WO2017162750A1 - Procédé et dispositif de mesure de la taille de granules - Google Patents
Procédé et dispositif de mesure de la taille de granules Download PDFInfo
- Publication number
- WO2017162750A1 WO2017162750A1 PCT/EP2017/056845 EP2017056845W WO2017162750A1 WO 2017162750 A1 WO2017162750 A1 WO 2017162750A1 EP 2017056845 W EP2017056845 W EP 2017056845W WO 2017162750 A1 WO2017162750 A1 WO 2017162750A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- image
- granules
- support
- size
- color
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30128—Food products
Definitions
- the invention relates to the field of control of the manufacture of granules including those for animals.
- it relates to a method and a device for measuring the size of granules, in order to control their size. Measuring the size of the granules makes it possible, for example, to study the statistical distribution of the size of the different granules. State of the art
- Granules of animal feed are generally cylinders of revolution whose size (diameter and length) depends on the size of the animals to be fed by these granules.
- the size (diameter and length) of the granules is an important criterion.
- the animals may have difficulty swallowing them.
- the pellet is too small the amount of food ingested by the animals is decreased and the nutritional properties are diminished.
- the manufacture of granules of animal feed is generally carried out by extruding a pasta through a die.
- a sample of granules for example fifty granules, is taken.
- the diameter and the length of each of these fifty granules are measured in order to check if the granules manufactured have the desired size.
- the measurement of the diameter and the length of the granules is carried out with one foot a slide by an operator. Once the data is measured by the operator, the operator must manually enter the measured data into a computer system so that statistical processing of the size of the granules of the sample taken is performed.
- the current measurement method may encounter reproducibility problems, the measurement of the diameter and the length of granules may vary depending on the operator who performs the measurement.
- the current granulometric measurement method may also encounter repeatability problems, the measurement of the diameter and the length being able to vary while the same operator is measuring the same granule.
- the invention overcomes the aforementioned drawbacks.
- the invention relates to a method for measuring the size of granules arranged on a support, comprising the following steps:
- E2 image processing acquired to identify surfaces that each correspond to a granule
- E3 determination of the number of pixels of the surfaces corresponding to the identified granules, the number of pixels corresponding to the size of each granule.
- the support has a color different from the color of the granules to be measured, the processing step E2 consisting in distinguishing surfaces which differ from the support by their color;
- the determination step E3 comprises a comparison of the number of pixels of each surface that corresponds to each identified granule to a standard value in order to deduce the size of each granule;
- a standard is placed on the support, the acquired image thus comprising the standard;
- the step E2 of image processing comprises the following step:
- the image acquired during the acquisition step E1 is an RGB color image
- the image binarization step E20 comprises the following steps:
- the image acquired during the acquisition step E1 is a gray level image
- the image binarization step E20 comprises the step: E22: transformation of the grayscale image into a binary image comprising only black and white pixels
- the measurement step E3 comprises the step:
- the invention relates to a method for determining the size of granules comprising the following steps:
- A1 arrangement of granules on a support
- A2 acquisition of an image of the granules on the support by means of an image sensor
- A3 Image processing by a processing unit implementing the measurement method according to the first aspect of the invention.
- the granules are arranged on the support in a circle centered with respect to the image sensor;
- the determination method comprises the following step:
- the invention also relates, according to a third aspect, to an optical device for measuring the size of granules by means of a method according to the second aspect of the invention, the device comprising:
- an enclosure comprising a light-opaque wall delimiting an internal cavity
- a support configured to support the granules to be measured; an image sensor configured to acquire a digital image of the interior of the internal cavity in which the medium is disposed, said sensor being further configured to transmit the acquired image to a processing unit.
- the device according to the third aspect of the invention is advantageously completed by the following features, taken alone or in any of their technically possible combinations:
- the support comprises orifices forming a circle centered with respect to the image sensor for the arrangement of the granules on said support;
- the device further comprises an illumination unit of the internal cavity of the enclosure;
- the support is transparent, the wall of the enclosure comprising an attachment configured to fix the support to said wall, said fixing being situated between the image sensor and the illumination unit;
- the device comprises a standard located on the support, said standard being different in color from the color of said support.
