequence, the median value of the second pixel value sequence is selected as the reference pixel value, and the pixel value with the minimum distortion degree of the pixel values can be obtained in both modes and is used as the reference pixel value.
Optionally, the determining a reference pixel value of the plurality of pixel values includes:
selecting two pixel values of a fourth preset value with a difference value larger than two times from the plurality of pixel values;
calculating the sum of the smaller pixel value of the two pixel values and the fourth preset value to obtain a third pixel value;
calculating the difference between the larger pixel value of the two pixel values and the fourth preset value to obtain a fourth pixel value;
determining a sixth threshold range based on the third pixel value and the fourth pixel value;
determining a plurality of seventh threshold value ranges by respectively taking integer values in the sixth threshold value ranges as centers, wherein the size of each of the seventh threshold value ranges is twice the fourth preset value;
recording a seventh threshold range, which contains the largest number of pixel values among the plurality of pixel values, as an eighth threshold range;
determining multi-frame images respectively corresponding to the pixel values of the plurality of pixel values within the eighth threshold range;
selecting a group of images with continuous frame numbers and the maximum image frame number from the multi-frame images respectively corresponding to the pixel values within the eighth threshold range in the plurality of pixel values, and marking the group of images as a second group of images;
acquiring pixel values of pixel points corresponding to the appointed pixel positions on each frame of image in the second group of images, and taking the average value of the acquired pixel values as the reference pixel values of the plurality of pixel values;
alternatively, the first and second electrodes may be,
sorting the obtained pixel values according to the size of the pixel values to obtain a third pixel value sequence;
determining a median value of the third sequence of pixel values as a reference pixel value of the plurality of pixel values.
In the embodiment of the present invention, the fourth preset value is a value determined based on a factor affecting the pixel value of the image, and illustratively, when the pixel distortion correction is performed on the microscopic thermal image by the present invention, the fourth preset value is a value determined based on the noise of the microscopic thermal image. And when a plurality of groups of two pixel values which accord with a fourth preset value with difference values larger than two times exist in the plurality of pixel values, selecting the two pixel values with the largest difference value. When the number of sequences in the third sequence of pixel values is an odd number, the pixel value at the middle position is taken as the median value of the third sequence of pixel values, and when the number of sequences in the third sequence of pixel values is an even number, the median value of the third sequence of pixel values may be any one of two sequence values at the middle position of the third sequence of pixel values.
Illustratively, n frames of continuous images of the detected object are obtained, wherein n is a positive integer greater than 1, and the pixel value of the image with the frame number of 1 at the pixel point A corresponding to the designated pixel position is a1The pixel value of the pixel point A corresponding to the designated pixel position in the image with the frame number of 2 is a2The image with the frame number n corresponds to the specified pixel positionThe pixel value of the pixel point A is anDetermining the fourth preset value as s by calculation4Selecting two pixel values a from the plurality of pixel values4，a10Wherein a is10>a4And a is a10-a4>2s4And a sixth threshold range of [ a ]4+s4,a10-s4]；
An integer value in the sixth threshold range of b1，b2，……，bmM is a positive integer greater than 1;
by integer value b1Centered, range size of twice s4Has a seventh threshold value range of [ b ]1-s4,b1+s4]In integer value b2Centered, range size of twice s4Has a seventh threshold value range of [ b ]2-s4,b2+s4]By analogy, by integer value bmCentered, range size of twice s4Has a seventh threshold value range of [ b ]m-s4,bm+s4]；
By comparison, contains a plurality of pixel values a1，a2，……，anThe seventh threshold range with the largest number of [ b ]2-s4,b2+s4]Then the seventh threshold range [ b ] is set2-s4,b2+s4]Recording as an eighth threshold range;
a plurality of pixel values within the eighth threshold value range are a2，a3，a9，a10，a11，a12The corresponding image frame numbers are 2, 3, 9, 10, 11, 12, respectively. Selecting the image frame numbers of the second group of images with continuous frame numbers and the maximum image frame number as 9, 10, 11 and 12, and arranging the pixel values in the second group of images as (a) according to the third pixel value sequence of the sorted pixel values from large to small9，a11，a10，a12) The median value a of the pixel values obtained this time11As a plurality of pixel values a1，a2，……，anThe reference pixel value of (2).
And determining the images with the frame serial numbers as two groups by using the multiple pixel values corresponding to the multiple frames of images within the range of the eighth threshold, so that multiple groups of images with continuous frame serial numbers can be obtained, and selecting one group of continuous images with the frame serial numbers with the largest number as the second group of images.
