JPH0234293A - Laser beam machining method and device by visual assistance - Google Patents

Abstract

PURPOSE: To improve efficiency in program preparation by photographing a graphic or object indicating a machining line, forming a threshold processing image, making a coordinate data from the machining line based on the image and thereby preparing a program. CONSTITUTION: An image pickup means 1 such as a solid (CCD) camera is arranged for a two-dimensional graphic or an object P indicating a machining line, and an image processing means 2 is provided that is constituted with a microcomputer 20 as the center. In addition, an image processing panel 21 is formed with a digital image generating circuit 22, temporary image storing circuit 23 and a display logic circuit 24. A threshold processing image is formed by a computer 20 that carries out threshold processing from a source gray image obtained by the image pickup means 1; based on the threshold processing image, a machining program is formed while an image display 25 is watched. Since the machining program is obtained through the image processing without calculation, efficiency is improved in the program preparation.

Description

[Detailed description of the invention]

Industrial Application Field The present invention relates to a two-dimensional laser machining method with computer numerical values aIIllll (CNG) and its laser processing system, and in particular, the computer numerical side tall is processed by image processing using figures and objects indicating the processing line as decoys. (CNC
) and its laser processing system. Conventional technology In the past, computer numerical control (CNG)
Laser processing machines have been widely used, especially in the field of cutting thin metals and non-metals. The laser processing machine related to such conventional technology has a combination coater number of 1fJJ control (C
It is necessary to create an operating program using NC).
, an operator with the ability to create computer numerical control (CNC) operating programs was required to create operating programs for each type of laser processing. Problems to be Solved by the Invention However, the combination 1 - evening number V [υltMl (CNC
) When creating an operation program, it is necessary to calculate the coordinates of the shape to be laser-processed using the Moe6. You have to perform a complicated process over all the lines to figure out the coordinates of the figure. Therefore, it was safe to assume that a lot of manpower and time would be required at the setup stage 1, which begins sea 1f processing. In addition, laser machining S for mass production of a single type may require a lot of manpower and time at the setup stage, but flexible manufacturing systems (EMS) for high-mix low-volume production However, if a large amount of manpower and time were required at the setup stage, not only would it be unprofitable, but the flexible manufacturing system (FMS) itself would not be possible. The present invention was made against the background of the above-mentioned circumstances.
Computer numerical side fil (CNC) example
In n, the figure or actual object representing the processing line! It is an object of the present invention to provide a laser machining system that realizes a laser machining method that non-contactly reads the image using an a-image means, processes the image, and converts it into a computer numerical control (CNC) operating program. Means for Solving the Problems The present invention solves the above-mentioned problems by providing a method for linear processing using visual aids, in which two-dimensional figures and objects representing machining lines are Step B: Perform threshold processing on the original gray value image to obtain a threshold-processed image with enhanced contrast; Step C: Threshold-processed image. For each processing line, select one of the following three selection modes: mode for extracting the outline of the 70 images, mode for not extracting the skeleton lines of the image, and mode for extracting the contours and skeleton lines for the image. Step D: The threshold-processed image is converted into coordinate data for each processing line using the coordinates added from left to right and from top to bottom according to the set extraction mode for each processing line. Step E: Smoothly arrange and file each machining line taken out as coordinate data, Step F: Convert the coordinate array of each machining line filed as coordinate data into coordinate vector data, C Step: Set the start and end points of addition to the coordinate array of each machining line converted into coordinate vector data, 1-1 Step: Set each machining start point and end point based on the machining start and end points Optimized to add the coordinate vector of the processing line from the inside to the outside - [Set 4 circuits, 1 step...