- the invention also relates, according to a fourth aspect, to an assembly for implementing the method according to the second aspect of the invention, the assembly comprising:
- the assembly further comprises a user interface station in connection with the processing unit.
- FIG. 1 illustrates the set for determining the size of the granules according to one embodiment of the invention
- FIG. 2 illustrates a perspective view of an optical device for measuring the size of granules according to one embodiment of the invention
- FIG. 3 illustrates a perspective view of a support of the measuring device of FIG. 2;
- Figure 4 illustrates an example of an acquired image
- FIG. 5 schematically illustrates steps of a method for determining the size of granules according to one embodiment of the invention
- Figure 6 schematically illustrates substeps of the process of Figure 5;
- FIG. 7 schematically illustrates sub-steps of the method of FIG. 5.
- an assembly 1 for determining the size of granules As shown in FIG. 1, an assembly 1 for determining the size of granules according to one embodiment of the invention.
- Such an assembly 1 comprises a device 2 for measuring the size of the granules 5 in connection connection (wired or wireless) with a processing unit 3 configured to implement a method of measuring the size of granules which will be described below.
- the set 1 comprises a user interface station 4 which is connected to the processing unit 3.
- a user interface station allows the user to enter data, to consult data or to parameterize the process. It can be a touch pad, a smartphone (smartphone), a keyboard associated with a screen.
- the granules 5 are cylinders formed of a pasta and are brown in color.
- the granules 5 are generally cylinders of revolution (circular cross section), but the granules 5 can also be cylinders of square section.
- the method of measuring the size of the granules which will be described in detail below makes it possible to acquire a digital image of the granules 5 to be measured with the device 2, to perform a treatment of the image of the granules 5 by means of the processing unit 3 so as to determine the size of each of said granules 4.
- a statistical analysis on the size of the granules thus measured can be carried out by the processing unit 3.
- the processing unit 3 can thus determine the maximum size and minimum size of the measured pellets, the average size, and the standard deviation.
- the size of the granules and the different statistics on the size of said granules can be transmitted and displayed on the user interface station 4.
- the method makes it possible to measure the length of the granules 5, or their section (the diameter when the granules 5 are cylinders of revolution).
- the device 2 comprises an enclosure 21 which comprises a wall 22 opaque to light.
- the wall 22 defines an internal cavity 23 of the enclosure 21.
- the enclosure 21 has a parallelepipedal shape. However, other forms of enclosure 21 are possible.
- the device 2 also comprises a support 24 on which the granules 5 are arranged.
- the support 24 is disposed inside the internal cavity 23.
- the support 24 makes it possible to hold the granules 5 in position inside the enclosure 21.
- the support 24 may for example be a tray on which the granules 5 are arranged.
- the support 24 has a different color of the granules 5.
- the support 24 may for example be white while the granules 5 are brown. As will be understood, the support is of a different color from that of the granules to be measured.
- the support 24 may comprise orifices 24a in which the granules 5 may be placed.
- the support 24 is removably fixed to the enclosure 21 by the intermediate fastener 21a located inside the inner cavity 23.
- the fastener 21a may for example be formed of two opposite grooves in which two opposite edges of the support 24 are slipped, so as to maintain in position said
- the fastener 21a may also consist of a plurality of pins protruding from the wall 22 towards the inside of the internal cavity 23 and on which the support 24 may come to rest so as to be held in position in the internal cavity 23.
- the device 2 further comprises an image sensor 25 which makes it possible to acquire an image of the inside of the internal cavity 23 of the enclosure 21.
- the image sensor 25 therefore makes it possible to acquire a digital image of the granules 5 disposed on the support 24.
- the image sensor 25 can be consisting of a digital camera, a camera, or any other device to acquire an image and transfer it in digital form.
- the image sensor 25 may be an RGB (red, blue green) or grayscale color image sensor.