The maximum number of the pixel values corresponding to each frame of image in the second group of images in the eighth threshold range indicates that the distortion degree of the pixel values corresponding to the group of images is small, the average value of the pixel values corresponding to each frame of image in the group is used as a reference pixel value, or the pixel values corresponding to each frame of image in the second group are sorted according to the size of the pixel values to obtain a third pixel value sequence, and the median value of the third pixel value sequence is selected as the reference pixel value.
Optionally, the multi-frame image is a microscopic thermal image, and after distortion correction is performed on the pixel value of the pixel point corresponding to the specified pixel position based on the reference pixel value, the method further includes:
and obtaining the temperature information of the measured target based on the microscopic thermal image after distortion correction.
In the embodiment of the invention, after the distortion correction is carried out on the pixel value of the microscopic thermal image, the temperature measurement is carried out on the microscopic thermal image after the distortion correction, and the temperature value of the measured target can be accurately obtained.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The following are embodiments of the apparatus of the invention, reference being made to the corresponding method embodiments described above for details which are not described in detail therein.
Fig. 3 is a schematic structural diagram of a pixel distortion correction apparatus provided in an embodiment of the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown, and detailed descriptions are as follows:
as shown in fig. 3, the pixel distortion correction device 3 includes:
a first acquiring unit 301, configured to acquire a plurality of frame images of a target to be measured;
a second obtaining unit 302, configured to obtain pixel values of pixel points corresponding to specified pixel positions on each frame of image, respectively, to obtain a plurality of pixel values;
a determination unit 303 configured to determine a reference pixel value of the plurality of pixel values;
and a distortion correction unit 304, configured to perform distortion correction on a pixel value of a pixel point corresponding to the specified pixel position based on the reference pixel value.
In the present embodiment, correction of pixel distortion is realized by the first acquisition unit 301, the second acquisition unit 302, the determination unit 303, and the distortion correction unit 304.
Optionally, the determining unit 303 is specifically configured to:
sequencing the plurality of pixel values according to the size of the pixel values to obtain a first pixel value sequence;
determining a median value of the first sequence of pixel values as a reference pixel value of the plurality of pixel values.
Optionally, the determining unit 303 is specifically configured to:
determining a plurality of first threshold value ranges of which the range sizes are all first preset values by taking each pixel value in the plurality of pixel values as a center;
a center pixel value of a first threshold range including a largest pixel value among the plurality of pixel values is set as a reference pixel value of the plurality of pixel values.
Optionally, the determining unit 303 is specifically configured to:
selecting two pixel values of a second preset value with a difference value larger than two times from the plurality of pixel values;
calculating the sum of the smaller pixel value of the two pixel values and the second preset value to obtain a first pixel value;
calculating the difference between the larger pixel value of the two pixel values and the second preset value to obtain a second pixel value;
determining a second threshold range based on the first pixel value and the second pixel value;
respectively taking integer values in the second threshold value range as a center, and determining a plurality of third threshold value ranges, wherein the size of each third threshold value range is twice the second preset value;
and setting a central integer value of a third threshold range including a maximum number of pixel values of the plurality of pixel values as a reference pixel value of the plurality of pixel values.
Optionally, the determining unit 303 is specifically configured to:
determining a plurality of fourth threshold ranges, each of which has a third preset value, by taking each of the plurality of pixel values as a center;
recording a fourth threshold range containing the largest pixel value among the plurality of pixel values as a fifth threshold range;
determining a plurality of frame images respectively corresponding to the pixel values within the fifth threshold range in the plurality of pixel values;
the frame numbers selected from the multi-frame images respectively corresponding to the pixel values within the range of the fifth threshold value in the plurality of pixel values are continuous, and one group of images with the largest number of image frames is marked as a first group of images;
acquiring pixel values of pixel points corresponding to the appointed pixel positions on each frame of image in the first group of images, and taking the average value of the acquired pixel values as the reference pixel values of the plurality of pixel values;
alternatively, the first and second electrodes may be,
sorting the obtained pixel values according to the size of the pixel values to obtain a second pixel value sequence;
determining a median value of the second sequence of pixel values as a reference pixel value of the plurality of pixel values.
