JP2008099598A - Device for inspecting insect-catching sheet, and method for counting insects caught in image of insect-catching sheet - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a device for inspecting an insect-catching sheet, capable of treating a plurality of insect-catching sheets in large quantity, while maintaining high accuracy in monitoring, and to provide a method of counting the insects caught in an image of the insect-catching sheet, attaining high-accuracy counting of images. <P>SOLUTION: The device for inspecting the long insect-catching sheet A, having adhesive layers on one or both surfaces, is equipped with a stage 2 for setting a plurality of the insect-catching sheets A, each having a plurality of divisions divided at prescribed intervals in the longitudinal direction; an imaging means 4a capable of simultaneously photographing the image of a plurality of the insect-catching sheets A, ... set on the stage 2; an image processing means 10a for forming a divided image Y as one image datum, by selectively cutting out any one of divisions from the overall image X obtained by the imaging means 4a; and a display means 15 for displaying the divided image Y formed by the image processing means 10a. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to an inspection device for a long insect trapping sheet having an adhesive layer on one or both sides, and more particularly to an inspection device for counting micro insects (insects) captured by the adhesive layer of the insect trapping sheet. The present invention also relates to a method of counting images of insects on an insect trap sheet.

  An insect trap that captures micro insects collected by turning on a light source having a wavelength preferred by the micro insects such as a fluorescent lamp by contacting the adhesive layer formed on one or both sides of the trap sheet is also known. After being installed at the target location, the insect catching sheet that has been used for a certain period of time is taken out and visually inspected (the insects are counted visually). It is common practice to monitor insects. In particular, in the food industry, under the HACCP (Hazard Analysis Important Control Point System) promoted by the Ministry of Health, Labor and Welfare, monitoring of micro-insects inside and outside the factory is inevitable.

  However, a general insect catching sheet (also called “insect catching paper”) is about 5 cm in width and about 50 cm in length, which is (by drawing a line in the width direction at regular intervals). For example, in the monitoring, each of the relatively small sections of about 5 cm × about 5 cm is visually inspected one by one to the end (by counting the insects by visual inspection). Therefore, it puts a heavy burden on those who are engaged in monitoring. Moreover, this problem becomes remarkable in the present condition where the consumption of the insect catching sheet (that is, the number of the insect catching sheets to be inspected) is increasing for the reason described above.

  As a method for reducing the burden on such an operator, instead of inspecting all sections in each insect catching sheet, for example, one or two sections are selectively inspected and all sections are inferred. There is no point in adopting a method, but such a simple method has a problem of accuracy in monitoring accuracy and should be avoided if possible.

Alternatively, as disclosed in Patent Documents 1 and 2, there is provided a method for obtaining an image of a catching sheet, performing appropriate image processing, and counting the number of captured insects on the catching sheet. These conventional image counting methods are not highly accurate from the viewpoints of (thin legs and shorts are present in the image) and the form of the insect catching sheet (the lines for the compartments are present in the image).
JP 2003-304788 A JP 2005-237317 A

Alternatively, as a device for reducing the burden on the worker, a light source of a wavelength preferred by a micro insect is arranged inside the casing, and an infrared light emitting element and a light receiving sensor are arranged in an opposed state at the entrance of the casing, Furthermore, an insect capturing sheet is detachably provided between the entrance and the insect lamp inside the casing, and a device that attempts to count minute insects entering the casing by a photoelectric sensor that is a combination of the light emitting element and the light receiving sensor described above. Has been proposed (for example, Patent Document 3), however, since a small insect does not always make a flying motion that passes straight in the vicinity of a photoelectric sensor, duplicate detection frequently occurs, and again, there is a problem of accuracy in monitoring accuracy. Occurs.
Japanese Patent Laid-Open No. 10-99901

  Then, this invention is made | formed in view of the said problem, and makes it a subject to provide the inspection apparatus of the insect trap sheet which can process a some insect trap sheet in large quantities, maintaining the precision of high monitoring. . It is another object of the present invention to provide a method for counting insect images on an insect trap sheet with high accuracy.

