JPH085581A - Contamination detector for thread winding bobbin - Google Patents

Abstract

PURPOSE:To detect a smear of oil, having low difference in the lightness from a normal part, by calculating a contamination image data while emphasizing the gray level of a mask image data where the winding thread part is sectioned from other part and making a decision whether a contamination is present. CONSTITUTION:A gray level image input means (CCD camera) 4 picks up the image of a thread winding bobbin from a direction substantially intersecting the end face perpendicularly and an image signal is subjected to A/D conversion before being transferred 7 to a processing section. A paper pipe in the image data is then removed at a processing section 8d in a mask forming means 8 in order to avoid erroneous recognition as a contamination thus producing a mask image data which is stored 7b in an image transfer means 7. A contamination present in the thread winding bobbin is then emphasized through means 9 based on the stored image data thus facilitating discrimination from the normal part. Subsequently, a contamination image data is calculated 10 based on the difference from the stored mask and compared with a set value thus deciding 11 whether a contamination is present. This detector can detect even a contamination, being inputted as an image data of low gray level, positively.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention eliminates oil stains such as machine oil existing on the end surface of a winding bobbin, and defects such as hue abnormalities resulting from the winding of yarns of different thicknesses and raw materials. A device for automatic inspection.

[0002]

2. Description of the Related Art In the production of synthetic fibers, the processes from spinning to doffing are carried out consistently, and more recently, the automation of transportation and packing has been realized. On the other hand, in visual inspection of bobbins, automation has been attempted from the past.
The inspection device and method disclosed in JP-A-64-1939 and JP-A-63-295376 are known.

The inspection device disclosed in Japanese Patent Laid-Open No. 64-1939 (hereinafter referred to as "conventional example 1") irradiates near-ultraviolet light on the inspection surface of a package (winding bobbin), and
The inspection surface of the package is photographed by the image line sensor through the blue transmission filter, and the abnormality is determined based on the detection signal.

The inspection device disclosed in Japanese Patent Laid-Open No. 63-295376 (hereinafter referred to as "conventional example 2") is an ultraviolet ray generator for irradiating the surface of the package with ultraviolet rays, and an ultraviolet ray absorber. The package is composed of a light receiver for receiving the fluorescence emitted from the package and an analyzer for processing the received signal, and automatically detects the package in which different kinds of yarns are mixed.

[0005]

However, in the above-mentioned conventional example 1, the package is rotated, and the image line sensor takes images at regular intervals, and the difference between the detected value at the fixed position and the detected value before the predetermined time has passed. Therefore, there is a problem in that the stain cannot be detected if the stain is smaller than the photographing interval, for example. On the other hand, if it is desired to detect minute dirt, the rotation speed of the package needs to be reduced and the scanning speed of the image line sensor needs to be increased, which has the drawback of requiring processing time.

The conventional example 1 is intended to detect all foreign matters, and it is very difficult to detect oil stains or the like having a small lightness difference between the dirty portion and other normal portions.
When unevenness is present on the package surface, there is a problem that it is not possible to distinguish between dirt and shade of unevenness.

Further, the conventional example 2 detects an abnormal package in which yarns having different thicknesses, raw materials and the like are wound, and cannot detect an abnormality concerning oil stain.

The present invention has been made in view of the above circumstances, and an object thereof is to provide an apparatus capable of accurately determining the presence or absence of oil stains and the like which cannot be detected by conventional methods and apparatuses. To do.

[0009]

In order to achieve the above object, the invention according to claim 1 of the present invention is a grayscale image inputting means for inputting an image of an end surface of a winding bobbin at an inspection position, and storing the input image data. And a mask creating unit that binarizes the image data in the first memory unit to create mask image data in which the wound yarn portion and the other portion are divided, and the mask image data. The image data in the second storage unit to be stored and the image data in the first storage unit are scanned in a direction orthogonal to the wound yarn of the image data to calculate a difference value, and the contrast of the image data is emphasized and emphasized. A stain emphasizing unit that calculates image data, a stain image data calculating unit that binarizes the obtained emphasized image data to calculate stain image data, the obtained stain image data, and a mask image of the second storage unit. Calculate the difference from the data By being configured and a judgment means for judging the presence or absence of contamination and the gist thereof.

