WO2018053710A1

WO2018053710A1 - Morphological processing method of digital image and digital image processing device

Info

Publication number: WO2018053710A1
Application number: PCT/CN2016/099580
Authority: WO
Inventors: 方春; 王兵
Original assignee: 深圳市汇顶科技股份有限公司
Priority date: 2016-09-21
Filing date: 2016-09-21
Publication date: 2018-03-29
Also published as: CN106663317B; CN106663317A

Abstract

Provided are a morphological processing method of a digital image and a digital image processing device. The morphological processing method of the digital image comprises: determining whether a to-be-detected pixel point in the digital image is a boundary point; if the to-be-detected pixel point is a boundary point, determining whether the to-be-detected pixel point is a directional dilation point; and if the to-be-detected pixel point is the directional dilation point, assigning pixel values of the pixel points in a first pixel point set in the digital image as a first pixel value, according to a position of the to-be-detected pixel point and a first directional dilation matrix. With the method, the digital image can be morphologically processed easily and quickly.

Description

Morphological processing method of digital image and digital image processing device

Technical field

The present invention relates to the field of image processing, and more particularly to a morphological processing method for digital images and a digital image processing apparatus.

Background technique

In the image processing process, such as fingerprint recognition, the effective area needs to be identified from the invalid area. The invalid area mainly includes a non-pressed area, a wet hand area, a bad point area, and the like in the image. In order to enable the identified effective area to better cover useful image information in the image, such as useful fingerprint information in the fingerprint, it is necessary to perform certain morphological processing on the digital image corresponding to the effective area.

The basic idea of digital image morphology processing is to use a structural element with a certain shape to measure and extract the corresponding shape in the digital image to achieve the purpose of image analysis and recognition.

Digital image morphology processing includes operations such as corrosion calculation, expansion calculation, open operation, and closed operation. Each of the operations in digital image morphology processing is based on corrosion and expansion operations. Structural elements are required for both corrosion and expansion operations. The role of structural elements in morphological transformation is equivalent to the "filtering window" in signal processing.

However, traditional digital images are morphologically processed, essentially a two-dimensional convolution operation on digital images and structural elements. Therefore, when the dimensionality of the digital image is relatively large, the operation speed will be slow.

Summary of the invention

The invention provides a morphological processing method for a digital image and a digital image processing device, which can perform morphological processing on a digital image simply and quickly.

In a first aspect, the present invention provides a morphological processing method for a digital image, including: determining whether a pixel to be detected in a digital image is a boundary point, and a pixel value of the pixel to be detected is a first pixel value; The pixel point is a boundary point, and it is determined whether the pixel to be detected is a direction expansion point, the direction expansion point is a boundary point of the digital image, and the adjacent pixel point in the first direction of the direction expansion point is a boundary point that has been detected, and The pixel value of the adjacent pixel in the first direction of the direction expansion point is the first pixel value; if the pixel to be detected is the direction expansion point, the digital image is obtained according to the position of the pixel to be detected and the first direction expansion matrix Pixel value of a pixel in the first set of pixel points in The first pixel value is assigned; wherein the relative position matrix of all the pixel points in the first pixel point set and the pixel to be detected is a first direction expansion matrix.

In the embodiment of the present invention, when the pixel to be detected is a direction expansion point, the pixel value of the pixel in the digital image and the position of the pixel to be detected that satisfies the direction expansion matrix is directly set to be detected according to the direction expansion matrix. The pixel values of the pixels are the same, and the conventional expansion operation is not required, thereby reducing the amount of calculation and saving the operation time.

Optionally, the first direction expansion matrix is a position matrix included in the first structure diagram, and the pixel points not included in the second structure diagram are relative to the origin of the first structure diagram, and the second structure diagram is used for the digital image. An image corresponding to the matrix of structural elements performing the expansion operation. The first structural image is an image obtained by translating the first structural image in the second direction, and the second direction is opposite to the first direction.

In a possible implementation manner, the morphological processing method further includes: if the pixel to be detected is not a direction expansion point, performing a dilation operation on the pixel to be detected using the matrix of structural elements.

In a possible implementation manner, the morphological processing method further includes: if the pixel to be detected is not a boundary point, do not perform an expansion operation on the detected pixel point.

In the embodiment of the present invention, the pixel points that are not boundary points are not subjected to the expansion operation, and the calculation amount and the operation time can be further reduced.

In a possible implementation manner, determining whether the pixel to be detected is a boundary point comprises: determining that the pixel to be detected satisfies any one of the following conditions, and determining that the pixel to be detected is a boundary point: a pixel to be detected The abscissa in the position is the minimum value of the abscissa or the maximum value of the abscissa, and the ordinate in the position of the point to be detected is the ordinate minimum or the ordinate maximum, and the pixel to be detected is adjacent to at least one of the pixels to be detected. The pixel values of the pixels are not equal.

In a second aspect, the present invention provides a digital image processing apparatus comprising means for performing the morphological processing method of the first aspect or any of the possible implementations of the first aspect.

In a third aspect, the present invention provides a digital image processing apparatus including a processor and a memory for storing code, the processor for executing code in the memory. When the code is executed, the processor implements a morphological processing method in any one of the possible implementations of the first aspect or the first aspect.

In a fourth aspect, the present invention provides a computer readable medium storing program code for execution by a digital image processing apparatus, the program code comprising for performing in the first aspect or in the first aspect An instruction of a morphological processing method in any of the possible implementations.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings to be used in the embodiments of the present invention will be briefly described below. It is obvious that the drawings described below are only some embodiments of the present invention, Those skilled in the art can also obtain other drawings based on these drawings without paying any creative work.

1 is a schematic diagram of a digital image and a structure diagram to be processed in accordance with an embodiment of the present invention.

2 is a schematic flow chart of a morphological processing method of a digital image according to an embodiment of the present invention.

3 is a schematic diagram of a directional expansion matrix of an embodiment of the present invention.

4 is a schematic diagram of a morphological processing method of a digital image according to an embodiment of the present invention.

Fig. 5 is a schematic structural diagram of a digital image processing apparatus according to an embodiment of the present invention.

Fig. 6 is a schematic structural diagram of a digital image processing apparatus according to an embodiment of the present invention.

detailed description

The technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. It is a partial embodiment of the invention, and not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

Generally speaking, the operation of performing the etching operation and the expansion operation on the binary image generally adopts the following manner. Assuming that B represents a matrix of structural elements, and E represents a pixel matrix of a binary image, the etching operation of the pixel matrix E with the structural element matrix B is: scanning each pixel of the binary image, using the matrix of structural elements and the two The value image is ORed. If both are 1, the value of the pixel in the binary image is 1, otherwise it is 0. The expansion of the pixel matrix E by the structural element matrix B is: scanning each pixel of the binary image, and performing an AND operation with the binary image covered by the structural element matrix. If both are 0, the pixel of the resulting image is 0, otherwise 1.

As shown in (a) of FIG. 1, the digital image to be processed is a binary image in which the pixel values of the pixel points are 1 and 0, respectively. A point with a pixel value of 1 is a valid area, and a point with a pixel value of 0 is a wireless area. The structure diagram corresponding to the matrix of structural elements is shown in (b) of FIG.

In general, the binary values in (a) of Fig. 1 are used using the matrix of structural elements in (b) of Fig. 1. When the image is subjected to the expansion operation, the matrix of the structural elements in (b) of FIG. 1 is used to sequentially perform the pixel value of 1 in the binary image in (a) of FIG. 1 from left to right and from top to bottom. The pixel is detected for expansion operation. This digital image processing method has a large amount of computation and a large time.

Therefore, the embodiment of the present invention provides a morphological processing method for a digital image, where the specific content is: when the pixel to be detected is a boundary point in the digital image, according to whether the pixel adjacent to the boundary point satisfies a preset condition. The conventional expansion operation on the boundary point is also a specific expansion operation proposed in the embodiment of the present invention to reduce the amount of calculation and save computation time.

FIG. 2 is a schematic flowchart of a morphological processing method of a digital image according to an embodiment of the present invention. It should be understood that FIG. 2 illustrates steps or operations of the morphological processing method, but these steps or operations are merely examples, and embodiments of the present invention may perform other operations or variations of the various operations in FIG. 2. Moreover, the various steps in FIG. 2 may be performed in a different order than that presented in FIG. 2, and it is possible that not all operations in FIG. 2 are to be performed. The morphological processing method of the digital image in Fig. 2 can be performed by a digital image processing apparatus.

S210. Determine whether a pixel to be detected in the digital image is a boundary point. The pixel value of the pixel to be detected is a first pixel value.

The digital image may be a binary image, such as a pixel having a pixel value of 1 or 0. The first pixel value of the pixel to be detected may be any one of two pixel values in the binary image, and may be 1 or 0, that is, the first pixel value may be 1, or may be 0.

S220: If the pixel to be detected is a boundary point, determine whether the pixel to be detected is a direction expansion point. Wherein, the direction expansion point is a boundary point of the digital image, and the pixel point adjacent to the direction expansion point in the first direction is a boundary point that has been detected, and the direction expansion point is adjacent to the pixel point in the first direction The pixel value is also the first pixel value.

After determining that the pixel to be detected is a boundary point in S210, it is further determined whether the point to be detected is a direction expansion point. The direction expansion point is defined as: if a boundary point in a certain direction has been detected or expanded before, and the boundary point is the same as the adjacent boundary point. For the pixel value, the boundary point is the direction expansion point. The detection referred to herein includes determining whether or not a pixel point for performing the expansion operation is required, and the expansion operation herein includes a conventional expansion operation and a special direction expansion operation of the embodiment of the present invention.

S230, if the pixel to be detected is the direction expansion point, assigning a pixel value of a pixel point in the first pixel point set in the digital image according to a position of the pixel to be detected and a first direction expansion matrix. The first pixel value.

The matrix of relative positions of all the pixels in the first pixel set and the pixel to be detected is a first direction expansion matrix. The first direction expansion matrix may be a position matrix of the pixel points included in the first structure diagram and not included in the second structure diagram with respect to the origin of the first structure diagram, and the second structure diagram is for expanding the digital image. An image corresponding to the matrix of the structural elements of the operation, wherein the first structural image is an image obtained by translating the first structural image in the second direction, wherein the second direction is opposite to the first direction.

Optionally, the first direction in the morphological processing method may be any one of upper, lower, left, right, upper right, lower right, upper left, or lower left, correspondingly, the second direction It can be any of the lower, upper, right, left, lower left, upper left, lower right, or upper.

If it is determined in S220 that the pixel to be detected is a direction expansion point, a special direction expansion operation is performed on the pixel to be detected instead of the conventional expansion operation. The specific expansion operation in the embodiment of the present invention will be specifically described below.

When morphologically processing a digital image, there is a matrix of structural elements for performing an expansion operation, the structural element matrix corresponding to a second structural diagram, and the second structural diagram having a predefined origin. Moving the second structure diagram upwards, downwards, left, right, upper right, lower right, upper left, or lower left to obtain a corresponding first structural diagram, and the first structural diagram also has a predefined origin.

The second structure diagram includes a part of the pixel points not included in the first structure diagram, and the relative positions of the pixel points and the origin of the second structure diagram constitute a directional expansion matrix. The second structural diagrams in different directions obtained by the first structural diagram being translated in different directions respectively have corresponding directional expansion matrices.

As shown in FIG. 3, the slanted grids in (a), (b), (c), and (d) are the structure diagrams in (b) of FIG. 1 to the right, the downward, the lower right, and After shifting one unit to the lower left and including pixels that are not included in the structure diagram before the movement, the corresponding direction expansion matrix stores the coordinates of the corresponding grid corresponding to the diagonal line.

When it is determined that the pixel to be detected is a direction expansion point, and it is determined that the pixel to be detected is in the first direction and the adjacent boundary point of the same pixel value has been detected, the multiple direction expansion matrix corresponding to the matrix of the structural element may be extracted. The first structural diagram is moved in a direction opposite to the first direction to obtain a corresponding directional expansion matrix. For convenience of subsequent description, the directional expansion matrix is referred to as a first directional expansion matrix. For convenience of subsequent description, a direction opposite to the first direction is referred to as a second direction.

Next, according to the first direction expansion matrix, a special expansion operation is performed on the pixel to be detected. The specific step may be: setting the pixel value of all the pixels in the digital image including the relative position of the pixel to be detected in the first direction expansion matrix to the first pixel value, that is, setting the pixel point to be detected. The pixel values are the same.

As shown in FIG. 4, a morphological expansion operation is performed on a pixel point having a pixel value of 1 in the digital image shown in (a) of FIG. 1 using the structural operation matrix shown in (b) of FIG.

If the pixel to be detected is a pixel of the third row and the third column in (a) of FIG. 1 , although the pixel is a boundary point, since there is no pixel point that has been detected around the pixel, the pixel is not a direction. The expansion point is thus subjected to a conventional expansion operation on the pixel to obtain a pixel value as shown in (a) of FIG.

If the pixel to be detected is the pixel of the third row and the fourth column in (a) of FIG. 1 , since the adjacent pixel on the left side of the pixel is a boundary point and has been detected, and the pixel value is also Same as 1, so the pixel is a directional expansion point, and then the pixel in the first pixel point set in (a) of FIG. 4 can be expanded according to the rightward expansion matrix shown in (a) of FIG. The pixel value is set to 1, and a pixel value as shown in (b) of FIG. 4 is obtained. The matrix formed by the relative positions of the pixels in the first pixel collection point and the pixel to be detected is a rightward expansion matrix, and the pixel in the first pixel collection point is a pixel represented by a diagonally-lined lattice.

Therefore, when the pixel to be detected is a directional expansion point, the pixel value of the pixel in the digital image and the position of the pixel to be detected that satisfies the direction expansion matrix is directly set to the pixel to be detected according to the direction expansion matrix. The pixel values are the same, without the need for traditional expansion operations, which can reduce the amount of computation and save computation time.

In the embodiment of the present invention, when it is determined that the pixel to be detected is not a direction expansion point, if the pixel to be detected is a boundary point but not a direction expansion point, or the pixel to be detected is a non-boundary point, the structural element matrix may be used. The pixel is detected for expansion operation, that is, the structural element matrix can be used to perform a conventional expansion operation on the non-directional expansion point.

In the embodiment of the present invention, if it is determined that the pixel to be detected is not a boundary point and the other pixel points are subjected to the expansion operation, and the pixel value of the pixel to be detected needs to be changed, the pixel value of the pixel to be detected is the above. The changed pixel value. Of course, it is also possible to perform the expansion operation of the conventional or the embodiment of the present invention without treating the pixel. Instead, the original pixel value of the pixel to be detected can be retained, and then the next pixel to be detected is detected. This can further reduce the amount of calculation and save computing time.

In the embodiment of the present invention, when determining whether the pixel to be detected is a boundary point, specifically determining When the pixel to be detected satisfies any of the following conditions, it is determined that the pixel to be detected is a boundary point: the abscissa in the position of the pixel to be detected is the minimum value of the abscissa or the maximum value of the abscissa, and the position in the position of the point to be detected The coordinates are the maximum value of the ordinate or the maximum value of the ordinate, and the pixel values of the pixel to be detected and at least one adjacent pixel of the pixel to be detected are not equal.

For example, when the minimum value in the abscissa of all the pixels to be detected is 0, if the pixel value of a pixel to be detected is 0, the pixel to be detected is a boundary point; and when all the pixels to be detected are When the minimum value in the ordinate is 1, when the pixel value of a pixel to be detected is 1, the pixel to be detected is a boundary point.

In addition, when it is required to perform an etching operation on the pixel points of the first pixel value of the digital image, the matrix of the structural elements used for the etching operation may be used as a matrix of structural elements of the expansion operation, and then the pixels in the digital image are processed using the above morphological processing method. All pixels that have a value of the second pixel value are processed.

FIG. 5 is a schematic structural diagram of a digital image processing apparatus according to an embodiment of the present invention. It should be understood that the digital image processing apparatus 500 illustrated in FIG. 5 is merely an example, and the digital image processing apparatus of the embodiment of the present invention may further include other modules or units, or include modules similar in function to the respective modules in FIG. 5, or It is not necessary to include all the modules in Figure 5.

510. The determining module is configured to determine whether a pixel to be detected in the digital image is a boundary point, and a pixel value of the pixel to be detected is a first pixel value.

The determining module 510 is further configured to: when the pixel to be detected is a boundary point, determine whether the pixel to be detected is a direction expansion point, and the pixel point adjacent to the direction expansion point in the first direction is already performed. The detected boundary points, and the pixel values of the pixel points adjacent to the direction expansion point in the first direction are the same as the first pixel value.

The processing module 520 is configured to: when the pixel to be detected is the direction expansion point, set the first pixel point in the digital image according to the position of the pixel to be detected and the first direction expansion matrix The pixel value of the pixel is assigned to the first pixel value.

The matrix of relative positions of all the pixels in the first set of pixel points and the pixel to be detected is the first direction expansion matrix, and the first direction expansion matrix is included in the first structure diagram. a position matrix of a pixel point included in the second structure diagram with respect to an origin of the first structure diagram, the second structure diagram being an image corresponding to a matrix of structural elements for performing expansion operation on the digital image, The first structural diagram is an image obtained by translating the first structural image in a second direction, wherein the second direction is opposite to the first direction.

In the embodiment of the present invention, when the pixel to be detected is a direction expansion point, it only needs to expand according to the direction. The matrix directly sets the pixel value of the pixel in the digital image that satisfies the position of the pixel to be detected to the pixel of the direction expansion matrix to be the same as the pixel value of the pixel to be detected, without performing a conventional expansion operation, thereby reducing the operation Quantity, saving computing time.

Optionally, as an embodiment, the processing module is further configured to: when the pixel to be detected is not the direction expansion point, use the structural element matrix to perform an expansion operation on the pixel to be detected.

Optionally, as an embodiment, the processing module is further configured to: when the pixel to be detected is not a boundary point, do not perform an expansion operation on the pixel to be detected.

Optionally, as an embodiment, the processing module is specifically configured to: determine that the pixel to be detected is a boundary point when the pixel to be detected meets any one of the following conditions: the pixel to be detected The abscissa in the position is the minimum value of the abscissa or the maximum value of the abscissa, and the ordinate in the position of the point to be detected is the minimum value of the ordinate or the maximum value of the ordinate, and the pixel to be detected and the pixel to be detected The pixel values of at least one adjacent pixel of the point are not equal.

It should be understood that the above and other operations and/or functions of the respective modules of the digital image processing apparatus of the embodiment of the present invention shown in FIG. 5 are respectively for the purpose of implementing the corresponding flow of the morphological processing method of the digital image in FIG. This will not be repeated here.

FIG. 6 is a schematic structural diagram of a digital image processing apparatus according to another embodiment of the present invention. Digital image processing device 600 includes a memory 610 and a processor 620.

The memory 610 is configured to store a program.

The processor 620 is configured to execute a program stored by the memory 610. When the processor 620 executes the program stored in the memory 610, it is specifically used to determine whether a pixel to be detected in the digital image is a boundary point, and a pixel value of the pixel to be detected is a first pixel value.

The processor 620 is further configured to: when the pixel to be detected is a boundary point, determine whether the pixel to be detected is a direction expansion point, and the pixel point adjacent to the direction expansion point in the first direction is already performed. The detected boundary points, and the pixel values of the pixel points adjacent to the direction expansion point in the first direction are the same as the first pixel value.

The processor 620 is further configured to: when the pixel to be detected is the direction expansion point, set the first pixel point in the digital image according to the position of the pixel to be detected and the first direction expansion matrix The pixel value of the pixel is assigned to the first pixel value.

The matrix of relative positions of all the pixels in the first set of pixel points and the pixel to be detected is the first direction expansion matrix.

Optionally, the first direction expansion matrix is a position matrix of a pixel point included in the first structure diagram and not included in the second structure diagram with respect to an origin of the first structure diagram, the second structure The figure is an image corresponding to a structural element matrix for performing an expansion operation on the digital image, and the first structural image is an image obtained by translating the first structural image in a second direction, the second direction and The first direction is opposite.

Optionally, as an embodiment, the processor 620 is further configured to: when the pixel to be detected is not the direction expansion point, use the structural element matrix to perform an expansion operation on the pixel to be detected.

Optionally, as an embodiment, the processor 620 is further configured to: when the pixel to be detected is not a boundary point, do not perform an expansion operation on the pixel to be detected.

Optionally, as an embodiment, the processor 620 is specifically configured to: determine that the pixel to be detected is a boundary point when the pixel to be detected meets any one of the following conditions: the pixel to be detected The abscissa in the position is the minimum value of the abscissa or the maximum value of the abscissa, and the ordinate in the position of the point to be detected is the ordinate minimum or the ordinate maximum, the pixel to be detected and the to-be-detected The pixel values of at least one adjacent pixel of the pixel are not equal.

It should be understood that the digital image processing apparatus of the embodiment of the present invention shown in FIG. 6 may correspond to the digital image processing apparatus shown in FIG. 5, and the above and other operations and/or functions of the respective modules are respectively for implementing the digital image in FIG. The corresponding flow of the morphological processing method will not be repeated here for brevity.

Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for implementing the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present invention.

A person skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

The functions may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including The instructions are used to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

The above is only a specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of changes or substitutions within the technical scope of the present invention. It should be covered by the scope of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

A morphological processing method for digital images, comprising:

Determining whether a pixel to be detected in the digital image is a boundary point, and a pixel value of the pixel to be detected is a first pixel value;

If the pixel to be detected is a boundary point, it is determined whether the pixel to be detected is a direction expansion point, and the pixel point adjacent to the direction expansion point in the first direction is a boundary point that has been detected, and The pixel values of the pixel points adjacent to the direction expansion point in the first direction are the same as the first pixel value;

If the pixel to be detected is the direction expansion point, the pixel value of the pixel in the first pixel point set in the digital image is determined according to the position of the pixel to be detected and the first direction expansion matrix. Assigned to the first pixel value;

The matrix of relative positions of all the pixels in the first set of pixel points and the pixel to be detected is the first direction expansion matrix.
The morphological processing method according to claim 1, wherein the first direction expansion matrix is a pixel point included in the first structure diagram and not included in the second structure diagram with respect to the first structure a position matrix of an origin of the map, the second structure diagram is an image corresponding to a matrix of structural elements for performing an expansion operation on the digital image, the first structure diagram being the first structure diagram in a second direction The resulting image after translation, the second direction being opposite the first direction.
The morphological processing method according to claim 2, wherein the morphological processing method further comprises:

If the pixel to be detected is not the direction expansion point, the pixel to be detected is expanded by using the matrix of structural elements.
The morphological processing method according to claim 2 or 3, wherein the morphological processing method further comprises:

If the pixel to be detected is not a boundary point, the expansion operation is not performed on the pixel to be detected.
The morphological processing method according to any one of claims 1 to 4, wherein the determining whether the pixel to be detected is a boundary point comprises:

Determining that the pixel to be detected is a boundary point when the pixel to be detected satisfies any one of the following conditions: the abscissa in the position of the pixel to be detected is the minimum value of the abscissa or the maximum value of the abscissa. The ordinate in the position of the detected point is the ordinate minimum or the ordinate maximum, The pixel value of the pixel to be detected and the at least one adjacent pixel of the pixel to be detected are not equal.
A digital image processing apparatus, comprising:

a determining module, configured to determine whether a pixel to be detected in the digital image is a boundary point, and a pixel value of the pixel to be detected is a first pixel value;

The determining module is further configured to: when the pixel to be detected is a boundary point, determine whether the pixel to be detected is a direction expansion point, and the pixel point adjacent to the direction expansion point in the first direction is already performed. a boundary point of the detection, and the pixel value of the pixel adjacent to the direction expansion point in the first direction is the same as the first pixel value;

a processing module, configured to: when the pixel to be detected is the direction expansion point, according to the position of the pixel to be detected and the first direction expansion matrix, the first pixel point set in the digital image Pixel value of the pixel is assigned to the first pixel value;

The matrix of relative positions of all the pixels in the first set of pixel points and the pixel to be detected is the first direction expansion matrix.
The digital image processing apparatus according to claim 6, wherein the first direction expansion matrix is a pixel point included in the first structure diagram and not included in the second structure diagram with respect to the first structure a position matrix of an origin of the map, the second structure diagram is an image corresponding to a matrix of structural elements for performing an expansion operation on the digital image, the first structure diagram being the first structure diagram in a second direction The resulting image after translation, the second direction being opposite the first direction.
The digital image processing apparatus according to claim 7, wherein the processing module is further configured to:

When the pixel to be detected is not the direction expansion point, the pixel to be detected is expanded by using the matrix of structural elements.
The digital image processing apparatus according to claim 7 or 8, wherein the processing module is further configured to: when the pixel to be detected is not a boundary point, do not perform an expansion operation on the pixel to be detected.
The digital image processing apparatus according to any one of claims 5 to 9, wherein the processing module is specifically configured to:

Determining that the pixel to be detected is a boundary point when the pixel to be detected satisfies any one of the following conditions: the abscissa in the position of the pixel to be detected is the minimum value of the abscissa or the maximum value of the abscissa. The ordinate in the position of the detected point is the ordinate minimum or the ordinate maximum, The pixel value of the pixel to be detected and the at least one adjacent pixel of the pixel to be detected are not equal.