TW201820267A - Combined image scraping quality evaluation system including an image capturing module, a merged image processing module, an operation module and a display module - Google Patents

Abstract

A combined image scraping quality evaluation system for detecting a scraping area of a scraping pattern and the number of scraping scatters on the surface. The system includes an image capturing module, a merged image processing module, an operation module and a display module. The image capturing module captures a first partial image and a second partial image at different positions. The merged image processing module combines the first partial image and the second partial image to form a complete scraping pattern image. The operation module detects the complete scraping pattern image and calculates the scraping area of the scraping pattern. The display module displays the scraping area of the scraping pattern and the number of scraping scatters on the surface. The invention can examine scraping pattern with a larger area with a quick and simple way.

Description

Combined image-type spade quality evaluation system

The invention relates to a shovel flower quality evaluation system, in particular to a combined image-type shovel flower quality evaluation system.

Scraping is an important method for adjusting the accuracy and performance of precision machinery assembly such as machine tools. At present, the industry judges the quality of a workpiece's shovel flower by the shovel flower spot, and the bearing spot in a standard gauge window The number is defined as PPI (the number of spots per inch squared), and the ratio of the spot area within the window to the total area of the window is POP (the percentage of the spot area per square inch). Different machine tools have their own PPI, POP is required to meet various needs.

At present, the inspection is mainly performed directly by human eyes, but the error of manual interpretation is very large, which makes the quality of the shovel work piece unable to be standardized and effectively improved. Therefore, some people have invented the use of automated detection devices for related inspections, such as the Republic of China Patent Publication No. I383125 "Apparatus and method for scanning shovel surface using laser light source", which includes a light source unit, a platform device, and a feeding device, a shovel work piece is disposed on the platform device, and the light source unit projects The light beam reaches the scooping workpiece, and receives the scattered beam to obtain a minute height change of the surface profile of the scooping workpiece. The feeding device is assembled on the platform device and used to fix and drive the light source unit to drive the light source unit. The light source unit moves along the contour of the surface of the scooped workpiece to perform measurement.

Although using the machine to detect can reduce the error, the measuring equipment is expensive and the measurement methods are complicated, and it is impossible to measure in real time. In addition, it is also difficult to detect the surface of large spade flowers. Therefore, how to reduce The cost of equipment, improving the speed and convenience of inspection, and facilitating the inspection of large-scale shovel surfaces are really the issues facing relevant industry players.

The main purpose of the present invention is to solve the problems of high equipment cost, complicated and slow detection method, and difficult detection of large spade surface.

In order to achieve the above object, the present invention provides a combined image-type scooping flower quality evaluation system, which is used to measure a surface shovel pattern of a shovel workpiece to detect the shovel flower bearing area of the surface shovel pattern. The combined image-type shovel flower quality evaluation system includes an image capture module, a combined image processing module, an operation module, and a display module. The image capture module extracts different patterns from the surface shovel. A first partial image at a position and a second partial image adjacent to the first partial image, the combined image processing module is electrically connected to the image capturing module, and combines the first partial image and the first partial image Two partial images form a complete shovel pattern road image, the computing module is electrically connected to the combined image processing module, and detects the complete shovel pattern road image to calculate the shovel flower bearing area of the surface shovel pattern. The display module is electrically connected to the combined image processing module and the computing module, and displays the area of the shovel flower bearing spot of the complete shovel pattern image and the surface shovel pattern.

In order to achieve the above object, the present invention also provides a combined image-type scooping flower quality evaluation system, which is used to measure a surface shovel pattern of a shovel workpiece to detect the shovel flower spot on the surface shovel pattern. The combined image-type spade quality evaluation system includes an image capture module, a combined image processing module, an arithmetic module, and a display module. The image capture module extracts the surface shovel pattern. A first partial image at a different position and a second partial image adjacent to the first partial image. The combined image processing module is electrically connected to the image capture module, and combines the first partial image and the first partial image. The second partial image forms a complete shovel pattern image. The computing module is electrically connected to the combined image processing module and detects the complete shovel pattern image to calculate the number of spots on the surface shovel pattern. The display module is electrically connected to the combined image processing module and the operation module, and displays the number of spots of the shovel flower bearing of the complete shovel pattern image and the surface shovel pattern.

In summary, the present invention has the following characteristics:

1. The arithmetic module can calculate the image of the complete shovel pattern road after merging, and can measure the surface shovel pattern road with a larger area to improve the convenience in use.

2. The image capture module can be a lens of a mobile phone or a digital camera. It is simple and convenient to use, low in cost and high in popularity. After the flower scraping is completed, the measurement can be performed in real time to improve the application and promotion. Convenience.

3. Only need to capture the image through the image capture module, and then merge the image through the combined image processing module, and then get the result through the calculation module operation, making the measurement method simple and fast.