The invention according to claim 2 is a grayscale image input means for inputting an image of the end surface of the winding bobbin at the inspection position,
A first storage unit that stores the input image data; and a mask creating unit that creates mask image data that binarizes the image data in the first storage unit and separates the wound yarn portion and the other portions. A second storing the mask image data
Storage unit, original image segmenting means for segmenting the image data of the first storage unit into at least three or more by a boundary line parallel to the X-Y2 axis orthogonal coordinate axis in the image data, and the segmented image data. Is scanned along the coordinate axis from the center of the coordinate toward the outer line of the image to calculate the difference value, and the stain emphasizing means for emphasizing the shading of the image data to calculate the emphasized image data; And a determination unit that determines the presence or absence of stain by calculating the difference between the obtained stain image data and the mask image data in the second storage unit. What is done is summarized.

[0011]

According to the present invention, first, the illuminance to irradiate the end surface of the bobbin bobbin is uniform in a direction substantially parallel to the plane including the end surface of the bobbin bobbin held at the prescribed position by the bobbin bobbin holding mechanism. The black light is arranged so that The yarn forming the wound bobbin absorbs ultraviolet light and emits the absorbed energy as long-wavelength fluorescence.

Then, the grayscale image input means captures an image of the illuminating portion from a direction substantially orthogonal to the end surface of the winding bobbin.
Here, if only the blue signal is taken in, if the end surface of the winding bobbin is free from oil stains, stains, etc., the fluorescence will be emitted uniformly from the surface of the winding bobbin, but if there is stain, the fluorescence of that portion will be emitted. Becomes weak and looks dark. Further, when only the green signal is taken in, if the type of thread forming the winding bobbin is one, the fluorescence is uniformly emitted from the surface of the winding bobbin, but there are two or more types of threads forming the winding bobbin. If so, the amount of fluorescence generated will be irregular. Further, in general, even in a normal wound bobbin without stains or the like, the end surface thereof has irregularities, and the amount of fluorescence emitted may be irregular due to the shadow of the irregularities.

Next, for the original image data picked up by the gray image inputting means, an image transferring means, a mask creating means,
The stain emphasizing unit and the stain image data calculating unit remove the paper core of the winding bobbin, emphasize the stain, and detect the stain, and the determining unit determines the presence or absence of stain such as oil stain. Therefore, the apparatus of the present invention has an advantage that the stain can be emphasized based on the original image data picked up by the grayscale image pick-up means and a stable inspection can be performed against the erroneous recognition of the uneven shadow and the stain. In addition, by emphasizing dirt with the dirt emphasizing means,
It is possible to confirm the presence or absence of thin dirt or minute dirt that was difficult to detect in the past.

[0014]

【Example】

(Embodiment 1) Next, an embodiment of the device of the present invention will be described with reference to the accompanying drawings. FIG. 1 is a perspective view showing a schematic configuration of an apparatus according to an embodiment of the present invention. As shown in the figure, the apparatus of the embodiment has a conveying means (1) for conveying a winding bobbin (6) to an inspection position. ), Positioning means (2) for positioning the conveyed bobbin bobbin (6) at the inspection position, and a black light source (3) for illuminating the end surface (inspection surface) of the bobbin bobbin (6) at the inspection position with ultraviolet light. ), A grayscale image input means (4) for picking up an image of the inspection surface of the winding bobbin (6), and a processing section (5) for processing the picked up image data and detecting the presence or absence of dirt. . The details of each unit will be described below.

(A) Conveying Means The conveying means (1) is composed of, for example, the conveyor shown in FIG. 1, and conveys a tray or the like on which the winding bobbin (6) is placed.

(B) Positioning Means The positioning means (2) is provided with a stopper, as shown in FIG. 1, and the wound bobbin (6) is moved to a predetermined position on the conveyor by raising the stopper and projecting it from the upper surface of the conveyor. The bobbin bobbin (6) can be moved by fixing it at the position and lowering the stopper.

(C) Black Light Light Source The black light light source (3) efficiently emits only near-ultraviolet rays having a strong fluorescent action without emitting visible light.

(D) Grayscale image input means The grayscale image input means (4) comprises an A / D conversion means and a memory, A / D converts an input video signal picked up by a color CCD camera into 8 bits, and stores it in the memory. To be stored in.

