JP2938217B2 - Image processing device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image processing apparatus for converting image data input through a predetermined image input means into binary data and performing a thinning process or a fattening process by a pattern matching method. More specifically, the present invention relates to an image processing apparatus that can perform a thinning process or a fattening process in a favorable manner.

[0002]

2. Description of the Related Art Image processing after binary processing in an image processing apparatus includes, for example, medium ume processing, contour processing, flat lizard processing, three-dimensional lizard processing, middle ume / three-dimensional lizard processing, contour / three-dimensional lizard processing, contour・ There is flat lizard treatment. Since these processes are executed based on the thinning process and the thickening process of the binary data, it is important that the image processing device performs the thinning process and the thickening process well.

In general, when performing thinning processing and thickening processing, a pattern matching method is used. For example, a square pattern as shown in FIG. 16 or a circular pattern as shown in FIG. 17 is used. (Note that in the figure, 〇 indicates the center pixel.) When the thinning process is performed using the square pattern shown in FIG. 16, as shown in FIG.
The original data 900 becomes like thinned data (data after thinning processing) 901. When the thinning process is performed using the circular pattern shown in FIG. 17, as shown in FIG.
02. On the other hand, when the thickening process is performed using the square pattern shown in FIG. 16, the original data 903 becomes thickened data (data after the thickening process) 904 as shown in FIG. When the fattening process is performed using the circular pattern shown in FIG.
As shown in FIG. 1, original data 903 becomes fat data 905. Actually, the closed loops of the original data, thinned data, thickened data, etc. shown in the above figure are all data of black pixels (solid black), but for the sake of simplicity, only the outline is used. Show.

[0004]

However, according to the image processing apparatus which performs the thinning process or the thickening process using the conventional pattern matching method, the thinning process or the thickening process is performed using a specific pattern. To perform the processing,
When compared with the original data, there is a problem that an unnatural part occurs in the thinned data or the thickened data. Specifically, for example, since a square pattern has polarity, when a thinning process or a thickening process is performed using a square pattern, as shown in FIGS. 18 and 20, narrowing in the vertical and horizontal directions is performed. There is a problem that the slender amount or the thickening amount Δβ in the diagonal direction becomes larger than the slack amount or the thickening amount Δα. When the thinning process or the fattening process is performed using a circular pattern, FIG.
As shown in FIG. 9 and FIG. 21, there is a problem that the edge portion is rounded.

The present invention has been made in view of the above, and it is a first object of the present invention to obtain good thinned data.

The present invention has been made in view of the above, and has a second object to obtain good fattening data.

[0007]

According to the present invention, in order to achieve the first object, image data input through a predetermined image input means is converted into binary data, and the binary data is converted by a pattern matching method. In an image processing apparatus for performing a diverting process, binary data of a plurality of lines are simultaneously inputted, and N × M
Matrix to form the peripheral of said matrix
A processing target position is set on the side, and the processing target position is set.
Edge processing means for performing edge processing only on the value data at the position, and 2 output from the edge processing means.
It is an object of the present invention to provide an image processing apparatus provided with a thinning processing means for executing thinning processing on value data.

According to the present invention, in order to achieve the second object, image data input through a predetermined image input means is converted into binary data, and the image data is subjected to a fattening process by a pattern matching method. In the image processing apparatus, several lines of binary data are simultaneously inputted to form an N × M matrix, and a processing pair is arranged in a peripheral portion of the matrix .
Edge processing means for setting an elephant position and performing edge processing only on the binary data at the processing target position, and performing fattening processing on the binary data output via the edge processing means The present invention provides an image processing apparatus provided with a thickening processing means.

According to the present invention, in order to achieve the second object, image data input via a predetermined image input means is converted into binary data, and a thinning process is performed by a pattern matching method. In an image processing apparatus for performing, a plurality of thinning processing units that perform thinning processing using a thinning processing pattern, and at least one of the plurality of thinning processing units.
Placed immediately before the thinning processing means,
Enter a value data at the same time, to form a matrix of N × M, processed located at the periphery of said matrix
And an edge processing means for performing edge processing only on the binary data at the processing target position .

