CN106373139A - Image processing method and device - Google Patents

Image processing method and device Download PDF

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Publication number
CN106373139A
CN106373139A CN201610687861.0A CN201610687861A CN106373139A CN 106373139 A CN106373139 A CN 106373139A CN 201610687861 A CN201610687861 A CN 201610687861A CN 106373139 A CN106373139 A CN 106373139A
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image
foreground
pixel
frame
neighborhood
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雷延强
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Guangzhou Shiyuan Electronics Thecnology Co Ltd
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Guangzhou Shiyuan Electronics Thecnology Co Ltd
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Priority to CN201610687861.0A priority Critical patent/CN106373139A/en
Priority to PCT/CN2016/113503 priority patent/WO2018032702A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/194—Segmentation; Edge detection involving foreground-background segmentation

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  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
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  • Image Analysis (AREA)

Abstract

The invention provides an image processing method, which comprises the following steps: displaying a preset foreground frame on a shooting interface of the camera equipment; positioning a shooting object according to the foreground frame, and shooting an image; segmenting the foreground of the shot image according to the local image framed and selected in the shot image by the foreground frame; and intercepting a rectangular image containing the smallest area of the foreground from the shot image, and generating a final output image according to the rectangular image. Correspondingly, the invention also provides an image processing device. The image processing method and the image processing device capture image information from the foreground frame during photographing, divide the foreground of the image by using the captured image information, obtain an output image according to the rectangular image with the smallest area of the foreground, automatically remove the background, only store the content which is interested by a user, save the storage space of electronic equipment and save the cost of manual post-editing.

Description

Image processing method and device
Technical Field
The present invention relates to the field of information processing, and in particular, to an image processing method and apparatus.
Background
With the development of electronic technology, a photographing function is added to a large number of electronic devices. In the photographing process, people only want to store interested contents, for example, when participating in some discussion conferences, a presenter shares a presentation through a projector, and people want to record conference contents and therefore need to shoot the presentation for later arrangement, but are not interested in the background of the presentation. Because the background removal in the prior art can only adopt a manual post-editing mode and cannot automatically complete the background removal in the shooting process, some redundant information needs to be stored, and the storage space of the electronic equipment is wasted; the need for manual editing at the later stage is also troublesome.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an image processing method and an image processing device, which can save the storage space of electronic equipment and avoid the trouble of manual post-editing.
The invention provides an image processing method, which comprises the following steps:
displaying a preset foreground frame on a shooting interface of the camera equipment;
positioning a shooting object according to the foreground frame, and shooting an image;
segmenting the foreground of the shot image according to the local image framed and selected in the shot image by the foreground frame;
and intercepting a rectangular image containing the smallest area of the foreground from the shot image, and generating a final output image according to the rectangular image.
The implementation of the invention has the following beneficial effects:
the image processing method provided by the invention captures the image information from the foreground frame during photographing, utilizes the captured image information to segment the foreground of the image, obtains the output image according to the rectangular image with the smallest area containing the foreground, automatically removes the background, only stores the content which is interested by the user, saves the storage space of the electronic equipment and also avoids the trouble of manual post-editing.
Further, segmenting the foreground of the captured image according to the local image framed by the foreground frame in the captured image specifically includes:
taking a local image framed and selected by the foreground frame in the shot image as an initial seed area;
judging whether the neighborhood pixels of the edge pixels of the current seed region are foreground pixels according to a preset probability algorithm;
if any neighborhood pixel is a foreground pixel, updating the current seed region into a set of the foreground pixel and the original seed region;
and if all the neighborhood pixels are not foreground pixels, segmenting the current seed region as the foreground of the shot image.
In a further scheme, a local image selected by a foreground frame is taken as a seed region, a probability algorithm is combined to be taken as a judgment criterion of region growth, the algorithm is simple, the calculated amount is low, and the method can be realized on common electronic camera equipment, such as a mobile phone and a camera. The method is suitable for the situation that the background is single and unchanged, can meet the basic requirement of foreground segmentation, can reduce the calculation amount of the algorithm to the maximum extent, and improves the operability.
Further, the determining, according to a preset probability algorithm, whether a neighborhood pixel of an edge pixel of the current seed region is a foreground pixel specifically includes:
calculating the mean mu and variance sigma of the characteristic values of all pixels in the current seed region2Which isIn (1),xithe characteristic value of the ith pixel of the seed area is obtained;
calculating the probability density value p (x) of the foreground pixel of the neighborhood pixels of the edge pixels of the seed region; wherein,x is the characteristic value of the neighborhood pixels;
if the probability density value p (x) of the neighborhood pixel as a foreground pixel is greater than or equal to a preset threshold value, the neighborhood pixel is a foreground pixel;
if the probability density value p (x) of the neighborhood pixel being a foreground pixel is less than a preset threshold value, the neighborhood pixel is not a foreground pixel.
In a further scheme, because the characteristic values of the general images are continuously distributed, the Gaussian model is the simplest continuous distribution probability density function, and the Gaussian model is used as a judgment criterion of a region growing method, so that the calculation amount of the algorithm is further reduced.
Preferably, the characteristic value is a luminance value.
For the presentation files shared by the speakers shot in the occasions such as conferences and lectures, the foreground can be better segmented by taking the brightness value as the characteristic value because the brightness of the presentation files is higher and the background is darker.
Further, the intercepting a rectangular image containing the smallest area of the foreground from the captured image and generating a final output image according to the rectangular image specifically includes:
intercepting a rectangular image containing the smallest area of the foreground from the shot image, and displaying a screenshot frame corresponding to the rectangular image on the shot image; wherein the cutout frame comprises control points for a user to adjust the size and the position of the cutout frame;
receiving the movement operation of a user on the control point, and adjusting the size and the position of the cutout frame according to the movement operation;
receiving confirmation information of a user on the completion of image processing, and taking an image intercepted by the screenshot frame as a final output image;
or, the capturing a rectangular image containing the smallest area of the foreground from the captured image, and generating a final output image according to the rectangular image includes:
and intercepting a rectangular image containing the smallest area of the foreground from the shot image, and taking the rectangular image as a final output image.
In a further scheme, a rectangular image with the smallest area of the foreground can be directly intercepted from a shot image to serve as an output image, so that the method is quick and effective; the screenshot box with adjustable size and position can also be output, so that the user can adjust the output image under the condition that the foreground is complex and the segmentation is possibly inaccurate, and the user experience is improved.
Accordingly, the present invention also provides an image processing apparatus comprising:
the foreground frame calling module is used for displaying a preset foreground frame on a shooting interface of the camera equipment;
the image acquisition module is used for positioning a shooting object according to the foreground frame and shooting an image;
the foreground segmentation module is used for segmenting the foreground of the shot image according to the local image framed and selected by the foreground frame in the shot image;
and the output module is used for intercepting a rectangular image containing the smallest area of the foreground from the shot image and generating a final output image according to the rectangular image.
Further, the foreground segmentation module includes:
the initialization unit is used for taking a local image framed and selected by the foreground frame in the shot image as an initial seed area;
the foreground judging unit is used for judging whether the neighborhood pixels of the edge pixels of the current seed region are foreground pixels according to a preset probability algorithm;
the seed area updating unit is used for updating the current seed area into a set of the foreground pixel and the original seed area if any neighborhood pixel is a foreground pixel;
and the segmentation unit is used for segmenting the current seed area as the foreground of the shot image if all the neighborhood pixels are not foreground pixels.