(E) Processing Unit The processing unit (5) is for processing the digital image data stored in the memory after the image is picked up by the color CCD camera to detect dirt, and as shown in FIG. It comprises a transfer means (7), a mask creating means (8), a stain emphasizing means (9), a stain image data calculating means (10) and a judging means (11).

(E-1) Image Transfer Means The image transfer means (7) stores the image data picked up by the grayscale image input means (4), the image data processed by the processing section (5), and the like. The data is transferred to the first storage unit (7a) and the second storage unit (7b). The first storage unit (7a) and the second storage unit (7b) are memories,
The image data transferred by the image transfer means (7) is stored.

(E-2) Mask creating means The mask creating means (8) is imaged by the grayscale image inputting means (4), and the wound bobbin (6) is obtained from the image data transferred by the image transferring means (7). ) Of the paper core portion is removed, and the inspection area setting unit (8a), the binarization processing unit (8b), and the boundary processing unit (8).
c) and a yarn tube removal processing unit (8d).

(E-3) Inspection Area Setting Unit The inspection area setting unit (8a) is used for the image data picked up by the grayscale image inputting means (4) as shown in FIG.
The inspection area (shown by the dotted line) as shown in FIG. This inspection area is set to minimize the area including all the data of the end surface of the winding bobbin (6) in the image data, and is set so as to remove the data other than the end surface of the winding bobbin (6) as much as possible. . Considering the ease of area setting and the speeding up of processing, it is preferable to set this area in a rectangular shape. In the present example, the image data composed of 512 × 512 pixels is read first from the 0th to 511th addresses of the X coordinate with respect to the 0th address of the Y coordinate, and then similarly from the 1st to 511th address of the Y coordinate. Data of all pixels are sequentially read by sequentially reading the data from address 0 to address 511 of the X coordinate. Where Y
A rectangular area can be set by reading the data from address c to address d on the X coordinate between address a and address b. The addresses a, b, c, and d are values set in advance before the inspection. This is because the bobbin bobbin (6) is accurately positioned at a predetermined position by the positioning means (2). , The same inspection area is set every time. It should be noted that the setting may not be made if high speed processing is not required.

(E-4) Binarization processing unit The binarization processing unit (8b) is provided with the inspection area setting unit (8).
The image data of the inspection area set in a) is binarized using a predetermined threshold as a reference. In the present embodiment, as shown in FIG. 3B, when the value is smaller than the set binarization threshold value, the value is "0", and other values are "1".

(E-5) Boundary Processing Section The boundary processing section (8c) removes noise near the boundary of the area for setting the inspection area by processing such as expansion and contraction.

(E-6) Paper core removal processing unit The paper core removal processing unit (8d), in order to avoid erroneous recognition of stains, data on the paper core in the image data, that is, paper core, paper The data inside the tube and the area around the paper tube are removed. By this processing, mask image data as shown in FIG. 3C is created. The created mask image data is stored in the second storage section (7) of the image transfer means (7).
It is stored in b).

(F) Dirt emphasizing means The dirt emphasizing means (9) includes the first storage section (7a).
The stain portion (12) is emphasized on the basis of the image data stored in 1. The emphasizing direction setting unit (9a), the stain emphasizing region setting unit (9b), and the data, as shown in FIG. The reading unit (9c), the data array unit (9d), the arithmetic processing unit (9e), and the data storage unit (9f). The stains on the winding bobbin not only appear as data with high density but also appear as extremely light data. In this case, it is difficult to determine whether or not it is stain.
It is necessary to perform emphasis processing on the extremely pale data.

(F-1) Enhancement Direction Setting Unit The enhancement direction setting unit (9a) sets the direction in which the density data of each pixel in the image data input by the grayscale image input means (4) is emphasized. is there. For example,
As for the wound bobbin (6) formed by winding the yarn, the dirt is generally generated in the winding direction of the yarn on the end surface of the wound bobbin (6), that is, in the circumferential direction. By emphasizing in the direction substantially perpendicular to the longitudinal direction of the portion (), the dirt (12) portion becomes prominent and the minute dirt (12) can be easily detected. Therefore, as shown in FIG. 5, emphasis processing is performed in the radial direction from the center of the bobbin bobbin (6).