The coordinate vector data of each processing line set as described above is converted into a computer numerical control fill (CNC) operating program, and the laser processing machine is manually controlled by a computer numerical control (CNC) control tII device. The problem can be solved by a visually assisted laser processing method consisting of steps of controlling the path and performing laser processing. In a preferred embodiment of the present invention, in step C, when contour line extraction is set, the inside of the contour line is filled with a predetermined gray value different from the minimum gray value of the threshold-processed image, and the skeleton line extraction setting is When doing so, it is convenient to maintain the minimum gray value as is. Similarly, the present invention solves the problem by providing an apparatus for laser machining using visual aid means, which utilizes a figure indicating a machining line and an image carrier for copying a two-dimensional image of an object, and a microcomputer. It is composed of an image processing means for performing C image processing, a computer numerical control (CNC) control device, and a laser processing machine, and the image processing means has an image display device and an operating keyboard, and an image display device and an operating keyboard. a digital image generation circuit that converts a digital image into a digital image; a temporary image storage device that temporarily stores the digital image; a display logic circuit that displays the digital image on the image display device; It consists of an image vector coordinate conversion circuit that converts line coordinate data into coordinate vector data, a program that performs dancing images, a program that performs threshold processing on the two-dimensional image obtained by the image carrier, and a contour processing circuit that converts line coordinate data into coordinate vector data. Select and extract lines and skeleton lines [1 gram and Jl! The problem is solved by a visually assisted laser machining method characterized by comprising a program for converting target data into coordinate vector data and a program for setting the start and end points of machining. In a preferred embodiment of the invention, the first stage of silver images is advantageously a solid-state camera using a charge-coupled device (COD) as a solid-state image carrier. Function: The visual aided laser IJ' processing method according to the present invention is part ii! Since the image processing method such as the A-1 star-tube described above is adopted in ia processing, the processing figure to be laser processed or the object representing the processing figure is directly acquired as a two-dimensional image by an imaging means, and the necessary The computer numerical control (CNC) operating program almost automatically performs

[Convert to cogram, computer numerical control (CNC)
) to control the laser processing machine and perform the necessary laser processing. Therefore, the complicated and time-consuming continuation of calculating figure coordinates can be omitted, and the operation program of the two-dimensional laser processing machine can be completed in an extremely short period of time. 6 Fully compatible with flexible manufacturing systems (EMS). When setting the contour line extraction in steps J3 and C, filling the contour line with different gray values will make it easier to identify when extracting the coordinate data for each processing line in the next step. . Furthermore, the apparatus for laser processing according to the present invention is an image processing means centered on a microcomputer.
A program for performing Ii imaging activates imaging means, such as a COD solid-state camera with little image distortion,
The processed figure or the object representing the processed figure is converted into m images by a digital image generation circuit, and is converted into a digital image signal, and an original gray value image is displayed on an image display device. This primitive gray value image is converted into a threshold-processed image with enhanced contrast using a threshold-processing program and displayed on an image display device. Next, while looking at this threshold-processed image on an image display device, add: [Wheel lAl11 as a line? Add to the program that selects and extracts the skeleton lines and sets the line extraction settings. According to the processing line extraction settings, the processing line is extracted as coordinate data by the coordinates added in order from left to right and top to top of the threshold processed image. Processing line extracted as coordinate data If the lines are arranged smoothly without breaks or intersections, the coordinate data will not appear in b, and only the lines for winter will be filed and saved in an external storage device provided by the microcomputer. The filed P@mark data of each machining line is converted into coordinate vector data using a vectorization program.The machining start point and end point are determined for each machining line represented by this coordinate vector data. According to the program to be set, set the start and end points of machining while looking at the image display device.Next, set the optimal machining path so that the machining line is machined from the inside to the outside. Set the optimum machining path for the line. Using a program that converts the coordinate vector data of the machining line obtained through the above image processing into an operating program for computer numerical control I (CNC), use the combination 1-even value &+ control. C, NC) into an operating program,
Computer numerical value 1.1111 (CNC) 1III
The information is input to the III unit U to control the operation of the laser processing machine and execute the necessary laser processing. Preferred embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a flowchart showing a laser processing method using visual aids according to the present invention, FIG. 2 is an overall diagram showing v4M for laser processing using visual aids according to the present invention, and FIG. The figure is an explanatory diagram showing an example of a figure representing a processing line, Fig. 4 is an explanatory diagram showing an original gray value image, Fig. 5 is an explanatory diagram showing the gray value distribution moment, and Fig. 6 is an explanatory diagram showing an example of a figure representing a processing line. FIG. 7 is an explanatory diagram showing a processed line image from which processed lines have been extracted. FIG. 8 is an explanatory diagram showing a curve approximation processed image. FIG. 9 is an explanatory diagram showing a processed image after processing.
7i1 is an explanatory diagram showing a machining line image in which a starting point, an end point, and an optimal addition route are set. 1 and 3 to 9, a visually assisted laser processing method according to the present invention will be explained. In Step A, [1 execution program converts a figure or object, such as the logo shown in Fig. 3, without displaying 1 line, into a digital image, and converts it into a digital image as shown in Fig. 4. Obtain gray value image 1)1. However, as shown in FIG. 4, this original gray 1lti image P1 generally has many distinct gray values (referred to as threshold values in the present invention) and the contrast is not interrupted. It is necessary to enhance the image and convert it into an image with sharp edges. This image conversion is performed in step B. However, if intra-shell image conversion is performed, the image is deformed and the processing line cannot be faithfully restored, so the optimal threshold value t is set to 1.