Further, the foreground judging unit includes:
a parameter calculation unit for calculating the mean value μ and variance σ of the feature values of all pixels in the current seed region2Whereinxithe characteristic value of the ith pixel of the seed area is obtained;
a probability calculation unit, configured to calculate a probability density value p (x) that a neighborhood pixel of an edge pixel of the seed region is a foreground pixel; wherein,x is the characteristic value of the neighborhood pixels;
a foreground confirming unit, configured to determine that the neighborhood pixel is a foreground pixel if a probability density value p (x) of the neighborhood pixel being a foreground pixel is greater than or equal to a preset threshold;
and the foreground negation unit is used for judging that the neighborhood pixel is not the foreground pixel if the probability density value p (x) of the neighborhood pixel as the foreground pixel is smaller than a preset threshold value.
Preferably, the characteristic value is a luminance value.
Further, the output module includes:
a screenshot frame display unit, configured to capture a rectangular image with a smallest area including the foreground from the captured image, and display a screenshot frame corresponding to the rectangular image on the captured image; wherein the cutout frame comprises control points for a user to adjust the size and the position of the cutout frame;
the adjusting unit is used for receiving the moving operation of a user on the control point and adjusting the size and the position of the cutout frame according to the moving operation;
the image output unit is used for receiving confirmation information of image processing completion of a user, and the image intercepted by the screenshot frame is taken as a final output image;
alternatively, the output module includes: and the rectangular image output unit is used for intercepting a rectangular image containing the smallest area of the foreground from the shot image and taking the rectangular image as a finally output image.
Drawings
FIG. 1 is a flow chart of an image processing method provided by the present invention;
FIG. 2 is a schematic image diagram of an image processing method provided by the present invention;
fig. 3 is a structural diagram of an image processing apparatus according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, it is a flowchart of an image processing method provided by the present invention, including:
s1, displaying a preset foreground frame on a shooting interface of the camera equipment;
s2, positioning the shooting object according to the foreground frame, and shooting an image;
s3, segmenting the foreground of the shot image according to the local image framed and selected in the shot image by the foreground frame;
and S4, intercepting a rectangular image containing the smallest area of the foreground from the shot image, and generating a final output image according to the rectangular image.
Referring to fig. 2, which is a schematic image segmentation diagram of the image processing method provided by the present invention, an outer frame of a region c in the diagram is a preset foreground frame, and when a user uses a shooting device, the user can position a shooting object by moving the shooting device or moving the foreground frame, so as to shoot an image. Assuming that a region a in the image is a captured image and a region b is a foreground of the captured image, the region b may be gradually segmented according to a local image in the region c, and then a rectangular image (shown as a dashed-line frame region in fig. 2) including the region b with the smallest area is captured from the region a, and a final output image is generated according to the rectangular image.
The image processing method provided by the invention captures the image information from the foreground frame during photographing, utilizes the captured image information to segment the foreground of the image, obtains the output image according to the rectangular image with the smallest area containing the foreground, automatically removes the background, only stores the content which is interested by the user, saves the storage space of the electronic equipment and also avoids the trouble of manual post-editing.
In specific implementation, in step S3, "the foreground of the captured image is segmented according to the local image framed by the foreground frame in the captured image", different front-background segmentation methods may be used to segment the foreground of the captured image. Typically, a region growing method can be adopted, and by using different region growing criteria, the foreground of the shot image can be segmented by various implementation modes. Preferably, step S3 specifically includes:
taking a local image framed and selected by the foreground frame in the shot image as an initial seed area;
judging whether the neighborhood pixels of the edge pixels of the current seed region are foreground pixels according to a preset probability algorithm;
if any neighborhood pixel is a foreground pixel, updating the current seed region into a set of the foreground pixel and the original seed region;
and if all the neighborhood pixels are not foreground pixels, segmenting the current seed region as the foreground of the shot image.
In the above embodiment, the local image framed and selected by the foreground frame is used as the seed region, and the probability algorithm is used as the judgment criterion for region growth, so that the algorithm is simple, the calculation amount is low, and the method can be implemented on common electronic camera equipment, such as a mobile phone and a camera. The method is suitable for the situation that the background is single and unchanged, can meet the basic requirement of foreground segmentation, can reduce the calculation amount of the algorithm to the maximum extent, and improves the operability.