(F-2) Dirt emphasizing region setting unit The stain emphasizing region setting unit (9b) sets the region of the image data on which the emphasizing process is performed. Although this can speed up the process, it is not always necessary.

(F-3) Data Reading Unit The data reading unit (9c) reads the density data of the corresponding pixel according to the set emphasis direction, and outputs the read data to the data array unit (99). To do. In this example, the emphasis direction is set in the direction from the center of the bobbin bobbin (6) to the outer circumference of the bobbin bobbin (6), that is, in the radiation direction.
In the XY coordinates shown in, the function Y = aX is defined, the center of the bobbin bobbin (3) is used as the origin, and a straight line defined by this function is scanned to sequentially read the density data of the pixels on the straight line. . It should be noted that when only large dirt is detected, the given inclination a may be changed greatly, and when minute dirt is also detected, the inclination a may be finely changed.

(F-4) Data Arrangement Unit The data arrangement unit (9d) includes the data reading unit (9).
Upon receiving the read data from c), the data is arranged in one line for each scan.

(F-5) Arithmetic processing section The arithmetic processing section (9e) is provided with the data array section (9d).
A predetermined operation is performed on the basis of the data stored in.
In the present example, the calculation processing result for the pixel shown in FIG. 4A is the sum of 7 pixels combined with the pixel data on both sides of the pixel data, and the sum of the data of 7 pixels adjacent to the 7 pixels. It is obtained by subtracting. In other words, the pixel data of is the sum of 7 pixels with 3 pixels on each side (100 + 100 + 99 + 100 + 99 + 98 + 98 =).
694), the sum of the data of 7 pixels adjacent to these 7 pixels (99 + 98 + 99 + 100 + 99 + 100 + 101)
= 696) is subtracted to obtain a numerical value (694-696 = -2). Similarly, the data of each pixel becomes as shown in FIG. 4B when the arithmetic processing is performed up to ..., And when it is shown in a graph, it becomes as shown in FIG. 4C. In the figure, the curve in which the values of the image data are plotted as they are is shown by a broken line, and the curve in which the numerical values after the above processing are plotted is shown by a solid line. As can be seen from this figure, by performing this processing, it is possible to clarify a slightly dark portion that cannot be detected by the conventional grayscale processing method that directly uses the image data value. For example, it is preferable to set the width of pixels to be set to about 5 pixels when judging a narrow portion such as a scratch, and to set the width of pixels to be set to about 30 pixels when judging small paint unevenness. As shown in FIG. 6, the stain emphasizing means emphasizes the stain (12) existing on the bobbin bobbin (6) to facilitate discrimination from a normal portion.

(F-6) Data Storage Unit The data storage unit (9f) is a memory and stores data calculated by the calculation processing unit (9e).

(G) Contamination Image Data Calculating Means The contamination image data calculating means (10) is, as shown in FIG. 2, a binarization processing section (10a) and a mask processing section (10).
b) and.

(G-1) Binarization processing unit The binarization processing unit (10a) is provided with the data storage unit (9).
This data is binarized based on the data stored in g). In this example, as shown in FIG. 7, if it is smaller than the predetermined threshold value, it is set to "0", and if it is larger than it, it is set to "1".

(G-2) Mask processing unit The mask processing unit (10b) includes the binarized image data shown in FIG. 7 and the second storage unit (7) shown in FIG. 3C.
By obtaining the difference from the mask stored in b), the dirty image data as shown in FIG. 8 is obtained.

(H) Contamination Determining Means The contamination determining means (11) calculates the area of "0" value in the contamination image data of FIG. 8, compares the calculated value with a predetermined set value, and calculates the area. If the applied value exceeds the predetermined set value, it is determined that there is stain, and if not, it is determined that there is no stain.

According to the apparatus of the first embodiment having the above-mentioned structure, it is possible to reliably detect even the stain inputted as the image data of the light density.

(Embodiment 2) As shown in FIG. 9, the apparatus of Embodiment 2 is obtained by newly adding an image dividing unit (9g) to the stain emphasizing means (9) of Embodiment 1, and other The configuration is the same as the configuration of the apparatus of the first embodiment, and the detailed description of the same configuration will be omitted. According to this apparatus, the image obtained by imaging the yarn layer surface of the end face of the winding bobbin (6) by the gray image inputting means (4) described in the first embodiment is used as the image dividing section (9g) of the stain emphasizing means (9). By dividing the image in () and emphasizing the stain, the processing speed can be improved and the processing can be simplified.