Find the optimal threshold value t using the program to be issued. Next, based on this optimal threshold t, the threshold value in the original gray value image P1 is adjusted between the maximum threshold (for example, white) and the minimum threshold vi.
(for example, black). Based on FIG. 5, the method of linearly applying the optimum threshold Itlt will be explained. For example, in an 8-bit vlji & processing device, the gray value that can be distinguished into 2 to the 8th power - 256 gradations is In the relationship between the gray value of 255 and the number of pixels shown on the Y axis, a distribution with moments as shown is obtained. In the figure, a portion S with a high density close to 0 indicates an image, and a portion S with a low density near 255 indicates a violation of the image. Therefore, if the optimal threshold value t located at the intermediate position between T and S is calculated and threshold processing is performed, the t-ment of the C gray value distribution before and after the threshold processing becomes 薊-.
As shown in the figure, it is possible to obtain a Shigii-Hani-processed image P2 that faithfully restores the original image. In addition, in the present invention, the gray value distribution is adjusted so that the moments of the gray value distribution before and after threshold processing are the same! The gray value at the middle position of the +6 distribution'[-ment is
The moment retention threshold processing (pJj omcnt -P -rese
The optimal threshold value tB is
Since this is adopted for the output program [1 gram and subjected to threshold processing, I will not explain the detailed total C5-way payment in A. Next, in step C, the contour line of the 70 image is extracted from the threshold-processed image))2 by the processing line extraction setting program.Motoy, 11! Extracting the skeleton line of the I image Remote 90 Extracting the contour line and skeleton line of the image (one of the three modes is set, but the extraction setting for this processing line is determined depending on the content of the laser processing. Note that the skeleton line in mode (A) is used to mean the line that represents the middle between the contours, and if the character part (mtc) inside the image is separated by B, it will look like the skeleton of a fish. Therefore, it is stored as a skeleton line.Now, when setting the processing line to extract, if the contour line is extracted (mode (a) or (t)), it is stored as a skeleton line.
It can be seen that the gray value in the contour line extracted by the ng) method is converted and the contour line is extracted as a light density one having an intermediate gray value. Furthermore, when extracting a skeleton line, in mode (a) or (tsu)), it is extracted as is and the gray value is not changed. When partially extracting a contour line or a skeleton line (mode), a contour line area is set using a cursor, a mouse, etc., and a machining line based on the contour line is extracted. If the specified area of the contour line is not set, the machining line is automatically extracted using the skeleton line. Therefore, although not shown, to explain using FIG. 6, in this mode, the central character part p20 from which the ring tA line is extracted is filled with a light gray value. At the same time, since the outer glue part p21 from which the skeleton line has been extracted maintains its original dark gray color, it can be clearly distinguished, which is convenient in processing line selection and setting and subsequent processing. In step D, each machining line is not extracted as coordinate data based on the xy coordinates added in order from the left to the right of the screen and from the top to 1, but is processed as a contour line or a skeleton line. It is automatically distinguished by the gray value of that part. Contour tracing using known technology is used for contour lines.
Using the ontour-r ra-cing method, both threads forming the contour line are extracted as coordinate data. Regarding the skeleton lines, well-known technology is converted to IIIFJI (Thinnin
g) Extract both prefectures that make up the skeleton line as locus jfA data using the method 1. Fig. 7 shows the outline of the character part 20 in Fig. 6 and the circle part 2 by selecting Makki mode (tsu).
1, a processing line image P3 in which each skeleton line is extracted as a processing line is shown. Therefore, D30 in the figure
indicates the machining line for the character portion, and p31 indicates the machining line for the circle portion. In the E step, the previous step MAG processed the entire image including the background, but as a preparatory work for vectorizing the contour line or skeleton line extracted as the coordinate data of the pixels constituting each hL line, In addition to correcting the coordinate data of each machining line so that it is arranged in the smoothest manner, each coordinate data is corrected so that from now on, image processing can be performed only based on the coordinate data that shows the smoothest arrangement of the contour line J3 and the skeleton line. 7? Erase unnecessary data by cleaning. In the F step, a known curve approximation (Cur
As shown in FIG. 8, the feature points p, . p41 are selected, and the selected feature points pi, pi, . p4
A curve approximation picture (lIP3) is obtained by converting each processing line into a coordinate vector using a vector connecting 1-p41.In this way, each processing line, which was represented by a large number of bits, is divided from feature points to If the amount of information can be compressed by replacing the coordinates with a flat 1-rule, it will be possible to easily convert it into a computer numerical control (CNC) operating program.The feature points p selected for each machining line i, -p
stomach,. The coarseness and density of p41-p41 melons are determined by the precision of processing. In other words, as shown in the figure, when very precision is not required, the feature points p4o-p4i, pi, -
1) Take 41 at coarse intervals, and if precise addition J: is required, feature points p/1o-p4o, D41-p41
Make sure to take six pieces at small intervals. Now, the conventional laser processing system has the disadvantage that in laser cutting, for example, the starting point and ending point of the cut are larger than the cutting width in the middle. How the points are set has a great influence on the quality of the cutting process, especially in laser cutting. Therefore, in step G, the feature points p, . p
41 is the primitive starting point (i.e. primitive ending point) according to the coordinate order
Since it has the following, the original start point (original end point) of machining is automatically displayed for each machining line. In other words, regarding Fig. 8, for the internal text part, the feature point p at the top of the figure is the primitive starting point of the xy coordinates (primitive starting point), and for the external text part, the feature point p at the top of the figure is the primitive starting point (primitive starting point). The feature point D41 on the right side is the primitive starting point (primitive ending point) of the xy coordinates. Next, by operating a cursor or the like, start points (end points) K and L for each machining line are set at arbitrary points near the respective primitive start points and primitive end points. In the figure, start points (end points) K and L are set at one point extending from the primitive start point (original end point) in the X-axis or y-axis direction, but the starting points (end point>K, You can also set L. Figure 8 shows the case where there are only two machining lines, but even if there are three or more machining lines, the start point (end point) should be set for each machining line. (Not shown) In the H step, an optimal machining path is set based on the set start point (end point) so that machining progresses from the inside to the outside of the machining figure for each machining line. In particular, in laser processing, a thin plate-shaped workpiece must be fixed on the processing table, and the processing must be started from the innermost part of the processing figure and then sequentially to the outside. There, from the left to the right, from the top to the bottom, that is, from the outside to the inside. For machining figures with xy coordinates that are numbered 1, start points in reverse order from the end of the xy coordinates. By setting the end point), the arrangement is changed from the inside to the outside, and the optimum machining path is set by replacing the machining route from the 2nd section to the 51st direction. To explain this with reference to Fig. 9, machining starts from the start point (end point) K, which is the opposite point in terms of x and y coordinates, and the start point (end point) L is become. The optimum machining path is set so that the addition path of each machining line also proceeds in the opposite direction to the order of the xy coordinates and machining is performed around n1 counterclockwise as shown by the arrow. In step I, the coordinate vector data of each machining line set as described above is controlled by computer numerical control (C
NC) operation program. This operation block [1 gram requires consideration of the machining speed, and is input to a computer numerical control (CNC) control device to control the laser application [machine operation control 1~roll], and visual aids Executes laser processing of the set processing shape. Finally, if there is a next task, go to step A and start image processing with visual aids; if there is no next task,
Finish your work. Hereinafter, an apparatus for visually assisted laser processing according to the present invention will be described. In FIG. 2 and FIGS. 3 to 9, the apparatus for visually assisted laser machining according to the present invention includes a figure representing a machining line and an object P4! - An image carrier means 1 that photographs P to obtain a two-dimensional image, and processes the two-dimensional image inputted from the ms means 1 to complete the computer numerical value [1 (CNC) operating program necessary for laser processing. An image processing system built around a microcomputer for this purpose! Means 2 and computer numerical control (CNC) from image processing stage 2
), a CNC control device 3 in which the operating program is manually operated;
Computer numerical control (CNC) operation block using CN C'III 01 equipment e3 [laser processing that performs laser processing that is controlled based on 1 gram and performs sea 11 processing]]
It consists of machine 4. The imaging means 1 employs a solid-state (COD) camera using a charge-coupled device (COD) as a solid-state image carrier. The present invention employs a solid-state (COD) camera! The reason is solid (
Since COD cameras are small, lightweight, and can provide images with little distortion, there is no problem in using other imaging means, such as a video camera, for the purpose of imaging. The image processing means 2 includes a computer 20 equipped with various processing programs necessary for the image processing of the present invention, an image processing panel 21 which is commercially available, an image display device 25 generally called a display, and pixels and each pixel. an image vector conversion circuit 26 that converts machining lines represented by coordinate data with gray values of , into coordinate vector data representing each machining line, and an operation for making necessary mode settings and specifying with a cursor while looking at the image display device 25 It consists of a keyboard 27. Therefore, the combination machine 1-2 is equipped with the processing programs necessary to carry out each step of Δ to ■ as software.