  The insect trapping sheet inspection apparatus according to the present invention is a long insect trapping sheet provided with an adhesive layer on one or both sides, and is partitioned at regular intervals in the longitudinal direction. From a stage for setting a plurality of insect capturing sheets having compartments in parallel, an imaging means capable of imaging a plurality of insect capturing sheets set on the stage at the same time, and an entire image acquired by the imaging means An image processing unit that selectively cuts out any section and generates a section image using the section as one image data; and a display unit that displays the section image generated by the image processing unit. To do.

  According to this configuration, for example, as an example of an inspection procedure, first, the image processing unit that has acquired the entire image generates one division image and outputs it to the display unit. And an operator observes the division image displayed on a display means, and counts the insect capture in the said division. When this is finished, the image processing means generates the next section image in the same whole image and outputs it to the display means. And this is repeated and inspection is implemented about all the divisions.

  Moreover, it is preferable that the inspection apparatus of the insect trap sheet | seat which concerns on this invention employ | adopts the structure in which the said image processing means can implement the image counting process of a trap insect with respect to a division image.

  According to such a configuration, the result of the image counting process can be obtained independently or complementary to the counting result obtained by the operator's eye measurement, and the monitoring accuracy can be increased.

  In this case, it is more preferable that the insect trapping sheet inspection apparatus according to the present invention employs a configuration in which the image processing unit can perform trapping identification processing on the section image.

  Since identification requires a certain level of expertise, humans must rely on specialists, but such a configuration is not necessary, and the operator's workload is increased. It can also be reduced.

  In addition, the insect trapping sheet inspection apparatus according to the present invention can employ a configuration in which the stage can be pulled out of the apparatus main body.

  According to such a configuration, it becomes possible to easily perform a setting operation and a replacement operation of a plurality of insect capturing sheets.

  In addition, the method of counting the number of insects in the insect trapping sheet according to the present invention includes a step of imaging the insect trapping sheet to acquire an image of a long trapping sheet having an adhesive layer on one side or both sides, and in the acquired image In addition, when there is a ruled line for partitioning the insect trapping sheet into a plurality of sections, the step of identifying and removing the ruled line and when the background other than the insect trapping sheet exists in the acquired image specify the background. Removing the central part of the captured image, extracting a central part of the captured insect in the acquired image, and counting the captured insect by tracing the outline of the extracted region.

  According to such a configuration, the ruled line of the insect catching sheet and the background such as the noise are removed, and the insect catching in the insect catching sheet is removed as the noise such as a thin part (leg or sho). By extracting the central part, it is possible to realize highly accurate image counting.

  Moreover, the image counting method of the insect trap in the insect trap sheet according to the present invention can employ a configuration in which the imaging step images a plurality of insect trap sheets set in parallel at the same time.

  According to such a configuration, it is possible to greatly reduce the work burden on the operator, such as eye fatigue caused by processing a large amount of insect catching sheets.

  Further, in the method for counting the number of captured insects in the insect capturing sheet according to the present invention, the extraction step performs gray scale conversion and subsequent binarization on the acquired image prior to extraction of the central part of the captured insect. In the ruled line and / or background removal step, the pixel of the specified ruled line and / or background pixel is set such that the ruled line and / or background pixel becomes white by the binarization together with the insect capturing sheet. A configuration that converts values can be employed.

  According to such a configuration, it is possible to extract the insects in a state where the ruled line of the insect trap sheet and the background such as the background are eliminated, so that it is possible to realize highly accurate image counting.

  In this case, the binarization is preferably optimal binarization.

  According to such a configuration, since the binarization is performed while dynamically changing the threshold value in consideration of the amount of change in the luminance value of surrounding pixels in the image, it is possible to appropriately extract the pixels related to the insect traps. Become.

  In addition, the image counting method of the insect capturing in the insect capturing sheet according to the present invention is configured such that the counting step obtains an area within the outline of the region, and if it is smaller than a predetermined value, it is not added to the counting as a trap. It is preferable to adopt.