The image dividing section (9g) divides the image of the surface of the yarn layer of the winding bobbin (6) picked up by the gray image inputting means (4) into four or more images. Although various methods of dividing an image are conceivable, the simplest method for emphasizing stains is shown in FIG. 10 (a), (b),
As shown in (c) and (d), it is effective to divide the image into three in the longitudinal direction and further divide the three-divided middle image into two in the weft direction.

In this example, the emphasis direction setting section (9a) causes the winding bobbin (6) to move, for example, the portion shown in FIG. 10 (a) from bottom to top and the portion shown in FIG. 10 (b). From top to bottom, the part shown in FIG. 7C is from right to left, and FIG.
In, the emphasis direction is set from left to right. In the XY coordinates shown in the figure, the function X = a in the figures (a) and (b), and the function Y = in the figures (c) and (d).
b (a, b: 1,2,3, ..., n) is defined, and the density data of the pixels on this function are sequentially read by the data reading unit (9
By reading in c), the dirt (12) portion is emphasized in the arrow direction. In this way, the data reading section (9c)
Then, the density data of the pixels on the arrow line are sequentially read in the direction of the arrow, and the read density data is read in the data array section (9
According to d), arrange in a line in order. Then, in the arithmetic processing section (9e), based on the pixel data arranged in a line, the same calculation as in the above-described first embodiment is performed, and the stain (12) on the yarn layer surface of the winding bobbin (6). Emphasize. In this way, the image is shown in FIGS. 10 (a), (b), (c), (d).
By dividing it into 4 parts, you can easily clean it (12).
The dirt (12) can be emphasized in a direction substantially perpendicular to the direction of. It should be noted that the inspection can be performed without omission by providing a portion where the images of the divided winding bobbins overlap each other when dividing.

The processes after the stain emphasizing process described here are performed in the same manner as in the first embodiment. The areas in the inspection area setting unit (8a) and the paper tube removal processing unit (8d) of the mask creating unit (8) are shown in FIGS.
In (c) and (d), the settings are made as shown by the dotted line and the alternate long and short dash line, respectively.

(Embodiment 3) As shown in FIG. 11, the device of the embodiment 3 is the device of the embodiment 1 in order to mechanically implement the function of the image dividing section (9g) described in the embodiment 2. In the configuration, winding bobbin positioning means (13a), (13b), (13c) are arranged instead of the positioning means (2), and the other configurations are the same as those of the first embodiment, and the same configuration. The detailed description thereof will be omitted.

The positioning means (13a), (13
b) and (13c) are provided with three stoppers on the conveyor, and the stoppers are sequentially raised or lowered while the transporting means (1) is driven to move the winding bobbin (6). It moves to a predetermined position, and each has a configuration as shown in FIG. First, the first stage movement is performed. The positioning means (13a) is raised and the other positioning means (13b), (13c) are lowered, the winding bobbin (6) is positioned at the position of the positioning means (13a), and the image is input by the image input means (4). To do.
The obtained image data is shown in FIG. Then, the second stage movement is performed. The positioning means (13a) is lowered, the positioning means (13b) is raised, the winding bobbin (6) is positioned at the position of the positioning means (13b), and the image is input by the image input means (4). The obtained image data is shown in FIGS. 12 (b) and 12 (c). After this, the movement of the third stage is performed. The positioning means (13b) is lowered, the positioning means (13c) is raised, and the winding bobbin (6) is positioned at the position of the positioning means (13c).
An image is taken by the image input means (4). The obtained image data is shown in FIG.

Positioning means (13a), (13b),
(13c) is characterized in that the bobbin bobbin (6) is moved in three steps with respect to the fixed grayscale image inputting means (4). (B) and (c) in the same figure for the movement of Figure 3, and for the movement of the third stage, the movement distance is set so that the image of the winding bobbin (6) shown in the figure (d) is input by the grayscale image input means (4). Set. That is, when the original image data is input by the grayscale image input means (4) at each moving stage, the image division described in the second embodiment can be automatically performed. The areas in the inspection area setting unit (8a) and the paper tube removal processing unit (8d) of the mask creating means (8) are shown in FIGS.
In (c) and (d), settings are made as shown by a dotted line and a one-dot chain line, respectively. In addition, FIG. 12 (a), (b),
As indicated by the arrows in (c) and (d), the image division unit (9g) described in the second embodiment is set by setting the emphasis direction in the emphasis direction setting unit (9a) of the stain emphasizing unit (9). Mechanically implement the function of.