Optionally, the determining unit 303 is specifically configured to:
selecting two pixel values of a fourth preset value with a difference value larger than two times from the plurality of pixel values;
calculating the sum of the smaller pixel value of the two pixel values and the fourth preset value to obtain a third pixel value;
calculating the difference between the larger pixel value of the two pixel values and the fourth preset value to obtain a fourth pixel value;
determining a sixth threshold range based on the third pixel value and the fourth pixel value;
determining a plurality of seventh threshold value ranges by respectively taking integer values in the sixth threshold value ranges as centers, wherein the size of each of the seventh threshold value ranges is twice the fourth preset value;
recording a seventh threshold range, which contains the largest number of pixel values among the plurality of pixel values, as an eighth threshold range;
determining multi-frame images respectively corresponding to the pixel values of the plurality of pixel values within the eighth threshold range;
the frame numbers selected from the multi-frame images respectively corresponding to the pixel values within the eighth threshold range in the plurality of pixel values are continuous, and one group of images with the largest number of image frames is marked as a second group of images;
acquiring pixel values of pixel points corresponding to the appointed pixel positions on each frame of image in the second group of images, and taking the average value of the acquired pixel values as the reference pixel values of the plurality of pixel values;
alternatively, the first and second electrodes may be,
sorting the obtained pixel values according to the size of the pixel values to obtain a third pixel value sequence;
determining a median value of the third sequence of pixel values as a reference pixel value of the plurality of pixel values.
Optionally, the pixel distortion correction device 3 is specifically configured to:
pixel distortion correction is performed on a multi-frame image of the microscopic thermal image,
accordingly, the pixel distortion correction apparatus 3 further includes:
and a temperature measuring unit 305 for obtaining temperature information of the measured object based on the distortion-corrected microscopic thermal image.
Fig. 4 is a schematic diagram of a terminal according to an embodiment of the present invention. As shown in fig. 4, the terminal 4 of this embodiment includes: a processor 40, a memory 41 and a computer program 42 stored in said memory 41 and executable on said processor 40. The processor 40, when executing the computer program 42, implements the steps in the above-described embodiments of the method for correcting distortion of individual pixels, such as the steps 101 to 104 shown in fig. 1. Alternatively, the processor 40, when executing the computer program 42, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the units 301 to 304 shown in fig. 3.
Illustratively, the computer program 42 may be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 42 in the terminal 4.
The terminal 4 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal may include, but is not limited to, a processor 40, a memory 41. Those skilled in the art will appreciate that fig. 4 is only an example of a terminal 4 and does not constitute a limitation of terminal 4 and may include more or less components than those shown, or some components in combination, or different components, for example, the terminal may also include input output devices, network access devices, buses, etc.
The Processor 40 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the terminal 4, such as a hard disk or a memory of the terminal 4. The memory 41 may also be an external storage device of the terminal 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) and the like provided on the terminal 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the terminal 4. The memory 41 is used for storing the computer program and other programs and data required by the terminal. The memory 41 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other ways. For example, the above-described apparatus/terminal embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (7)
1. A method for correcting distortion of a pixel, the method comprising:
acquiring a multi-frame image of a detected target;
respectively obtaining pixel values of pixel points corresponding to the appointed pixel positions on each frame of image to obtain a plurality of pixel values;
determining a reference pixel value of the plurality of pixel values;
distortion correction is carried out on the pixel value of the pixel point corresponding to the appointed pixel position based on the reference pixel value;
wherein said determining a reference pixel value of said plurality of pixel values comprises,
selecting two pixel values of a second preset value with a difference value larger than two times from the plurality of pixel values;
calculating the sum of the smaller pixel value of the two pixel values and the second preset value to obtain a first pixel value;
calculating the difference between the larger pixel value of the two pixel values and the second preset value to obtain a second pixel value;
determining a second threshold range based on the first pixel value and the second pixel value;
respectively taking integer values in the second threshold value range as a center, and determining a plurality of third threshold value ranges, wherein the size of each third threshold value range is twice the second preset value;
and setting a central integer value of a third threshold range including a maximum number of pixel values of the plurality of pixel values as a reference pixel value of the plurality of pixel values.
2. The method according to claim 1, wherein the determining a reference pixel value of the plurality of pixel values comprises:
sequencing the plurality of pixel values according to the size of the pixel values to obtain a first pixel value sequence;
determining a median value of the first sequence of pixel values as a reference pixel value of the plurality of pixel values.
3. The method according to claim 1, wherein the determining a reference pixel value of the plurality of pixel values comprises:
determining a plurality of first threshold value ranges of which the range sizes are all first preset values by taking each pixel value in the plurality of pixel values as a center;
a center pixel value of a first threshold range including a largest pixel value among the plurality of pixel values is set as a reference pixel value of the plurality of pixel values.