- the image acquired by the image sensor 25 is a top view of the granules 5 disposed on the support 24.
- the granules 5 are cylinders of revolution, then the image acquired by the image sensor
- FIG. 25 is a plurality of circles of a first color corresponding to the granules 5 on a bottom of a second color corresponding to the support 24, each circle then defining a surface which corresponds to a granule.
- Figure 4 illustrates an example of an acquired image.
- the wall 22 of the enclosure 21 makes it possible to limit or even prevent the entry of external light into the interior cavity 23, which makes it possible to control the brightness inside the internal cavity 23 so that the Images acquired by the image sensor 25 have the best possible quality so that the granules 5 of the support 24 are more distinctly distinguishable from the image.
- the device 2 comprises a standard 26 which is situated on the support 24.
- the standard 26 is located next to the granules 5 disposed on the support 24, so that when the image sensor acquires the image of the granules 5 on the support 24, the image comprises the standard 26.
- the standard 26 has a different color of the support 24.
- the standard may be brown or black, while the support is white.
- Standard 26 is an element whose size is known so that it is possible to determine the size of the granules arranged next to said standard.
- the device 2 comprises an illumination unit 27 situated inside the internal cavity 23 and which makes it possible to illuminate the interior of said internal cavity 23.
- the illumination unit 27 allows have the desired brightness inside the internal cavity 23, so that the quality of the image acquired by the image sensor 25 has the best quality possible, to better distinguish the granules 5 of the support 24 on the image.
- the illumination unit 27 may be formed of a lamp or of a plurality of light-emitting diodes whose ignition is synchronized with the image acquisition by the image sensor 25 so that said unit of illumination illumination 27 is illuminated when the image sensor 25 acquires an image of the granules 5 disposed on the support 24.
- the support 24 is transparent to visible light and said support 24 is fixed inside the internal cavity 23 between the image sensor 25 and the illumination unit 27.
- the illumination unit is lit, the light emitted by said illumination unit passes through the support 24, but does not pass through the granules 5 which are themselves opaque.
- the illumination unit 27 emits light of a color different from the color of the granules 5.
- the illumination unit may be formed of a plurality of the blue light emitting diodes.
- the image is a plurality of dark gray circles corresponding to the granules 5 on a light gray background corresponding to the illumination unit 27 through the support 24.
- Such a variant makes it possible to obtain a good contrast between the granules 5 and the background on the image acquired by the image sensor 25, thus making it easy to distinguish the granules 5 on the image.
- the processing unit 3 comprises a processor and a memory
- the processing unit is connected to the image sensor 25 of the device 2 so that after acquiring an image, said image sensor 25 transfers said image to the processing unit 3.
- the processing unit 3 may be connected to the image sensor 25 with a wired connection or a wireless connection.
- the user interface station 4 comprises a screen, for example a computer screen or a telephone screen on which are displayed the data measured by the processing unit 3.
- the user interface station 4 may be connected to the processing unit 3 with a wired connection or a wireless connection.
- the user interface station 4 may be located at a distance from the processing unit 3 and the device 2. Thus, it is possible for a user to monitor the data on the size of the granules produced while at a distance from the where the pellets are made. It may be, for example, in a city or country different from the city or country in which the granules are manufactured and measured.
- the method for determining the size of the granules 5 implemented by the assembly 1 comprises the following steps:
- A1 arrangement of the granules 5 on the support 24
- A2 acquisition of an image of the granules 5 arranged on the support 24 by means of the image sensor 25;
- A3 Treatment of the image by the treatment unit 3 by implementing a method for measuring the size of the granules 5
- the method of measuring the size of the granules 5 implemented by the processing unit 3 comprises the following steps:
- E1 acquisition of a digital image of the granules 5 arranged on the support 24.
- the image is acquired from the image sensor 25 which is in connection with the processing unit 3.
- the image acquired by the unit processing 3 consists of a matrix of pixels of different colors.
- the image can be in RGB color (for Red-Green-Blue), or in gray level.