Further, according to the present invention, in order to achieve the second object, image data input through a predetermined image input means is converted into binary data, and the image data is subjected to a fattening process by a pattern matching method. In the image processing apparatus, a plurality of thickening processing means for performing thickening processing using a thickening processing pattern, and at least one of the plurality of thickening processing means.
Placed immediately before the thickening means,
Enter a value data at the same time, to form a matrix of N × M, processed located at the periphery of the matrix
And an edge processing means for performing edge processing only on the binary data at the processing target position .

[0011]

[Action] The image processing apparatus according to claim 1 of the present invention, first, the edge processing means to input binary data of a plurality of lines simultaneously, to form a matrix of N × M, the peripheral portion of the matrix Set the processing target position in
Edge processing is performed only on the binary data at the processing target position, and subsequently, in the thinning processing, the thinning processing is performed on the binary data output via the edge processing means.

In the image processing apparatus according to a second aspect of the present invention, the edge processing means simultaneously inputs binary data of a plurality of lines to form an N × M matrix, and forms a peripheral portion of the matrix. Set the processing target position to
Then, edge processing is performed only on the binary data at the processing target position, and subsequently, in the fattening processing, the fattening processing is executed on the binary data output via the edge processing means.

The image processing apparatus according to a third aspect of the present invention executes the thinning processing by a plurality of thinning processing means using the thinning processing pattern. At this time, binary data of a plurality of lines are simultaneously inputted by an edge processing means disposed immediately before at least one of the plurality of thinning processing means to form an N × M matrix. The processing target position is set in the periphery of this matrix,
Edge processing is performed only on the binary data at the processing target position .

The image processing apparatus according to a fourth aspect of the present invention executes the thickening process by a plurality of thickening processing means using the thickening processing pattern. At this time, binary data of a plurality of lines are simultaneously inputted by an edge processing means arranged immediately before at least one of the plurality of thickening processing means to form an N × M matrix. Set the processing target position in the periphery of the matrix, and
Edge processing is performed only on the binary data at the processing target position .

[0015]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an image processing apparatus according to the present invention will be described in detail in the order of [Embodiment 1], [Embodiment 2], [Embodiment 3], [Embodiment 4] with reference to the drawings.

FIG. 1 is a block diagram of a basic configuration of an image processing apparatus according to a first embodiment, which is roughly divided into an image reading unit 100 including a CCD sensor and the like, and input through the image reading unit 100. The image processing unit 200 includes an image processing unit 200 that performs predetermined image processing on input image data and an image recording unit 300 that outputs output image data that has been subjected to image processing by the image processing unit 200 via a laser printer or the like.

FIG. 2 is a block diagram showing only a part related to the present invention extracted from various image processing in the image processing unit 200, and shows input data (image reading unit 10).
A line memory unit 201 for storing (N + 2) lines (here, 19 lines) of image data inputted through the line 0 and binarizing the image data, and simultaneously outputting (N + 2) lines of data; From part 201 (N +
2) Input the data of the line and enter N × M (here, 1
An edge processing unit 202 that forms a 7 × 17) matrix and performs edge processing on binary data at a predetermined position;
A thinning processing unit 203 that performs a thinning process on the binary data output from the edge processing unit 202 is provided.

The operation of the above configuration will be described. First, when the line memory unit 201 stores 19 lines of input data (1 bit data), the line memory unit 201 simultaneously outputs data while synchronizing from the head of each line. Therefore,
The input data is output as 19-bit data (that is, data for 19 lines) via the line memory unit 201.

When the edge processing unit 202 receives 19 lines of data, the edge processing unit 202 converts the data into a 19 × 19 matrix.
A 17 × 17 matrix is formed as shown in FIG. Here, one cell of the matrix corresponds to one pixel (one-bit data), and 〇 is the center pixel. Further, the outside of the 17 × 17 matrix (the area of one surrounding cell) is an area for holding reference pixels to be referred to in edge processing described later.

Next, the edge processing unit 202 calculates the 17 × 17
The pixel at the position of the edge processing target indicated by x on the matrix is subjected to edge processing as follows. In the edge processing, as shown in FIG. 4, when a pixel to be subjected to the edge processing is indicated by x, its peripheral pixels A, B, C, D
, Three of the peripheral pixels A, B, C, and D are pixels of black data, and an edge processing target pixel (a pixel of ×)
Is the white data only when the pixel data is white data, and in other cases, the pixel to be edge processed is converted into black data.

The thinning processing unit 203 includes the edge processing unit 20
When data is input from No. 2, the thinning process is performed using an N × N square pattern (here, a 17 × 17 square pattern) as shown in FIG. When the thinning process is performed on the data subjected to the edge processing described above, FIG.
As shown in the figure, in the edge portion, the same thinning data as in the case of processing with the square pattern is obtained, and in the other portions, the same thinning data as in the case of processing with the circular pattern is obtained. . Therefore, as is clear from comparison with the conventional example shown in FIGS. 18 and 19, good thinning data can be obtained. In other words, the thinning process is performed satisfactorily by switching the pattern used for the process between the edge portion and the portion other than the edge portion with respect to the data to be subjected to the thinning process.

The original data is the same as the original data shown in FIGS. 18 and 19 in the conventional example. Actually, the closed loops of the original data, the thinned data, and the like shown in the above figure are all data of black pixels (solid black), but for simplicity of description, they are shown only with outlines.

[Second Embodiment] FIG. 7 is a block diagram showing only a configuration of a portion related to a second embodiment of the image processing unit 200 shown in FIG.
The basic configuration is the same as that of FIG. 1, and illustration and description are omitted. A line memory that stores (N + 2) lines (here, 19 lines) of input data (data obtained by binarizing image data input via the image reading unit 100) and simultaneously outputs data of (N + 2) lines The data of (N + 2) lines is input from the unit 204 and the line memory unit 204 to form an N × M (here, 17 × 17) matrix, and edge processing is performed on the binary data at a predetermined position. An edge processing unit 205 and a fattening processing unit 206 that performs fattening processing on the binary data output from the edge processing unit 205 are provided.

The operation of the above configuration will be described. First, when the line memory unit 204 stores 19 lines of input data (1 bit data), it simultaneously outputs data while synchronizing from the head of each line. Therefore,
The input data is output as 19-bit data (that is, data for 19 lines) via the line memory unit 204.

When the edge processing unit 205 receives 19 lines of data, the edge processing unit 205 converts the data into a 19 × 19 matrix.
A 17 × 17 matrix is formed as shown in FIG. Here, one cell of the matrix corresponds to one pixel (one-bit data), and 〇 is the center pixel. Further, the outside of the 17 × 17 matrix (the area of one surrounding cell) is an area for holding reference pixels to be referred to in edge processing described later.

Next, the edge processing unit 205 performs edge processing as follows with the pixel at the position of the edge processing indicated by x on the matrix as the object of edge processing. In the edge processing, as shown in FIG. 4, when a pixel to be subjected to edge processing is indicated by x, the peripheral pixels A, B, C, and D are referred to.
Any one of the peripheral pixels A, B, C, and D is a pixel of black data, the pixel to be edge processed (pixel of ×) is black data only, the pixel to be edge processed is black data, and otherwise Is a process for converting a pixel to be subjected to edge processing into white data.

The fattening processing unit 206 includes the edge processing unit 20
When data is input from No. 5, a thickening process is executed using an N × N square pattern (here, a 17 × 17 square pattern) as shown in FIG. When the fattening process is performed on the data subjected to the edge process described above, FIG.
As shown in (1), thickening data similar to that obtained by processing with the square pattern is obtained at the edge portion, and thickening data similar to that obtained by processing with the circular pattern is obtained at the other portions. Therefore, as is clear from comparison with the conventional example shown in FIGS. 20 and 21, good fattening data can be obtained. The original data is
This is the same as the original data of FIGS. 20 and 21 shown in the conventional example. Actually, the closed loops such as the original data and the fat data shown in the above figure are all data of black pixels (solid black), but are shown only by outlines for easy understanding.

In the first and second embodiments described above, FIG.
The edge processing was performed with the position of x indicated by the mark as the edge target position, but the present invention is not particularly limited to this. Also,
The reference peripheral pixels shown in FIG. 4 are not limited to A, B, C, and D, and the reference pixels and combinations thereof may be changed. Further, the matrix in FIG. 3 need not be square.

[Embodiment 3] In Embodiment 3, a plurality of thinning processing sections for performing thinning processing using a thinning processing pattern, and at least one of the plurality of thinning processing sections. Immediately before the processing unit,
An edge processing unit for simultaneously inputting value data to form an N × M matrix and performing edge processing on binary data at a predetermined position in the matrix is arranged.

FIG. 9 is a block diagram showing only the configuration of a portion related to the third embodiment of the image processing unit 200 shown in FIG. The basic configuration is the same as that of FIG. 1, and illustration and description are omitted. A line memory unit 207 for storing nine lines of input data (data obtained by binarizing image data input via the image reading unit 100) and outputting nine lines of data simultaneously; A first thinning processing unit 208 for inputting data and executing a thinning process, and thinning data (here, 1-bit data) of the first thinning processing unit 208 for 11 lines. A line memory unit 209 for storing and outputting 11 lines of data simultaneously, and inputting 11 lines of data from the line memory unit 209 to form an N × M (here, 9 × 9) matrix, and Edge processing unit 210 that performs edge processing on the binary data of
And a second thinning processing unit 211 for executing a thinning process on the binary data output from.

The operation of the above configuration will be described. First, when the line memory unit 207 stores the input data (1 bit data) for nine lines, the line memory unit 207 outputs data simultaneously while synchronizing from the head of each line. Therefore, the input data is output as 9-bit data (that is, data for 9 lines) via the line memory unit 207.

The first thinning processing unit 208 executes a thinning process using a 9 × 9 square pattern as shown in FIG. 10 and sends the thinned data (1 bit) to the line memory unit 209. Output).

The line memory unit 209 stores the input data (1
When 11 lines of bit data are stored, data is output simultaneously while synchronizing from the head of each line. Therefore, the input data is output as 11-bit data (that is, data for 11 lines) via the line memory unit 209.

When the edge processing unit 210 receives 11 lines of data, the edge processing unit 210 converts the data into an 11 × 11 matrix.
A 9 × 9 matrix is formed as shown in FIG.
Here, one cell of the matrix corresponds to one pixel (one-bit data), and 〇 is the center pixel. Also, 9
The outside of the × 9 matrix (the area of one surrounding cell) is an area for holding reference pixels to be referred to in edge processing described later.

Next, the edge processing section 210 performs edge processing as described below, with the pixel at the edge processing target position indicated by X on the matrix as the edge processing target. In the edge processing, as shown in FIG.
, Three of the peripheral pixels A, B, C, and D are pixels of black data, and a pixel to be subjected to edge processing (a pixel of ×) with reference to the peripheral pixels A, B, C, and D Is the white data only when the pixel data is white data, and in other cases, the pixel to be edge processed is converted into black data.