4. The method for correcting pixel distortion according to any one of claims 1 to 3, wherein the multi-frame image is a microscopic thermal image, and after the distortion correction of the pixel value of the pixel point corresponding to the specified pixel position based on the reference pixel value, the method further comprises:
and obtaining the temperature information of the measured target based on the microscopic thermal image after distortion correction.
5. A correction device for distortion of a pixel, comprising:
the device comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring multi-frame images of a detected target;
the second acquisition unit is used for respectively acquiring pixel values of pixel points corresponding to the appointed pixel positions on each frame of image to obtain a plurality of pixel values;
a determination unit configured to determine a reference pixel value of the plurality of pixel values;
the distortion correction unit is used for carrying out distortion correction on the pixel value of the pixel point corresponding to the specified pixel position based on the reference pixel value;
wherein the determining unit is specifically configured to:
selecting two pixel values of a second preset value with a difference value larger than two times from the plurality of pixel values;
calculating the sum of the smaller pixel value of the two pixel values and the second preset value to obtain a first pixel value;
calculating the difference between the larger pixel value of the two pixel values and the second preset value to obtain a second pixel value;
determining a second threshold range based on the first pixel value and the second pixel value;
respectively taking integer values in the second threshold value range as a center, and determining a plurality of third threshold value ranges, wherein the size of each third threshold value range is twice the second preset value;
and setting a central integer value of a third threshold range including a maximum number of pixel values of the plurality of pixel values as a reference pixel value of the plurality of pixel values.
6. A terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of the preceding claims 1 to 4 when executing the computer program.
7. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 4.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110832668.2A CN113962877A (en) | 2019-07-17 | 2019-07-17 | Correction method and correction device for pixel distortion and terminal |
| CN202110832665.9A CN113962876A (en) | 2019-07-17 | 2019-07-17 | Correction method and correction device for pixel distortion and terminal |
| CN201910645948.5A CN110335219B (en) | 2019-07-17 | 2019-07-17 | Correction method and correction device for pixel distortion and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910645948.5A CN110335219B (en) | 2019-07-17 | 2019-07-17 | Correction method and correction device for pixel distortion and terminal |
Related Child Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110832665.9A Division CN113962876A (en) | 2019-07-17 | 2019-07-17 | Correction method and correction device for pixel distortion and terminal |
| CN202110832668.2A Division CN113962877A (en) | 2019-07-17 | 2019-07-17 | Correction method and correction device for pixel distortion and terminal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110335219A CN110335219A (en) | 2019-10-15 |
| CN110335219B true CN110335219B (en) | 2021-09-28 |
Family
ID=68145684
Family Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110832668.2A Pending CN113962877A (en) | 2019-07-17 | 2019-07-17 | Correction method and correction device for pixel distortion and terminal |
| CN202110832665.9A Pending CN113962876A (en) | 2019-07-17 | 2019-07-17 | Correction method and correction device for pixel distortion and terminal |
| CN201910645948.5A Active CN110335219B (en) | 2019-07-17 | 2019-07-17 | Correction method and correction device for pixel distortion and terminal |
Family Applications Before (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110832668.2A Pending CN113962877A (en) | 2019-07-17 | 2019-07-17 | Correction method and correction device for pixel distortion and terminal |
| CN202110832665.9A Pending CN113962876A (en) | 2019-07-17 | 2019-07-17 | Correction method and correction device for pixel distortion and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (3) | CN113962877A (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113392801A (en) * | 2021-06-30 | 2021-09-14 | 深圳市斯博科技有限公司 | Image processing method, system, device and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102651802A (en) * | 2011-02-24 | 2012-08-29 | 索尼公司 | Image processing apparatus and image processing method and program |
| CN102722870A (en) * | 2011-05-26 | 2012-10-10 | 北京泰邦天地科技有限公司 | Geometric distortion and brightness distortion correction method for image in color optoelectronic system |
| CN105894549A (en) * | 2015-10-21 | 2016-08-24 | 乐卡汽车智能科技（北京）有限公司 | Panorama assisted parking system and device and panorama image display method |