In other embodiments, a representative pixel in the local image framed by the foreground frame may also be used as a seed pixel, and the foreground may be segmented by using another region growing criterion (e.g., whether a difference between a feature value of a neighboring pixel and a feature value of the seed pixel is smaller than a threshold). The method is selected according to actual application scenes.
Further, in a preferred embodiment, the determining, according to a preset probability algorithm, whether a neighborhood pixel of an edge pixel of the current seed region is a foreground pixel further includes:
calculating the mean mu and variance sigma of the characteristic values of all pixels in the current seed region2Whereinxithe characteristic value of the ith pixel of the seed area is obtained;
calculating the probability density value p (x) of the foreground pixel of the neighborhood pixels of the edge pixels of the seed region; wherein,x is the characteristic value of the neighborhood pixels;
if the probability density value p (x) of the neighborhood pixel as a foreground pixel is greater than or equal to a preset threshold value, the neighborhood pixel is a foreground pixel;
if the probability density value p (x) of the neighborhood pixel being a foreground pixel is less than a preset threshold value, the neighborhood pixel is not a foreground pixel.
In a further scheme, a Gaussian model is used as a judgment criterion of the region growing method, the Gaussian model is the simplest and the calculation amount of the algorithm is further reduced. When calculating whether the neighborhood pixels of the edge pixels of the seed region are foreground pixels, 4 neighborhood pixels can be calculated, and 8 neighborhood pixels can also be calculated. The 4-neighborhood pixels are adopted, so that the calculation amount can be further reduced, and the method is suitable for images with obvious foreground and background boundaries; and 8 neighborhood pixels are adopted, so that the method is more accurate.
Preferably, the characteristic value is a luminance value.
For the presentation files shared by the speakers shot in the occasions such as conferences and lectures, the foreground can be better segmented by taking the brightness value as the characteristic value because the brightness of the presentation files is higher and the background is darker.
In specific implementation, step S4 "may also be implemented in various ways, such as" capturing a rectangular image with the smallest area including the foreground from the captured image, and generating a final output image according to the rectangular image ";
in one embodiment, a rectangular image containing the smallest area of the foreground can be cut from the captured image, and the rectangular image is used as a final output image, so that the segmentation is quick and convenient.
In another embodiment, step S4 specifically includes:
intercepting a rectangular image containing the smallest area of the foreground from the shot image, and displaying a screenshot frame corresponding to the rectangular image on the shot image; wherein the cutout frame comprises control points for a user to adjust the size and the position of the cutout frame; receiving the movement operation of a user on the control point, and adjusting the size and the position of the cutout frame according to the movement operation; and receiving confirmation information of the user on the completion of the image processing, and taking the image intercepted by the screenshot frame as a final output image.
By outputting the screenshot frame with adjustable size and position, the user can adjust the output image under the condition that the foreground is complex and the segmentation is possibly inaccurate, and the user experience is improved.
Referring to fig. 3, the present invention provides a structure of an image processing apparatus, including:
the foreground frame calling module 1 is used for displaying a preset foreground frame on a shooting interface of the camera equipment;
the image acquisition module 2 is used for positioning a shooting object according to the foreground frame and shooting an image;
the foreground segmentation module 3 is used for segmenting the foreground of the shot image according to the local image framed and selected by the foreground frame in the shot image;
and the output module 4 is used for intercepting a rectangular image containing the smallest area of the foreground from the shot image and generating a final output image according to the rectangular image.
Further, the foreground segmentation module 3 includes:
the initialization unit is used for taking a local image framed and selected by the foreground frame in the shot image as an initial seed area;
the foreground judging unit is used for judging whether the neighborhood pixels of the edge pixels of the current seed region are foreground pixels according to a preset probability algorithm;
the seed area updating unit is used for updating the current seed area into a set of the foreground pixel and the original seed area if any neighborhood pixel is a foreground pixel;
and the segmentation unit is used for segmenting the current seed area as the foreground of the shot image if all the neighborhood pixels are not foreground pixels.