  According to such a configuration, noise such as a part of insect trapping that is not originally captured or part of the trapping is not added to the count, so that it is possible to realize a more accurate image count.

  As described above, according to the insect trapping sheet inspection apparatus according to the present invention, each section of the insect trapping sheet can be displayed larger than the actual size on the display means. Not only can the accuracy be high, but the burden on the operator such as eye fatigue caused by processing a large amount of insect trapping sheets can be greatly reduced. In addition, by setting a plurality of insect trapping sheets, it is possible to acquire and inspect a large number of section images at a time, so that a plurality of insect trapping sheets can be processed in large quantities. That is, according to the present invention, it is possible to process a large number of insect trapping sheets while maintaining high monitoring accuracy.

  Moreover, according to the method for counting insects in the insect trapping sheet according to the present invention, a highly accurate counting result can be obtained.

  Hereinafter, an embodiment of an insect trap sheet inspection apparatus (hereinafter simply referred to as “inspection apparatus”) according to the present invention will be described with reference to the drawings.

  The inspection apparatus according to the present embodiment includes a scanner device and a display device (display) connected to the scanner device, and is characterized by a plurality (four in this embodiment) of the insect trapping sheet A. ,... Can be set side by side on the scanner device (from the state of FIG. 1 to the state of FIG. 2), and they can be imaged simultaneously.

  More specifically, the scanner apparatus has a stage 2 that can be pulled out forward with respect to the apparatus main body 1, and also supports each end of each insect catching sheet A on the flat upper surface of the stage 2. Are arranged so that the insect catching sheets A,... Can be set on the stage 2 side by side. On the other hand, in the apparatus main body 1, a line-shaped image sensor (line CCD) is arranged in the sub-scanning direction. When the stage 2 is housed in the apparatus main body 1, the line image sensor can image all the insect capturing sheets A,.

  The pedestal 3 includes a first pedestal 3a for supporting the base end portion of the insect capturing sheet A and a second pedestal 3b for supporting the distal end portion of the insect capturing sheet A. Here, the insect catching sheet A is used by being pulled out from the cartridge C. Therefore, the base end portion of the insect catching sheet A is, more precisely, the cartridge C. Therefore, the first pedestal 3a is , A housing recess 3a ′ for holding the cartridge C is provided.

  A pair of the first pedestal 3a and the second pedestal 3b is arranged in a direction perpendicular to the direction in which the stage 2 is pulled out, and these pairs are juxtaposed along the direction in which the stage 2 is pulled out. A,... Are arranged in parallel in the pulling direction of the stage 2.

  In addition, each set of the first pedestal 3a and the second pedestal 3b includes, for example, 10 sections of the insect catching sheet A described in [Problems to be solved by the invention] between the first pedestal 3a and the second pedestal 3b. It arrange | positions at the space | interval which interposes. Therefore, on stage 2, the total section of the plurality of insect capturing sheets A,... (40 if each section of insect capturing sheet A is 10) is arranged in a matrix (4 × 10). .

  The above-described line image sensor has a length (number of pixels) that is arranged along the drawing direction of the stage 2 and that can follow a plurality of insect capturing sheets A arranged in parallel on the stage 2 at the same time. Adopted and moved for sub-scanning in a direction perpendicular to the drawing direction of the stage 2. Therefore, the main scanning direction of the line image sensor and the width direction of the insect capturing sheet A coincide with each other, and the sub scanning direction of the line image sensor and the longitudinal direction of the insect capturing sheet A coincide with each other. Are taken simultaneously from the distal end side to the proximal end side or from the proximal end side to the distal end side.

  Actually, the above-described line imaging device is housed in a scanning head 4 that is movable in a direction perpendicular to the drawing direction of the stage 2 as shown in FIGS. The scanning head 4 is inserted in the apparatus main body 1 along a pair of front and rear shafts 5 and 5 arranged along a direction orthogonal to the direction in which the stage 2 is pulled out, and moves so as to slide the shafts 5 and 5. It has become. Incidentally, the power source is composed of a motor (not shown), a pulley 6 connected to the drive shaft of the motor, and a belt 7 that is hung on the pulley 6 and partially attached to the scanning head 4.