[0045]

As described in detail above, according to the present invention,
It is possible to accurately detect a defect such as oil stain having a small difference in brightness between a stain portion existing on the end surface of the winding bobbin and another normal portion. Further, even if the winding bobbin surface has irregularities, only the stains can be effectively emphasized and the shadows of the stains and the irregularities can be accurately discriminated regardless of the directionality of the stains.

[Brief description of drawings]

FIG. 1 is an explanatory diagram illustrating a device configuration according to a first embodiment.

FIG. 2 is a block diagram illustrating details of a processing unit according to the first embodiment.

FIG. 3 is an explanatory diagram showing an operation of a mask creating means.

FIG. 4 is an explanatory diagram showing an operation of a stain emphasizing means.

FIG. 5 is an explanatory diagram showing an operation of a stain emphasizing means.

FIG. 6 is an explanatory diagram showing an operation of a stain emphasizing unit.

FIG. 7 is an explanatory diagram showing an operation of a dirty image data calculating unit.

FIG. 8 is an explanatory diagram showing an operation of a dirty image data calculation unit.

FIG. 9 is a block diagram illustrating details of a processing unit according to the second embodiment.

FIG. 10 is an explanatory diagram showing the operation of the stain emphasizing means in the second embodiment.

FIG. 11 is an explanatory diagram showing the operation of the positioning means in the third embodiment.

FIG. 12 is an explanatory diagram showing the operation of the stain emphasizing means in the third embodiment.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Conveying means 2 Positioning means 3 Black light light source 4 Grayscale image input means 5 Processing part 6 Winding bobbin 7 Image transfer means 7a 1st memory | storage part 7b 2nd memory | storage part 8 Mask creation means 8a Inspection area setting part 8b 2 values Conversion processing section 8c Boundary processing section 8d Paper core removal processing section 9 Contamination enhancement means 9a Enhancement direction setting section 9b Contamination enhancement area setting section 9c Data reading section 9d Data array section 9e Arithmetic processing section 9f Data storage section 9g Image division section 10a 2 Quantization processing unit 10b Mask processing unit 11 Judgment means 12 Dirt 13a Positioning means 13b Positioning means 13c Positioning means

Claims (2)

[Claims] 1. A gray-scale image input means for inputting an image of an end surface of a winding bobbin at an inspection position, a first storage section for storing the input image data, and two image data in the first storage section.
A mask creating unit that creates mask image data that is binarized and separates the wound yarn portion and the other portion from each other, a second storage unit that stores the mask image data, and image data of the first storage unit. The stain emphasizing means for scanning the image data in a direction orthogonal to the wound yarn to calculate a difference value, emphasizing the shading of the image data to calculate the emphasizing image data, and the obtained emphasizing image data are binary. And a determination unit that determines the presence or absence of stain by calculating the difference between the obtained stain image data and the mask image data in the second storage unit. Stain detection device for wound bobbin. 2. A grayscale image input means for inputting an image of the end surface of the winding bobbin at the inspection position, a first storage section for storing the input image data, and two image data in the first storage section.
A mask creating unit that creates mask image data that is binarized and separates the wound yarn portion and the other portion from each other, a second storage unit that stores the mask image data, and image data of the first storage unit. An original image dividing means for dividing the image data into at least 3 or more by a boundary line parallel to the X-Y two-axis orthogonal coordinate axis, and the divided image data is scanned along the coordinate axis from the coordinate center side toward the image outer line. A stain emphasizing means for calculating a difference value, emphasizing shading of image data to calculate emphasized image data, and a stain image data calculating means for binarizing the obtained emphasized image data to calculate stain image data. The acquired dirty image data and the second
A stain detecting device for a wound bobbin, which comprises a determination means for determining the presence or absence of stain by calculating a difference from the mask image data in the storage section.