The detailed description and technical contents of the present invention are described below with reference to the drawings:

Please refer to "Figure 1" and "Figure 2", the present invention is a combined image-type scooping quality evaluation system, which is used to measure a surface scooping pattern of a scooping workpiece (not shown), The shovel flower spot area or the number of shovel flower spots on the surface of the shovel pattern is detected, and the shovel flower spot area ratio is generally expressed by POP (spot flower area to total area ratio). PPI (the number of spots per inch squared) indicates that the combined image-type spade quality evaluation system includes an image capture module 10, a combined image processing module 20, a computing module 30, and a display module 40. The image capture module 10 captures a first partial image 1 and a second partial image 2 adjacent to the first partial image 1 at different positions on the surface shovel pattern. In this embodiment, It further includes a third partial image 3 and a fourth partial image 4, and then, the combined image processing module 20 will combine the first partial image 1, the second partial image 2, the third partial image 3, and the first partial image. The four partial images 4 are combined to form a complete shovel pattern image 5. Then, the operation The calculation module 30 detects the complete shovel pattern image 5 and calculates the shovel flower spot area or the number of shovel flower spots on the surface shovel pattern. In order to clearly express the combination, "Fig. 2" is a schematic illustration using a color pattern.

In this way, after the merged image processing module 20 merges the images, the operation module 30 can calculate the complete shovel pattern road image 5, so the present invention can measure the surface shovel pattern with a large area. Improve the convenience in use. In addition, by using a simple lens such as a general mobile phone as the image capture module 10, image capture of the surface shovel pattern can be performed in real time, and calculation can be performed directly on the mobile phone. That is, the computing module 30 can be installed in the mobile phone, such as APP, and then displayed on the screen of the mobile phone (that is, the display module 40). It is not necessary to be limited to the machine in use, simple and convenient, and the mobile phone It also has the advantages of low cost and high popularity, which can improve the convenience in application and promotion.

In this embodiment, the combined image processing module 20 further includes a homogenizing unit 21 and a combining unit 22, and the image capturing module 10 will capture a plurality of the first partial images 1 and a plurality of the first Two partial images 2. The homogenizing unit 21 performs brightness equalization on the first partial images 1 and the second partial images 2 to obtain a first partial image and a second partial image. The combining unit 22 then combines the homogenized first partial image and the homogenized second partial image to form the complete shovel pattern road image 5, thereby reducing interference from external light sources and the like, thereby reducing detection errors. .

In addition, the computing module 30 further includes an area cutting unit 31, a detection unit 32, and a total calculation unit 33. First, the area cutting unit 31 cuts the complete shovel pattern road image 5 into a plurality of detection images. In the embodiment, the image capturing module 10 captures four partial images (the first partial image 1 to the fourth partial image 4), but the number of the detection images does not have to be equal to four. In order to increase or decrease according to the size of the complete shovel pattern road image 5, the detection unit 32 detects the detection images separately to calculate the shovel bearing spot area of the detection images, and then sums up The calculation unit 33 calculates the shovel flower spot area of the detection images to obtain the shovel flower spot area of the surface shovel pattern, and displays the detection images and the shovel flower spot on the display module 40. Area for users to watch.

However, the shovel flower spot area of the test images and the shovel flower spot area of the surface shovel pattern obtained after the summation are different, and in order to show the difference between the two, a comparison can be included Unit 34. The comparison unit 34 compares the respective shovel spot area of the detection images with the shovel spot area of the surface shovel pattern, calculates a comparison value, and displays the comparison value on the display module 40. For example, when the display module 40 displays one of the detection images, it will also display the shovel flower spot area of the detection image and the shovel flower spot on the surface shovel pattern. The difference between the area and the area of the shovel flower bearing spot is the comparison value, and in order to facilitate the user's interpretation, different colors can be used to display the mark.

The calculation method of the number of spots on the shovel is the same as that of calculating the area of the spots on the shovel, but the number of spots on the shovel can also be calculated using a distribution rate calculation unit 35 and a distribution rate totalization unit 36 in the calculation module 30. Further calculation, after the detection unit 32 detects the number of scoop flowers on the detection images, the distribution rate calculation unit 35 receives the number of scoop flowers on the detection images and obtains a number of local scoop flowers Distribution rate, the calculation formula is as follows:

Then, the distribution rate summing unit 36 calculates the distribution rates of the number of spotted flower spots on the surface to obtain the average distribution rate of the number of spotted flowers on the surface of the shovel pattern. The calculation formula is as follows:

Then, the predetermined shovel flower spot area and the number of shovel flower spots are input to the operation module 30 through a comparison module 70, and the calculation module 30 compares the predetermined shovel flower spot area and the shovel flower spot number. Perform a correlation comparison with the area of the shovel flower spot and the number of shovel flower spots on the surface shovel pattern road to generate a comparison result. When the comparison result meets the requirements, the operation is completed, and if the comparison result is not When they match, the calculation module 30 calculates the complete shovel pattern image 5 and displays a to-be-corrected area corresponding to the surface shovel pattern on the display module 40 to facilitate users to make further corrections. .