- the surfaces can be identified by identifying closed contours, the closed contours each defining a surface.
- the image acquired from the image sensor 25 in fact comprises a plurality of surfaces of a first color corresponding to the granules on a background of a second color corresponding to the support 24.
- the surfaces of the first color may for example be circles , each circle corresponding to a granule 5.
- This processing step E2 makes it possible to distinguish the granules 5 from the support 24 by detecting the surfaces corresponding to the granules 5.
- E3 determination of the number of pixels of the identified surfaces corresponding to the granules, the number of pixels corresponding to the size of each granule. For example, in order to determine the diameter of a granule corresponding to a surface of first color detected by the processing unit 3 during the processing step E2, the number of pixels forming this surface is counted. The size of a pixel being known, it is possible to deduce the size of the surface of the first color, and therefore the diameter of the granule 5 corresponding to this surface.
- the identification of the surfaces during the step E2 of image processing can be performed by distinguishing the color between the surfaces and the background color of the image corresponding to the support 24. This identification can be performed by distinguishing the closed outlines defining the surfaces and the background color of the image corresponding to the support 24.
- the measurement step E3 may comprise a step of comparing the number of pixels of each of the surfaces identified during the image processing step E2 with a reference value in order to determine the size of said surfaces.
- the standard value is used to determine which area (in square millimeters) is covered by a pixel in the image.
- the standard value can be obtained from the standard 26 disposed on the support 24.
- the standard is an element whose size is known.
- the area corresponding to the standard is identified (for example by identifying a surface having a color different from the color of the support 24 and which is located at a predetermined position on the image, this surface can be identified by locating its closed contour), and the number of pixels forming the surface corresponding to the standard 26 is determined. Knowing the size of the standard and the number of pixels forming the standard 26 on the image, the area covered (in square millimeters) by a pixel on the image is then deduced.
- the standard value may also be a predetermined value which is defined before taking the image with the image sensor 25.
- this variant requires that the support be disposed at a known distance from the image sensor 25, and that this distance does not vary between each measurement of a sample of granules 5.
- the step E2 of image processing by the processing unit 3 may comprise a step E20 of binarization of the acquired image so as to obtain a binary image consisting solely of pixels of two different colors.
- the image may comprise only black pixels and white pixels.
- Such a step binarization makes it possible to increase the contrast between, on the one hand, the background of the image corresponding to the support 24 and, on the other hand, the surfaces corresponding to the granules 5, thus facilitating the distinction between the granules 5 and the support 24 and the counting pixels composing each of said surfaces.
- RGB coding is a computer coding of colors in which each of the colors is obtained by additive synthesis of three primary colors, namely red, green and blue. Each color is coded by an intensity according to each of these three primary colors.
- E21 transformation of the acquired image into RGB color into an image comprising pixels in gray level.
- the pixels of the image initially in RGB color are transformed into gray level by applying to each of the pixels of the RGB color image the following transformation:
- Ngris Red x 0.3 + Nvert x 0.59 + Nbieu x 0.1 1 with:
- Red the intensity of red in the image acquired by the processing unit 3;
- ⁇ Nbieu the intensity of blue in the image acquired by the processing unit 3;
- E22 transformation of the grayscale image into a binary image comprising only black and white pixels.
- the transformation of the image into black and white is done by blacking out all pixels whose gray level is less than or equal to a value threshold, and by blanking all pixels whose gray level is greater than the threshold value.
- the gray level is coded according to 256 gray intensities ranging from 0 (black) to 255 (white).
- the threshold used may be for example 170.
- the threshold may be modified according to the color of the granules 5 and the support 24 (and possibly the illumination unit 27).
- the image binarization step E20 comprises only the step E22 of transforming the acquired gray level image into black and white.
- the determination step E3 may comprise a step of detecting outliers by detecting a size value of a granule that is greater than a threshold.