When the data is input from the edge processing section 210, the second thinning processing section 211 executes the thinning processing using a 9 × 9 square pattern as shown in FIG. When the thinning processing is performed on the data subjected to the edge processing described above, thinning data similar to that obtained by processing with the square pattern is obtained at the edge portion, and the square is reduced by 45 in the other portions. Rotated pattern (Fig. 1
The same thinning data as in the case of processing with a pattern formed by portions other than the X portion shown in FIG. 1 is obtained. Therefore, since the processing is performed using the square pattern and the pattern obtained by rotating the square by 45 degrees, the vertical, horizontal, and diagonal lines are good, and thinned data that has been subjected to the edge processing can be obtained. FIG.
3 shows the thinning data. The intermediate data indicates the thinned data output from the first thinning processing unit 208. The original data is the same as the original data of FIGS. 18 and 19 shown in the conventional example. FIG. 18 and FIG.
As is clear from comparison with the conventional example shown in FIG. 9, good thinning data can be obtained. Actually, the closed loops of the original data, the thinned data, and the like shown in the above figure are all data of black pixels (solid black), but for simplicity of description, they are shown only with outlines.

[Fourth Embodiment] In a fourth embodiment, a plurality of thickening processing units for performing a thickening process using a thickening processing pattern, and at least one of the plurality of thickening processing units immediately before the thickening processing unit. And 2 of multiple lines
An edge processing unit for simultaneously inputting value data to form an N × M matrix and performing edge processing on binary data at a predetermined position in the matrix is arranged.

FIG. 14 shows the image processing unit 200 shown in FIG.
FIG. 10 is a block diagram showing only a configuration of a portion related to Example 4 of FIG. The basic configuration is the same as that of FIG. 1, and illustration and description are omitted. Nine lines of input data (data obtained by binarizing image data input via the image reading unit 100) are stored for nine lines, and nine lines of data are output from the line memory unit 212 simultaneously. A first fattening processing unit 213 for inputting data and performing a fattening process, and fattening data (here, 1-bit data) of the first fattening processing unit 213 for 11 lines are stored. A line memory unit 214 for simultaneously outputting line data, and 11 lines of data are input from the line memory unit 214 to form an N × M (here, 9 × 9) matrix, and binary data at a predetermined position Processing unit 215 that performs edge processing on the
And a second fattening processing unit 216 for performing a fattening process on the binary data output from.

The operation of the above configuration will be described. First, when the line memory unit 212 stores the input data (1 bit data) for nine lines, the line memory unit 212 outputs data simultaneously while synchronizing from the head of each line. Therefore, the input data is output as 9-bit data (that is, data for 9 lines) through the line memory unit 212.

The first thickening processing section 213 executes thickening processing using a 9 × 9 square pattern as shown in FIG. 10 and sends thickening data (1 bit data) to the line memory section 214. Output.

The line memory 214 stores the input data (1
When 11 lines of bit data are stored, data is output simultaneously while synchronizing from the head of each line. Therefore, the input data is output as 11-bit data (ie, data for 11 lines) via the line memory unit 214.

When the edge processing unit 215 receives 11 lines of data, the edge processing unit 215 converts the data into an 11 × 11 matrix.
A 9 × 9 matrix is formed as shown in FIG.
Here, one cell of the matrix corresponds to one pixel (one-bit data), and 〇 is the center pixel. Also, 9
The outside of the × 9 matrix (the area of one surrounding cell) is an area for holding reference pixels to be referred to in edge processing described later.

Next, the edge processing section 215 performs the edge processing as follows with the pixel at the position of the edge processing target indicated by x on the matrix as the edge processing target. In the edge processing, as shown in FIG.
, One of the peripheral pixels A, B, C, and D is a pixel of black data, and the pixel to be subjected to edge processing (× (Pixel) is black data only, the pixel to be subjected to edge processing is set to black data, and otherwise, the pixel to be processed is converted to white data.