| CN108053386A (en) * | 2017-11-27 | 2018-05-18 | 北京理工大学 | For the method and device of image co-registration |
| CN109345461A (en) * | 2018-09-30 | 2019-02-15 | 中国科学院长春光学精密机械与物理研究所 | A kind of image distortion correction method, apparatus, equipment and storage medium |
| CN109472760A (en) * | 2019-02-01 | 2019-03-15 | 深兰人工智能芯片研究院（江苏）有限公司 | A kind of method, apparatus of correcting distorted image |
| CN109712099A (en) * | 2018-12-04 | 2019-05-03 | 山东大学 | Method is equalized based on the sonar image of SLIC and adaptive-filtering |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101470179B (en) * | 2007-12-29 | 2012-06-27 | 西门子（中国）有限公司 | Method and apparatus for distortion calibration in magnetic resonance imaging |
| CN102378002B (en) * | 2010-08-25 | 2016-05-04 | 无锡中感微电子股份有限公司 | Dynamically adjust method and device, block matching method and the device of search window |
| JP5893445B2 (en) * | 2012-03-07 | 2016-03-23 | 株式会社メガチップス | Image processing apparatus and method of operating image processing apparatus |
| CN104361312B (en) * | 2014-10-16 | 2017-11-14 | 北京捷通华声语音技术有限公司 | A kind of method and apparatus that character recognition is carried out to image |
-
2019
- 2019-07-17 CN CN202110832668.2A patent/CN113962877A/en active Pending
- 2019-07-17 CN CN202110832665.9A patent/CN113962876A/en active Pending
- 2019-07-17 CN CN201910645948.5A patent/CN110335219B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102651802A (en) * | 2011-02-24 | 2012-08-29 | 索尼公司 | Image processing apparatus and image processing method and program |
| CN102722870A (en) * | 2011-05-26 | 2012-10-10 | 北京泰邦天地科技有限公司 | Geometric distortion and brightness distortion correction method for image in color optoelectronic system |
| CN105894549A (en) * | 2015-10-21 | 2016-08-24 | 乐卡汽车智能科技（北京）有限公司 | Panorama assisted parking system and device and panorama image display method |
| CN108053386A (en) * | 2017-11-27 | 2018-05-18 | 北京理工大学 | For the method and device of image co-registration |
| CN109345461A (en) * | 2018-09-30 | 2019-02-15 | 中国科学院长春光学精密机械与物理研究所 | A kind of image distortion correction method, apparatus, equipment and storage medium |
| CN109712099A (en) * | 2018-12-04 | 2019-05-03 | 山东大学 | Method is equalized based on the sonar image of SLIC and adaptive-filtering |
| CN109472760A (en) * | 2019-02-01 | 2019-03-15 | 深兰人工智能芯片研究院（江苏）有限公司 | A kind of method, apparatus of correcting distorted image |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113962876A (en) | 2022-01-21 |
| CN110335219A (en) | 2019-10-15 |
| CN113962877A (en) | 2022-01-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107833238B (en) | Maximum connected domain marking method, target tracking method and augmented reality/virtual reality device | |
| CN110969668A (en) | Stereoscopic calibration algorithm of long-focus binocular camera | |
| CN111860398B (en) | Remote sensing image target detection method and system and terminal equipment | |
| CN113240630B (en) | Speckle image quality evaluation method and device, terminal equipment and readable storage medium | |
| CN110335204B (en) | Thermal imaging image enhancement method | |
| CN111667448A (en) | Image processing method, device and equipment | |
| CN108182708B (en) | Calibration method and calibration device of binocular camera and terminal equipment | |
| US20230214989A1 (en) | Defect detection method, electronic device and readable storage medium | |
| CN109949306B (en) | Reflecting surface angle deviation detection method, terminal device and storage medium | |
| CN112561940A (en) | Dense multi-target parameter extraction method and device and terminal equipment | |
| CN111079893B (en) | Acquisition method and device for generator network for interference fringe pattern filtering | |
| CN110475078B (en) | Camera exposure time adjusting method and terminal equipment | |
| CN114862929A (en) | Three-dimensional target detection method and device, computer readable storage medium and robot | |
| CN110335219B (en) | Correction method and correction device for pixel distortion and terminal | |
| CN108734745B (en) | Calibration method and device and projection equipment | |
| CN110207842B (en) | Correction method for sub-pixel level edge effect and terminal equipment | |
| CN112381177A (en) | Dial digital character recognition method and system based on deep learning | |
| CN109801428B (en) | Method and device for detecting edge straight line of paper money and terminal | |
| CN112345090A (en) | Method and device for measuring infrared radiation of point target and readable storage medium | |
| CN107734324B (en) | Method and system for measuring illumination uniformity of flash lamp and terminal equipment | |
| CN113884188B (en) | Temperature detection method and device and electronic equipment | |
| CN113920305A (en) | Lightning arrester instrument identification method and device | |
| JP7003291B2 (en) | Correction method and device for correcting image data | |
| CN112146834A (en) | Method and device for measuring structural vibration displacement | |
| CN110310313B (en) | Image registration method, image registration device and terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |