CN111079738B - Image processing method, system and terminal equipment - Google Patents
Image processing method, system and terminal equipment Download PDFInfo
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- CN111079738B CN111079738B CN201911160211.0A CN201911160211A CN111079738B CN 111079738 B CN111079738 B CN 111079738B CN 201911160211 A CN201911160211 A CN 201911160211A CN 111079738 B CN111079738 B CN 111079738B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/24—Aligning, centring, orientation detection or correction of the image
- G06V10/243—Aligning, centring, orientation detection or correction of the image by compensating for image skew or non-uniform image deformations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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Abstract
The application is applicable to the technical field of image processing, and provides an image processing method, an image processing system and terminal equipment, wherein the method comprises the following steps: obtaining an image to be processed by scanning an original image or photographing the original image; acquiring the outline of an image to be processed so as to cut the outline to obtain a cut image; if the ground color exists in the image to be processed, extracting an RGB color space and a YCbCr color space of the cut image, and converting the cut image in the RGB color space and the YCbCr color space twice to obtain the image with the ground color removed. The method can remarkably remove the background color of the image, perform inclination calibration and clipping, and improve the image quality.
Description
Technical Field
The present application relates to the field of image processing, and in particular, to an image processing method, an image processing system, a terminal device, and a computer readable storage medium.
Background
At present, it is becoming more and more common to scan or photograph document materials and the like by using a scanner, a mobile phone, a camera or the like to complete the electronic or information transmission of the materials. However, due to equipment, illumination, the document itself, etc., scanned or photographed document images often have ground color affecting print quality on the one hand and subsequent OCR recognition on the other hand.
In addition, the document image often has problems such as black edges and other areas which are not interesting by users, inclination and the like, and the user experience is affected.
Therefore, a new technical solution is needed to solve the above technical problems.
Disclosure of Invention
In view of this, embodiments of the present application provide an image processing method, system, and terminal device, so as to solve the problem in the prior art that an ideal image cannot be obtained when an image is acquired by scanning or shooting.
A first aspect of an embodiment of the present application provides an image processing method, including:
obtaining an image to be processed by scanning an original image or photographing the original image;
acquiring the outline of the image to be processed so as to cut the outline to obtain a cut image;
detecting whether a ground color exists in the cut image, wherein the ground color refers to a part which is not contained in the original image;
if the color space exists, the RGB color space and the YCbCr color space of the cut image are extracted, and the cut image is converted in the RGB color space and the YCbCr color space for two times, so that the image with the ground color removed is obtained.
Optionally, the acquiring the contour of the image to be processed to crop the contour includes:
acquiring the outline of an original image corresponding to the image to be processed;
acquiring edge lines corresponding to the contours and intersection points among the edge lines through Hough transformation;
and mapping transformation is carried out according to the edge line and the intersection point so as to carry out inclination correction on the image to be processed and cut.
Optionally, the acquiring the outline of the original image corresponding to the image to be processed includes:
if the image to be processed is a color image, graying the image to be processed;
and binarizing the gray-level image to be processed by using an Ojin method, and carrying out morphological operation to obtain the outline of the image to be processed.
Optionally, the acquiring, by hough transform, the edge line corresponding to the contour and the intersection point between the edge lines includes:
detecting edge lines of the image to be processed through Hough transformation;
selecting a straight line part in the edge line according to a preset condition;
and determining the intersection point between the straight lines according to the selected straight lines.
Optionally, the twice converting the cropped image in the RGB color space and the YCbCr color space includes:
converting the cut image from RGB color space to YCbCr color space, and extracting each component;
scaling and filtering the Y component to obtain a transformation component G, converting the Y component and the transformation component G into a floating point number matrix, dividing the two to obtain M=Y/G, and converting the M=Y/G back into an integer matrix;
and combining Y, cb and Cr, performing Gamma transformation, and converting the image to be processed from the YCbCr color space back to the RGB color space.
Optionally, the converting the image to be processed from YCbCr color space back to RGB color space further includes:
and correcting and filling the image after converting the RGB color space, and removing redundant areas.
A second aspect of an embodiment of the present application provides an image processing system including:
the image acquisition unit is used for acquiring an image to be processed in a mode of scanning an original image or photographing the original image;
the clipping unit is used for acquiring the outline of the image to be processed so as to clip the outline of the image to be processed, and obtaining a clipped image;
a detection unit that detects whether or not there is a ground color in the cut image, the ground color being a portion that is not included in the original image;
the base color removing unit is used for extracting an RGB color space and a YCbCr color space of the cut image, and converting the cut image in the RGB color space and the YCbCr color space twice to obtain an image with the base color removed.
Optionally, the clipping unit is specifically configured to:
acquiring the outline of an original image corresponding to the image to be processed;
acquiring edge lines corresponding to the contours and intersection points among the edge lines through Hough transformation;
and mapping transformation is carried out according to the edge line and the intersection point so as to carry out inclination correction on the image to be processed and cut.
A third aspect of an embodiment of the present application provides a terminal device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method mentioned in the first aspect when executing the computer program.