When data is input from the edge processing unit 215, the second fattening processing unit 216 executes fattening processing using a 9 × 9 square pattern as shown in FIG. When thickening processing is performed on the data subjected to the edge processing described above, thickening data similar to that obtained by processing with the square pattern is obtained in the edge portion, and the square is rotated by 45 degrees in the other portions. Pattern (Fig. 1
The same thickening data as in the case of processing with a pattern formed by portions other than the X portion shown in FIG. 1 is obtained. Therefore, since the processing is performed using the square pattern and the pattern obtained by rotating the square by 45 degrees, it is possible to obtain thickened data that is good in vertical, horizontal, and diagonal lines and that has undergone edge processing. FIG.
5 shows fat data. Note that the intermediate data indicates the fat data output from the first fat processing unit 213. The original data is the same as the original data of FIGS. 18 and 19 shown in the conventional example. FIG. 18 and FIG.
As is apparent from comparison with the conventional example shown in FIG. 9, good fattening data can be obtained. Actually, in the closed loop such as the original data and the fat data shown in the above figure, all the data is black pixel data (solid black), but for the sake of simplicity of description, only the outline is shown.

In Embodiments 3 and 4 described above, FIG.
The edge processing was performed with the position of x shown in 1 as the edge target position, but the present invention is not particularly limited to this. Further, the reference peripheral pixels shown in FIG. 12 are not limited to A, B, C, and D, and the reference pixels and combinations thereof may be changed. Further, the matrix of FIG. 11 need not be square.

Further, in the above-described first to fourth embodiments, since the edge processing unit is a method of referring to peripheral pixels, hardware processing can be easily realized.

[0047]

As described above, the image processing apparatus of the present invention converts image data input via a predetermined image input means into binary data, and performs a thinning process by a pattern matching method. In the apparatus, a plurality of lines of binary data are input simultaneously to form an N × M matrix, and a processing target
Edge processing means for performing edge processing only on the binary data at the processing target position, and fine processing for executing the thinning processing on the binary data output via the edge processing means. Because of the provision of the smoothing processing means, it is possible to obtain good thinning data.

Further, according to the image processing apparatus of the present invention, an image processing apparatus for converting image data input through a predetermined image input means into binary data and performing fattening processing by a pattern matching method. Binary data is input simultaneously to form an N × M matrix, and a processing target position is set in a peripheral portion of this matrix.
Edge processing means for performing edge processing only on the binary data at the processing target position, and thickening processing means for performing thickening processing on the binary data output via the edge processing means. Therefore, good fat data can be obtained.

The image processing apparatus according to the present invention converts the image data input via a predetermined image input means into binary data and performs a thinning process by a pattern matching method. A plurality of thinning processing means for performing thinning processing using a thinning processing pattern; and a plurality of lines of binary data arranged immediately before at least one of the plurality of thinning processing means. At the same time, an N × M matrix is formed, and a processing target position is set in a peripheral portion of the matrix.
Since edge processing means for performing edge processing only on the binary data at the position is provided, it is possible to obtain excellent thinning data.

Further, the image processing apparatus of the present invention converts the image data input via a predetermined image input means into binary data and performs the thickening process by a pattern matching method. A plurality of fattening processing means for performing fattening processing using a pattern for use, and at least one of the fattening processing means arranged immediately before the fattening processing means, and simultaneously inputting binary data of a plurality of lines, An N × M matrix is formed, and a processing target position is set in a peripheral portion of the matrix.
Since edge processing means for performing edge processing only on the binary data at the position is provided, good fattening data can be obtained.

[Brief description of the drawings]

FIG. 1 is a block diagram of a basic configuration of an image processing apparatus according to the present invention.

FIG. 2 is a block diagram in which only a configuration of a portion related to the present invention is extracted from various image processing in an image processing unit according to the first exemplary embodiment.

FIG. 3 is an explanatory diagram illustrating a matrix formed by an edge processing unit.

FIG. 4 is an explanatory diagram for explaining edge processing.

FIG. 5 is an explanatory diagram showing a 17 × 17 square pattern used in the first embodiment.

FIG. 6 is an explanatory diagram showing thinning data output by the first embodiment.