Further, the foreground judging unit includes:
a parameter calculation unit for calculating the mean value μ and variance σ of the feature values of all pixels in the current seed region2Whereinxithe characteristic value of the ith pixel of the seed area is obtained;
a probability calculation unit, configured to calculate a probability density value p (x) that a neighborhood pixel of an edge pixel of the seed region is a foreground pixel; wherein,x is the characteristic value of the neighborhood pixels;
a foreground confirming unit, configured to determine that the neighborhood pixel is a foreground pixel if a probability density value p (x) of the neighborhood pixel being a foreground pixel is greater than or equal to a preset threshold;
and the foreground negation unit is used for judging that the neighborhood pixel is not the foreground pixel if the probability density value p (x) of the neighborhood pixel as the foreground pixel is smaller than a preset threshold value.
Preferably, the characteristic value is a luminance value.
Further, the output module 4 includes:
a screenshot frame display unit, configured to capture a rectangular image with a smallest area including the foreground from the captured image, and display a screenshot frame corresponding to the rectangular image on the captured image; wherein the cutout frame comprises control points for a user to adjust the size and the position of the cutout frame;
the adjusting unit is used for receiving the moving operation of a user on the control point and adjusting the size and the position of the cutout frame according to the moving operation;
the image output unit is used for receiving confirmation information of image processing completion of a user, and the image intercepted by the screenshot frame is taken as a final output image;
alternatively, the output module includes: and the rectangular image output unit is used for intercepting a rectangular image containing the smallest area of the foreground from the shot image and taking the rectangular image as a finally output image.
The image processing method and the device provided by the invention have the advantages that the image information is captured by the foreground frame during photographing, the foreground of the image is segmented by utilizing the captured image information, the output image is obtained according to the rectangular image with the smallest area containing the foreground, the background is automatically removed, only the content which is interested by a user is stored, the storage space of the electronic equipment is saved, and the trouble of manual post-editing is avoided.
The foregoing is a preferred embodiment of the present invention, and it should be noted that modifications and variations can be made by those skilled in the art without departing from the principle of the present invention, and these modifications and variations are also considered as the protection scope of the present invention.

Claims (10)

1. An image processing method, comprising:
displaying a preset foreground frame on a shooting interface of the camera equipment;
positioning a shooting object according to the foreground frame, and shooting an image;
segmenting the foreground of the shot image according to the local image framed and selected in the shot image by the foreground frame;
and intercepting a rectangular image containing the smallest area of the foreground from the shot image, and generating a final output image according to the rectangular image.
2. The image processing method according to claim 1, wherein the segmenting the foreground of the captured image according to the local image framed by the foreground frame in the captured image specifically comprises:
taking a local image framed and selected by the foreground frame in the shot image as an initial seed area;
judging whether the neighborhood pixels of the edge pixels of the current seed region are foreground pixels according to a preset probability algorithm;
if any neighborhood pixel is a foreground pixel, updating the current seed region into a set of the foreground pixel and the original seed region;
and if all the neighborhood pixels are not foreground pixels, segmenting the current seed region as the foreground of the shot image.
3. The image processing method according to claim 2, wherein the determining, according to a preset probability algorithm, whether a neighborhood pixel of an edge pixel of the current seed region is a foreground pixel specifically includes:
calculating the mean mu and variance sigma of the characteristic values of all pixels in the current seed region2Whereinxithe characteristic value of the ith pixel of the seed area is obtained;
calculating the probability density value p (x) of the foreground pixel of the neighborhood pixels of the edge pixels of the seed region; wherein,x is the characteristic value of the neighborhood pixels;
if the probability density value p (x) of the neighborhood pixel as a foreground pixel is greater than or equal to a preset threshold value, the neighborhood pixel is a foreground pixel;
if the probability density value p (x) of the neighborhood pixel being a foreground pixel is less than a preset threshold value, the neighborhood pixel is not a foreground pixel.