0 is an illumination system that utilizes a solid-state (COD) camera by being connected to a standard l! The analog image signal obtained by the imaging means 1 is converted into a digital image signal by the digital image generation circuit 22 and stored in the image temporary storage circuit 23, and the image is displayed on the image display 25 via the display logic circuit 24. At this time, what is displayed on the image display device E25 is a monotone atomic gray value image P1 with atomic gray values, as shown in FIG.
It is. At this time, the image transfer is performed using 10 grams (for example, selection of the presence or absence of an image, the size of the image, the brightness of the image, etc.) that performs image transfer in Δ steps, which is provided in the computer 20Δ. Next, the original gray value image (mPl) is analyzed by a program that performs B-step threshold processing provided in the computer 20 to analyze its gray value distribution and calculate the optimal threshold value t. ``Good value J! I! L,, 6th
The threshold-processed image P2 shown in the figure is stored in the image temporary storage circuit 2.
3 and displayed on the image display device 25. While generating the threshold processing image fiP2, the extraction motor for the processing line of the C2D step provided in the computer 20 is set based on the needs of laser processing, and the contour line is extracted for each processing using a program for extracting the processing line. The gray value within the contour line is converted only when the contour line is extracted, so that it can be distinguished from the skeleton whose gray value is not converted. Note that in a color display, it is possible and desirable to display the inside of the outline in a different color. The machining lines in the D step are taken out for each line from left to right and from top to bottom of the screen according to the xy coordinates, and the machining line image 1 shown in FIG. 7 is extracted 1q. Note that the xy coordinates referred to in the present invention are, for example, as shown in FIG.
@, the left side is the y-axis. Regarding this machining line picture tlilP3, the coordinate data for displaying each machining line is arranged in the smoothest manner using a program provided in the computer 20 that smoothly arranges and files the machining lines G of the E step. Only the coordinate data for displaying each arranged machining line is stored in an external storage device such as a hard disk or floppy disk attached to the computer 20. (
(not shown), and the data of the entire image including the processing lines temporarily stored in the image temporary storage circuit 23 is deleted. Note that filing to the external storage device r and erasing the pressure line image from the image temporary storage circuit 23 are performed for each processing line. For example, the seventh
In the figure, first circle part o 31 from the outside in the order of xy coordinates 7? At the same time, the image data of this circle portion p31 is erased from the image temporary storage circuit 23. Next, the inner character portion p30 is filed and deleted from the image data storage circuit 23 of this character portion D30. The work of vectorizing the coordinate data of each processing line in step F is a program prepared in Microcombi 20 that vectorizes the coordinate data of each processing line, and the feature points pro, In addition to removing p41, each feature point pi, -pi, . Each p41-p41 is connected by a vector. As a result, not only can the amount of information to be processed and LIP be significantly reduced, but also it becomes possible to convert it into an operation program for Sea 1F addition [Katsuki 4]. The G step is performed by a program provided in the microcomputer 20 that sets a machining start point (point 17) for the coordinate array of each machining line converted into coordinate vector data. The program is as follows: 1. Display the primitive starting point (end point) for each machining line using xy coordinates; 2. Display the primitive starting point (end point) for each machining line; Setting (end point) is done in steps. The step 1 is performed by a program provided in the microphone n:1 monitor 20 to set the optimum machining path. The I step is provided in the microcomputer 20.
A program that converts the vector coordinate data that has undergone the necessary processing into an operating program for computer numerical value tlrJ (CNC) and the CNC signal conversion circuit 26 converts vector coordinate data into computer numerical value t21I (CNC).
CN C operating program through a standard information transfer interface, e.g. R3-232.
2+II IIInBr3 to control the operation of the laser processing machine 4 and execute a predetermined laser processing. Effects of the Invention The laser pressurization method and apparatus with the aid of a PA system according to the present invention utilizes a lid image means and a single stage of image processing to irradiate figures and objects representing a processing line with the actuation block of a combination coater numerically controlled. Since it can be converted to 1 gram, the labor and time for setup can be significantly reduced, and it can be used in flexible production systems that produce a wide variety of products in small quantities. In addition, the visually assisted laser processing method and apparatus according to the present invention use a COD solid-state camera with little image distortion and employ moment preservation threshold processing in threshold processing, so that the original image can be faithfully reproduced. +11 to
We can provide a machining line that shows the appearance, and even when taking out the machining line, there is no need to take out by contour line or bone! Since it is possible to automatically determine whether the extraction is based on 8 lines, reliable sea 11 processing can be carried out. Furthermore, the laser processing apparatus according to the present invention is extremely practical because it can be combined with easily available and low-cost microcombustors, image display devices, and the like.

[Brief explanation of the drawing]

FIG. 1 is a flow plate showing a visually assisted laser processing method according to the present invention, and FIG. 2 is an overall configuration diagram showing a visually assisted laser processing device according to the present invention.
Fig. 3 is an explanatory diagram showing an example of a figure without showing a processing line, Fig. 4 is an explanatory diagram showing a primitive gray IIi image, Fig. 5 is an explanatory diagram showing a 9-can moment of gray value, and Fig. 6 is an explanatory diagram showing an example of a figure. FIG. 7 is an explanatory diagram showing the extracted K2 line, FIG. 8 is an explanatory diagram showing the machining line subjected to curve approximation processing, and FIG. 9 is an explanatory diagram showing the processing starting point ( FIG. 3 is an explanatory diagram that does not show a machining line in which an end point) and an optimal machining route are set. (Main symbols in the drawings) 1...M image means, 2...image processing means, 3...C
NC control device, 4... Laser processing machine, 20... Microcomputer, 21... Image processing panel, 22...
...Digital image generation circuit, 23...Image temporary storage circuit, 24...Display logic circuit, 25...
- Image display device, 26... Image vector coordinate conversion circuit, 27... Operation keyboard, Δ~1... Each step related to the present invention, K, L... Addition, [start point to end of line] point), S...Moment on the gray area distribution of the prohibited area, 1...Moment on the gray value distribution of the image area.

Claims (4)

[Claims] (1) A laser processing method using visual aids, in which step A: a two-dimensional figure and object representing the processing line are photographed to obtain a primitive gray value image, and step B...
・Threshold processing the original gray value image to obtain a threshold processed image with enhanced contrast, C step...The threshold processed image is a. A mode for extracting the outline of the image. b. The skeleton of the image. Select one of the three selection modes: line extraction mode, C, image contour line and skeleton line extraction mode, and set the extraction of each processing line. D step... Each set processing line According to the extraction mode, each processing line is extracted as coordinate data from the threshold-processed image according to the XY coordinates added from left to right and from top to bottom, and E step... is extracted as coordinate data. Each machining line is arranged smoothly and filed, F step... Each machining line filed as coordinate data is converted into coordinate vector data, and G step...
... Set the start point and end point of machining for the coordinate array of each machining line converted into coordinate vector data, and H step... Set the coordinate vector of each machining line based on the start point and end point of machining. The optimum machining path is set to process from the inside to the outside, and the I step...The coordinate vector data of each machining line set as described above is converted into a computer numerical control (CNC) operating program. A visually assisted laser machining method comprising the steps of inputting information to a computer numerical control (CNC) control device to control the machining path of a laser beam machine and executing laser machining. (2) In step C, when the contour line extraction setting is made, the inside of the contour line is filled with a predetermined gray value different from the minimum gray value of the threshold-processed image, and when the skeleton line extraction setting is made, the minimum 2. The visually assisted laser processing method according to claim 1, wherein the laser processing method is formed so as to maintain a gray value as it is. (3) A device for laser processing using visual aid means, comprising an imaging means for taking two-dimensional images of figures and objects indicating the processing line, and an image processing means for performing image processing using a microcomputer. and computer numerical control (CN)
It is composed of a control device (C) and a laser processing machine, and the image processing means is equipped with an image display device and an operation keyboard, a digital image generation circuit that converts an analog image into a digital image, and a temporary storage for digital images. A display logic circuit for displaying images on a digital image display device, and an image vector coordinate conversion circuit for converting the coordinate data of the processing line that has undergone necessary processing into coordinate vector data. A program that performs threshold processing on a two-dimensional image obtained by an imaging means, a program that selects and extracts contour lines and skeletal lines as processing lines, a program that converts coordinate data into vector coordinate data, and a program that performs processing. A program to set the start and end points,
Computer numerical control (C
1. An apparatus for visually assisted laser processing, characterized in that it is equipped with a program for converting into an operation program of an NC). (4) The apparatus for visually assisted laser processing according to claim 3, wherein the imaging means is a solid-state camera using a charge-coupled device (CCD) as a solid-state imaging device.