- a threshold Such a characteristic makes it possible to detect and eliminate the outliers that can occur when two granules come into contact during the acquisition of the image by the image sensor 25. In fact, if two granules come into contact with each other. during the acquisition of the image by the image sensor 25, during the step E2 of image processing by the processing unit 3, only one is detected for the two granules 5 that are in contact (Only one closed contour is detected for the two granules when the surfaces are marked by locating the closed contours). Thus, the defined surface corresponds to the two granules 5.
- the size of this surface is therefore generally equal to twice the size of the other surfaces.
- an outlier has an impact on the statistical calculations that are made thereafter. For example, such an aberration will have a strong impact on the calculated average size.
- the threshold for the detection of outliers may be twice the minimum measured size in the measured pellet sample.
- the method for determining the size of the granules may comprise a step A4 of transmission of the result. from the image processing step A4 to the user interface station 4, in order to be able to display said result on said user interface station 4.
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- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Geometry (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
MX2018011551A MX2018011551A (es) | 2016-03-22 | 2017-03-22 | Proceso y dispositivo para medir el tamaño de gránulos. |
BR112018069287A BR112018069287A2 (pt) | 2016-03-22 | 2017-03-22 | processo e dispositivo de mediçao do tamanho de granulos |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1652460A FR3049374B1 (fr) | 2016-03-22 | 2016-03-22 | Procede et dispositif de mesure de la taille de granules |
FR1652460 | 2016-03-22 |
Publications (1)
Publication Number | Publication Date |
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WO2017162750A1 true WO2017162750A1 (fr) | 2017-09-28 |
Family
ID=55953284
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2017/056845 WO2017162750A1 (fr) | 2016-03-22 | 2017-03-22 | Procédé et dispositif de mesure de la taille de granules |
Country Status (4)
Country | Link |
---|---|
BR (1) | BR112018069287A2 (fr) |
FR (1) | FR3049374B1 (fr) |
MX (1) | MX2018011551A (fr) |
WO (1) | WO2017162750A1 (fr) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR3105531B1 (fr) | 2019-12-19 | 2021-12-31 | Neovia | Systeme de mesure des dimensions de particules alimentaires et procede associe |
FR3105533B1 (fr) | 2019-12-19 | 2021-12-31 | Neovia | Dispositif d’analyse d’un ensemble de particules alimentaires et procede associe |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR2887987A1 (fr) * | 2005-06-30 | 2007-01-05 | Sferis Sarl | Procede et dispositif d'analyse de baies |
-
2016
- 2016-03-22 FR FR1652460A patent/FR3049374B1/fr not_active Expired - Fee Related
-
2017
- 2017-03-22 MX MX2018011551A patent/MX2018011551A/es unknown
- 2017-03-22 WO PCT/EP2017/056845 patent/WO2017162750A1/fr active Application Filing
- 2017-03-22 BR BR112018069287A patent/BR112018069287A2/pt not_active Application Discontinuation
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR2887987A1 (fr) * | 2005-06-30 | 2007-01-05 | Sferis Sarl | Procede et dispositif d'analyse de baies |
Non-Patent Citations (2)
Title |
---|
MAJUMDAR S ET AL: "CLASSIFICATION OF CEREAL GRAINS USING MACHINE VISION: I. MORPHOLOGY MODELS", TRANSACTIONS OF THE AMERICAN SOCIETY OF AGRICULTURAL ENGINEERS, AMERICAN SOCIETY OF AGRICULTURAL ENGINEERS. ST.JOSEPH, MI, US, vol. 43, no. 6, 2000, pages 1669 - 1675, XP009190288 * |
TADHG BROSNAN ET AL: "Improving quality inspection of food products by computer vision--a review", JOURNAL OF FOOD ENGINEERING, vol. 61, no. 1, 2004, pages 3 - 16, XP055050048 * |
Also Published As
Publication number | Publication date |
---|---|
MX2018011551A (es) | 2019-07-04 |
BR112018069287A2 (pt) | 2019-01-22 |
FR3049374A1 (fr) | 2017-09-29 |
FR3049374B1 (fr) | 2018-07-27 |
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