FIG. 7 is a block diagram in which only a configuration of a part related to the present invention is extracted from various image processing in an image processing unit according to a second embodiment.

FIG. 8 is an explanatory diagram showing fat data output by the second embodiment.

FIG. 9 is a block diagram in which only a configuration of a part related to the present invention is extracted from various image processing in an image processing unit according to a third embodiment.

FIG. 10 is an explanatory diagram showing a 9 × 9 square pattern used in the third embodiment.

FIG. 11 is an explanatory diagram illustrating a matrix formed by an edge processing unit.

FIG. 12 is an explanatory diagram for explaining edge processing.

FIG. 13 is an explanatory diagram showing thinning data output by the third embodiment.

FIG. 14 is a block diagram showing only a configuration of a part related to the present invention among various image processing in an image processing unit according to a fourth embodiment.

FIG. 15 is an explanatory diagram showing fat data output by the fourth embodiment.

FIG. 16 is an explanatory diagram showing a square pattern used in a conventional pattern matching method.

FIG. 17 is an explanatory diagram showing a circular pattern used in a conventional pattern matching method.

FIG. 18 is an explanatory diagram showing a conventional example of a thinning process when a square pattern is used.

FIG. 19 is an explanatory diagram showing a conventional example of a thinning process when a circular pattern is used.

FIG. 20 is an explanatory diagram showing a conventional example of a fattening process when a square pattern is used.

FIG. 21 is an explanatory diagram showing a conventional example of a fattening process when a circular pattern is used.

[Explanation of symbols]

100 Image reading unit 200
Image processing unit 201 Line memory unit 202
Edge processing unit 203 Thinning processing unit 204
Line memory unit 205 Edge processing unit 206
Fat processing unit 207 Line memory unit 208
First thinning processing unit 209 Line memory unit 210
Edge processing unit 211 Second thinning processing unit 212
Line memory unit 213 First fattening processing unit 214
Line memory unit 215 Edge processing unit 216
Second thickening processing section 300 Image recording section

──────────────────────────────────────────────────続 き Continued on front page (58) Field surveyed (Int.Cl. ⁶ , DB name) G06T 3/40

Claims (4)

(57) [Claims] 1. An image processing apparatus for converting image data input through a predetermined image input means into binary data and performing a thinning process by a pattern matching method, wherein a plurality of lines of binary data are simultaneously input. To form an N × M matrix, and process the matrix in a peripheral portion of the matrix.
Edge processing means for setting a processing target position and performing edge processing only on binary data at the processing target position, and thinning processing for binary data output via the edge processing means. An image processing apparatus comprising: 2. An image processing apparatus for converting image data input via a predetermined image input means into binary data and performing fattening processing by a pattern matching method, wherein binary data of a plurality of lines is simultaneously input. , N × M matrix, and processing is performed on the periphery of the matrix.
Edge processing means for setting a processing target position and performing edge processing only on the binary data at the processing target position; and performing fattening processing on the binary data output via the edge processing means. An image processing apparatus comprising: a fattening processing unit that executes the processing. 3. An image processing apparatus which converts image data input via a predetermined image input means into binary data and performs a thinning process by a pattern matching method. A plurality of thinning processing means for performing a thinning process, and a plurality of lines of binary data arranged immediately before at least one of the plurality of thinning processing means, × M matrix is formed, and a processing target
And an edge processing means for setting the position and performing edge processing only on the binary data at the processing target position . 4. An image processing apparatus for converting image data input via a predetermined image input means into binary data and performing a thinning process by a pattern matching method, wherein the image processing device performs thickening using a thickening processing pattern. A plurality of thickening processing means for performing processing, and a plurality of lines of binary data which are arranged immediately before at least one of the plurality of thickening processing means and are simultaneously input to form an N × M matrix To form a processing target at the periphery of the matrix.
And an edge processing means for setting the position and performing edge processing only on the binary data at the processing target position .