Refer to FIG. 3 for continued matching. In this embodiment, a wireless transmission module 50 and a computing processing device 60 are further included. The wireless transmission module 50 is electrically connected to the combined image processing module 20 and transmits. The complete shovel pattern image 5 reaches the calculation processing device 60, and the calculation module 30, the display module 40, and the comparison module 70 are disposed in the calculation processing device 60. Therefore, this embodiment may be After capturing and merging the images with a mobile phone or a camera, they are wirelessly transmitted to the computing processing device 60 such as a computer for calculation.

In summary, the present invention has the following characteristics:

1. After the merged image processing module merges the images, the computing module can calculate the complete shovel pattern road image, so the present invention can measure the surface shovel pattern road with a larger area, improving the convenience in use Sex.

2. Using a simple lens as the image capture module, the image capture of the surface shovel pattern can be captured in real time, and it is not necessary to be limited to the machine in use. It is simple and convenient, and has low cost and popularity. High advantages, and can improve the convenience of application and promotion.

3. With the setting of the homogenizing unit, the interference of external light sources and the like can be reduced to reduce detection errors.

4. With the setting of the comparison unit, the overall and local shovel flower spot area and the number of shovel flower spot can be compared to facilitate the user's judgment.

5. With the setting of the comparison module, a predetermined shovel flower spot area or number of shovel flower spots can be preset, and it is performed with the shovel flower spot area and shovel flower spot number of the surface shovel pattern road. Relevant comparisons to ensure compliance with the predetermined goals, and if not, the area to be corrected will also be displayed to facilitate users to make further corrections.

Therefore, the present invention is highly progressive and meets the requirements for applying for an invention patent. The application was submitted in accordance with the law.

The present invention has been described in detail above, but the above is only a preferred embodiment of the present invention, and the scope of implementation of the present invention cannot be limited. That is, all equivalent changes and modifications made in accordance with the scope of the application of the present invention should still fall within the scope of the patent of the present invention.

1‧‧‧ first partial image

2‧‧‧ second partial image

3‧‧‧ third partial image

4‧‧‧ Fourth partial image

5‧‧‧ Complete shovel pattern road image

10‧‧‧Image capture module

20‧‧‧ Combined image processing module

21‧‧‧ homogenization unit

22‧‧‧Combination unit

30‧‧‧ Computing Module

31‧‧‧Zone cutting unit

32‧‧‧ Detection Unit

33‧‧‧total calculation unit

34‧‧‧ Comparison Unit

35‧‧‧Distribution rate calculation unit

36‧‧‧ Distribution Rate Sum Unit

40‧‧‧Display Module

50‧‧‧Wireless transmission module

60‧‧‧ Computing Processing Device

70‧‧‧ Comparison module

FIG. 1 is a functional block diagram of a first embodiment of the present invention. FIG. 2 is a schematic diagram of image merging according to the first embodiment of the present invention. FIG. 3 is a functional block diagram of a second embodiment of the present invention.

Claims (15)