A fourth aspect of an embodiment of the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of the first aspect.
Compared with the prior art, the embodiment of the application has the beneficial effects that: in the application, after the image to be processed is acquired, the image is corrected and cut, and then the background color is removed to obtain an ideal image. The method can remarkably remove the background color of the image, perform inclination calibration and clipping, and improve the image quality.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an implementation of an image processing method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an image to be processed according to an embodiment of the present application;
FIG. 3 is a corrected, cropped image to be processed according to an embodiment of the present application;
FIG. 4 is a schematic illustration of an image with background color provided by an embodiment of the present application;
FIG. 5 is a schematic diagram of an image processing system according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application 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 application with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
In order to illustrate the technical scheme of the application, the following description is made by specific examples.
Embodiment one:
fig. 1 is a flowchart of a method for processing an image according to an embodiment of the present application, where the method may include the following steps:
s11: and obtaining the image to be processed by scanning the original image or photographing the original image.
S12: and acquiring the outline of the image to be processed so as to cut the outline of the image to be processed, and obtaining a cut image.
Specifically: the method comprises the steps of obtaining the outline of an original image contained in an image to be processed, obtaining the region of interest and the intersection point coordinates through Hough transformation, correcting and cutting through mapping transformation.
Furthermore, the image to be processed is subjected to self-adaptive binarization and morphological processing, and the maximum outline is obtained. Performing Hough transformation on the image to be processed to obtain four edge straight lines; and determining four intersection point coordinates according to the edge straight line, and performing inclination correction and clipping on the image by using mapping transformation.
S13: and detecting whether the ground color exists in the cut image, wherein the ground color refers to a part which is not contained in the original image.
S14: and when the ground color exists, extracting an RGB color space and a YCbCr color space of the cut image, and performing twice conversion on the cut image in the RGB color space and the YCbCr color space to obtain the image with the ground color removed.
Specifically, converting the original image from a first color space to a second color space; performing under color removal processing on the original image in the second color space; converting the image from the second color space back to the first color space; and filling the image, and removing non-interested areas such as black edges. The first color space is an RGB color space and the second color space is a YCbCr color space.
Further, the removing the background color of the original image in the second color space includes: image scaling is carried out on the image M in the second color space, and Gaussian filtering is carried out on the Y component to obtain G; g, recovering the image, and removing the ground color to obtain an image M=Y/G; the second color space is converted into the first color space; contrast adjustment is performed to convert the image between different color spaces.
Compared with the prior art, the embodiment of the application has the beneficial effects that: in the application, after the image to be processed is acquired, the image is corrected and cut, and then the background color is removed to obtain an ideal image. The method can remarkably remove the background color of the image, perform inclination calibration and clipping, and improve the image quality.
Embodiment two:
the above process is described in steps with reference to specific examples below:
referring to fig. 2 to 4, the method for rapidly correcting document images according to the present application comprises the steps of:
step 101, acquiring an image to be processed, as shown in fig. 2;
step 102, performing oblique clipping processing on an input image to be processed, wherein fig. 3 is a clipped image to be processed;
specifically, the method comprises the following steps:
step 1021, graying the image to be processed when the image to be processed is a color image;
step 1022, binarizing the gray-level image by using the Ojin method, and performing morphological operation;
step 1023, obtaining an outer contour of the image to be processed;
step 1024, detecting edge lines by hough transform, setting threshold conditions and removing non-conforming lines;
and 1025, determining four intersection point coordinates according to the edge straight line, and performing inclination correction and clipping on the image by using mapping transformation.
Step 103, performing under color removal treatment on the image obtained in the step 102;
specifically, the method comprises the following steps:
step 1031, converting the RGB color space of the image into YCbCr color space;
step 1032, separating the color space, scaling the Y component to improve the rapidity;
step 1033, gaussian filtering is carried out on the scaled Y, the kernel size is smaller than the width of the Y and the height of the Y, G is obtained after filtering, and the original size is recovered;
step 1034, converting Y and G into floating point number matrix, dividing the two to obtain m=y/G, and converting back into integer matrix;
step 1035, merging Y, cb and Cr of the image and performing Gamma transformation;
step 1036, converting the image from the YCbCr color space back to the RGB color space;
step 1037, correcting the image color;
at step 1037, the image is filled in, and areas such as black edges that are not of interest are removed to obtain an ideal picture (fig. 4 shows the de-background image).
Example III
Fig. 5 is a schematic structural diagram of an image processing system according to the third embodiment of the present application, and for convenience of explanation, only a portion related to the embodiment of the present application is shown.
The image processing system may be a software unit, a hardware unit or a combination of both a software unit and a hardware unit built into the terminal device.
The image processing system includes:
an image acquisition unit 51 for acquiring an image to be processed by scanning or photographing an original image;
the clipping unit 52 is configured to acquire a contour of the image to be processed to clip the contour to obtain a clipped image;
a detection unit 53 that detects whether or not there is a ground color in the cut image, the ground color being a portion not included in the original image;
the base color removing unit 54 is configured to extract an RGB color space and a YCbCr color space of the cropped image, and perform two conversions on the cropped image in the RGB color space and the YCbCr color space, so as to obtain an image with the base color removed.