4. The image processing method according to claim 3, wherein the feature value is a luminance value.
5. The image processing method according to any one of claims 1 to 4, wherein the intercepting a rectangular image containing the smallest area of the foreground from the captured image and generating a final output image according to the rectangular image specifically includes:
intercepting a rectangular image containing the smallest area of the foreground from the shot image, and displaying a screenshot frame corresponding to the rectangular image on the shot image; wherein the cutout frame comprises control points for a user to adjust the size and the position of the cutout frame;
receiving the movement operation of a user on the control point, and adjusting the size and the position of the cutout frame according to the movement operation;
receiving confirmation information of a user on the completion of image processing, and taking an image intercepted by the screenshot frame as a final output image;
or, the capturing a rectangular image containing the smallest area of the foreground from the captured image, and generating a final output image according to the rectangular image includes:
and intercepting a rectangular image containing the smallest area of the foreground from the shot image, and taking the rectangular image as a final output image.
6. An image processing apparatus characterized by comprising:
the foreground frame calling module is used for displaying a preset foreground frame on a shooting interface of the camera equipment;
the image acquisition module is used for positioning a shooting object according to the foreground frame and shooting an image;
the foreground segmentation module is used for segmenting the foreground of the shot image according to the local image framed and selected by the foreground frame in the shot image;
and the output module is used for intercepting a rectangular image containing the smallest area of the foreground from the shot image and generating a final output image according to the rectangular image.
7. The image processing apparatus of claim 6, wherein the foreground segmentation module comprises:
the initialization unit is used for taking a local image framed and selected by the foreground frame in the shot image as an initial seed area;
the foreground judging unit is used for judging whether the neighborhood pixels of the edge pixels of the current seed region are foreground pixels according to a preset probability algorithm;
the seed area updating unit is used for updating the current seed area into a set of the foreground pixel and the original seed area if any neighborhood pixel is a foreground pixel;
and the segmentation unit is used for segmenting the current seed area as the foreground of the shot image if all the neighborhood pixels are not foreground pixels.
8. The image processing apparatus according to claim 7, wherein the foreground judging unit includes:
a parameter calculation unit for calculating the mean value μ and variance σ of the feature values of all pixels in the current seed region2Whereinxithe characteristic value of the ith pixel of the seed area is obtained;
a probability calculation unit, configured to calculate a probability density value p (x) that a neighborhood pixel of an edge pixel of the seed region is a foreground pixel; wherein,x is the characteristic value of the neighborhood pixels;
a foreground confirming unit, configured to determine that the neighborhood pixel is a foreground pixel if a probability density value p (x) of the neighborhood pixel being a foreground pixel is greater than or equal to a preset threshold;
and the foreground negation unit is used for judging that the neighborhood pixel is not the foreground pixel if the probability density value p (x) of the neighborhood pixel as the foreground pixel is smaller than a preset threshold value.
9. The image processing apparatus according to claim 8, wherein the feature value is a luminance value.
10. The image processing apparatus according to any one of claims 6 to 9, wherein the output module includes:
a screenshot frame display unit, configured to capture a rectangular image with a smallest area including the foreground from the captured image, and display a screenshot frame corresponding to the rectangular image on the captured image; wherein the cutout frame comprises control points for a user to adjust the size and the position of the cutout frame;
the adjusting unit is used for receiving the moving operation of a user on the control point and adjusting the size and the position of the cutout frame according to the moving operation;
the image output unit is used for receiving confirmation information of image processing completion of a user, and the image intercepted by the screenshot frame is taken as a final output image;
alternatively, the output module includes:
and the rectangular image output unit is used for intercepting a rectangular image containing the smallest area of the foreground from the shot image and taking the rectangular image as a finally output image.
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