A combined image-type shovel flower quality evaluation system is used to measure a surface shovel pattern of a shovel work piece to detect the area of the shovel flower bearing spot of the surface shovel pattern. The combined image-type shovel flower quality The evaluation system includes: an image capture module, which captures a first partial image and a second partial image adjacent to the first partial image at different positions on the surface shovel pattern; A combined image processing module electrically connected to the image capturing module, the combined image processing module combining the first partial image and the second partial image to form a complete shovel pattern road image; An arithmetic module of the combined image processing module, the arithmetic module detecting the image of the complete shovel pattern and calculating a shovel flower bearing spot area of the surface shovel pattern; and a combined image processing module and the arithmetic module An electrically connected display module is displayed. The display module displays the image of the complete shovel pattern and the area of the shovel flower bearing spot of the surface shovel pattern. The combined image-type spade quality evaluation system described in item 1 of the scope of patent application, which further includes a wireless transmission module and a calculation processing device, the wireless transmission module is electrically connected to the combined image processing module and transmitted The complete shovel pattern image is transmitted to the calculation processing device, and the calculation module and the display module are disposed in the calculation processing device. The combined image-type spade flower quality evaluation system described in item 1 of the patent application scope further includes a comparison module electrically connected to the computing module, and the comparison module inputs a predetermined spade spot bearing area To the computing module, and the computing module compares the predetermined shovel flower spot area with the surface shovel flower spot area of the surface shovel pattern to generate a comparison result. According to the combined image-type scooping quality evaluation system described in item 3 of the scope of patent application, where the comparison result is not consistent, the computing module calculates the complete scooping pattern image and displays it on the display module A region to be corrected corresponding to the surface shovel pattern is produced. According to the combined image-type scooping quality evaluation system described in item 1 of the scope of patent application, the computing module further includes an area cutting unit, a detection unit, and a total calculation unit. The area cutting unit adds the complete shovel pattern The road image is cut into a plurality of detection images. The detection unit detects the detection images to calculate the shovel flower spot area of the detection images. The total calculation unit shovel flower spot area of the detection images. A calculation is performed to obtain the shovel flower spot area of the surface shovel pattern, and the display module displays the detection images and the shovel flower spot area. According to the combined image-type scooping flower quality evaluation system described in item 5 of the patent application scope, the computing module further includes a comparison unit that compares the respective scooping flower spot area of the test images with the surface scooping pattern The area of the flower spot on the road is compared, and a comparison value is calculated, and the comparison value is displayed on the display module. The combined image-type spade quality evaluation system described in item 1 of the scope of the patent application, wherein the combined image processing module further includes a homogenizing unit and a combining unit, and the image capturing module captures a plurality of the first A local image and a plurality of the second partial images, and the homogenizing unit performs brightness equalization on the first partial images and the second partial images to obtain an equalized first partial image and an equalized second Local image, the combining unit combines the homogenized first local image and the homogenized second local image to form the complete shovel pattern image. A combined image-type shovel flower quality evaluation system is used to measure a surface shovel pattern of a shovel workpiece to detect the number of spots on the surface shovel pattern. The combined image-type shovel quality The evaluation system includes: an image capture module, which captures a first partial image and a second partial image adjacent to the first partial image at different positions on the surface shovel pattern; A combined image processing module electrically connected to the image capturing module, the combined image processing module combining the first partial image and the second partial image to form a complete shovel pattern road image; An operation module of the combined image processing module, the operation module detecting the image of the complete shovel pattern and calculating the number of spots on the surface of the shovel pattern; and a combined image processing module and the operation module An electrically connected display module is displayed. The display module displays the image of the complete shovel pattern and the number of spots on the surface of the shovel pattern. According to the combined image-type spade quality evaluation system described in item 8 of the scope of patent application, it further includes a wireless transmission module and a computing processing device, and the wireless transmission module is electrically connected to the combined image processing module and transmitted The complete shovel pattern image is transmitted to the calculation processing device, and the calculation module and the display module are disposed in the calculation processing device. The combined image-type spade flower quality evaluation system described in item 8 of the scope of patent application, which further includes a comparison module electrically connected to the computing module. The comparison module inputs a predetermined number of spade flower spot spots. To the operation module, and the operation module compares the predetermined number of shovel flower spots with the number of shovel flower spots on the surface shovel pattern to generate a comparison result. According to the combined image-type shovel quality evaluation system described in item 10 of the scope of patent application, wherein when the comparison result is not consistent, the calculation module calculates the complete shovel pattern image and displays it on the display module A region to be corrected corresponding to the surface shovel pattern is produced. According to the combined image-type scooping quality evaluation system described in item 8 of the scope of the patent application, the computing module further includes an area cutting unit, a detection unit, and a total calculation unit. The area cutting unit adds the complete shovel pattern The road image is cut into a plurality of detection images. The detection unit detects the detection images to calculate the number of scoop spots on the detection images. The total calculation unit calculates the number of scoop spots on the detection images. Perform calculation to obtain the number of spots on the surface shovel pattern, and the display module displays the detection images and the number of spots on the shovel. According to the combined image-type scooping flower quality evaluation system described in item 12 of the scope of patent application, the computing module further includes a comparison unit that compares the number of scooping flower spots on the test images with the surface scooping pattern The number of shovel flower spots on the road is compared, and a comparison value is calculated, and the comparison value is displayed on the display module. According to the combined image-type spade quality evaluation system described in item 12 of the scope of the patent application, the operation module further includes a distribution rate calculation unit and a distribution rate totalization unit, and the distribution rate calculation unit receives the detection images. The number of spots on the shovel flower and a distribution rate of the number of spots on the shovel flower are obtained, and the distribution rate summing unit calculates the distribution rate of the number of spots on the shovel flower to obtain a number of spots on the surface shovel pattern. Number average distribution rate. The combined image-type spade quality evaluation system according to item 8 of the scope of patent application, wherein the combined image processing module further includes a homogenizing unit and a combining unit, and the image capturing module captures a plurality of the first A local image and a plurality of the second partial images, and the homogenizing unit performs brightness equalization on the first partial images and the second partial images to obtain an equalized first partial image and an equalized second Local image, the combining unit combines the homogenized first local image and the homogenized second local image to form the complete shovel pattern image.