Optionally, the clipping unit 52 is specifically configured to:
acquiring the outline of an original image corresponding to the image to be processed;
acquiring edge lines corresponding to the contours and intersection points among the edge lines through Hough transformation;
and mapping transformation is carried out according to the edge line and the intersection point so as to carry out inclination correction on the image to be processed and cut.
The specific working process of the image processing system refers to the implementation process of the image processing method, and is not described herein.
Example IV
Fig. 6 is a schematic structural diagram of a terminal device according to a fourth embodiment of the present application. As shown in fig. 6, the terminal device 6 of this embodiment includes: a processor 60, a memory 61 and a computer program 62 stored in said memory 61 and executable on said processor 60. The processor 60, when executing the computer program 62, implements the steps of the first embodiment of the method described above, such as steps S11 to S14 shown in fig. 1. The processor 60, when executing the computer program 62, performs the functions of the modules/units of the device embodiments described above, such as the functions of the units 51 to 54 shown in fig. 5.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (9)
1. An image processing method, characterized in that the image processing method comprises:
obtaining an image to be processed by scanning an original image or photographing the original image;
acquiring the outline of the image to be processed so as to cut the outline to obtain a cut image;
detecting whether a ground color exists in the cut image, wherein the ground color refers to a part which is not contained in the original image;
if the color space exists, extracting an RGB color space and a YCbCr color space of the cut image, and performing twice conversion on the cut image in the RGB color space and the YCbCr color space to obtain an image with the ground color removed;
the twice converting the cropped image in the RGB color space and the YCbCr color space comprises:
converting the cut image from RGB color space to YCbCr color space, and extracting each component;
scaling and filtering the Y component to obtain a transformation component G, converting the Y component and the transformation component G into a floating point number matrix, dividing the two to obtain M=Y/G, and converting the M=Y/G back into an integer matrix;
combining Y, cb and Cr, performing Gamma transformation, and converting the image to be processed from the YCbCr color space back to the RGB color space;
removing the ground color in the YCbCr color space specifically includes:
performing image scaling on an image M in a YCbCr color space, performing Gaussian filtering on a Y component, and obtaining a transformation component G by adopting the smaller of the width of Y and the height of Y as a kernel size; converting the Y component and the transformation component G into a floating point number matrix, and dividing the floating point number matrix and the floating point number matrix to obtain an image with the ground color removed, wherein M=Y/G; and converted back to the shaping matrix.
2. The image processing method according to claim 1, wherein the acquiring the outline of the image to be processed to crop it includes:
acquiring the outline of an original image corresponding to the image to be processed;
acquiring edge lines corresponding to the contours and intersection points among the edge lines through Hough transformation;
and mapping transformation is carried out according to the edge line and the intersection point so as to carry out inclination correction on the image to be processed and cut.
3. The image processing method according to claim 2, wherein the acquiring the contour of the original image corresponding to the image to be processed includes:
if the image to be processed is a color image, graying the image to be processed;
and binarizing the gray-level image to be processed by using an Ojin method, and carrying out morphological operation to obtain the outline of the image to be processed.
4. The image processing method according to claim 1, wherein the acquiring the edge line corresponding to the contour and the intersection point between the edge lines by hough transform includes:
detecting edge lines of the image to be processed through Hough transformation;
selecting a straight line part in the edge line according to a preset condition;
5. the image processing method according to claim 1, wherein the converting the image to be processed from the YCbCr color space back to the RGB color space further comprises:
and correcting and filling the image converted back to the RGB color space, and removing redundant areas.
6. An image processing system employing the image processing method according to any one of claims 1 to 5, characterized in that the image processing system comprises:
the image acquisition unit is used for acquiring an image to be processed in a mode of scanning an original image or photographing the original image;
the clipping unit is used for acquiring the outline of the image to be processed so as to clip the outline of the image to be processed, and obtaining a clipped image;
a detection unit that detects whether or not there is a ground color in the cut image, the ground color being a portion that is not included in the original image;
and the ground color removing unit is used for extracting the RGB color space and the YCbCr color space of the cut image, converting the cut image in the RGB color space and the YCbCr color space twice, and removing the ground color in the YCbCr color space to obtain the image with the ground color removed.
7. The image processing system according to claim 6, wherein the cropping unit is specifically configured to:
acquiring the outline of an original image corresponding to the image to be processed;
acquiring edge lines corresponding to the contours and intersection points among the edge lines through Hough transformation;
and mapping transformation is carried out according to the edge line and the intersection point so as to carry out inclination correction on the image to be processed and cut.
8. Terminal device 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 claims 1 to 5 when the computer program is executed.
9. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 5.
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| CN111832423A (en) * | 2020-06-19 | 2020-10-27 | 北京邮电大学 | Bill information identification method, device and system |
| CN111861922A (en) * | 2020-07-21 | 2020-10-30 | 浙江大华技术股份有限公司 | Method and device for adjusting color correction matrix and storage medium |
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