  FIG. 6 is an overall configuration diagram of the inspection apparatus according to the present embodiment. In the scanner device (device main body) 1, a control unit 10 configured by, for example, a CPU is provided, and the control unit 10 has a driver 12 and a line for the motor 11 for driving the scanning head 4. An input unit 13 for capturing data output from the image sensor 4a and an output unit 14 for outputting image data subjected to predetermined image processing to be described later are connected to the output unit 14. A display device (display) 15 that is an external output terminal and constitutes a part of the inspection apparatus according to the present embodiment is connected.

  In addition, the control unit 10 includes an image processing unit 10a that is characteristic in the present embodiment. The image processing unit 10a selectively cuts out one section from one whole image including the total section of the plurality of insect capturing sheets A,. It has a function of generating a section image as one piece of image data. The output unit 14 outputs the section image (may be referred to as “frame image”) to the display device 15, and the display device 15 displays the section image.

  FIG. 7 is a diagram for explaining an image of the image processing. The upper one is one whole image X including a total section of a plurality of insect capturing sheets A,... Taken in from the line image sensor 4a, and the lower one is selected from the whole image X. This is a section image Y obtained by cutting out the sections (in the figure, four lines from the top and five columns from the left).

  As an inspection procedure, first, the image processing unit 10a generates and outputs a first section image (for example, a section image of one row and one column). And an operator observes the division image displayed on the display apparatus 15, and counts the insect trap in the said division. When this is completed, for example, an instruction key (not shown) provided in the scanner device is operated. Then, the image processing unit 10a generates and outputs the next segment image (for example, a segment image with 1 row and 2 columns). And this is repeated to the last (for example, the division image of 4 rows 10 columns), and inspection is implemented about all the divisions.

  Incidentally, the image processing unit 10a performs an image counting process incidentally. That is, a binary image is generated from the acquired whole image or each divided image, pixel connection information is obtained from the acquired binary image, and a graphic extraction image obtained by extracting a graphic that is a block of pixels is acquired. An area is obtained for the figure obtained from the figure extraction image, figures whose area is greater than or equal to the specified value or less are deleted, and the number of remaining figures is counted as the number of insects captured by a labeling process or the like. As the image counting process by the image processing unit 10a, any other known method can be employed in addition to the above-described method.

  The following is an example of an image counting process for the entire image. It should be noted that in the image counting process, first, since micro insects are captured in the capturing sheet in various states and shapes, in order to accurately count, the capturing area is appropriately selected from the image. Second, when using a catching sheet with ruled lines (some insect catching sheets do not contain ruled lines), for example, a black line drawn in the width direction for the section ( (Hereinafter referred to as "ruled lines") may be present in the image, but this must be removed before counting.

  FIG. 8 is a flowchart of the image counting process. First, an entire image captured at a high resolution is obtained by a scanner device (S1), and then whether or not a ruled line exists in the image is checked (S2). If YES, ruled line removal processing, that is, A process for identifying and removing ruled lines in the image is performed (S3). Next, or when S2 is NO, a background removal process, that is, an area other than the insect catching sheet (background) is removed (S4), Next, a process of extracting the central part of the insect trap is performed (S5), and finally, the count of the insect trap is performed by tracing the outline of the trapping area (S6).

<Imaging (Scanning) (S1)>
A plurality of insect capturing sheets set in the scanner device are imaged at a high resolution of 1600 dpi or more. This whole image is hereinafter referred to as an input image. The input image is a 24-bit full color format in RGB format.

<Rule Line Removal Process (S3)>
First, the input image is reduced at a certain reduction rate to obtain a reduced image. This reduced image is used not only in the following ruled line removal process but also in the background removal process (S4). In these processes, it is not necessary to specify and remove ruled lines and backgrounds strictly, and it is sufficient to remove ruled lines and backgrounds if outlines of ruled lines and backgrounds are obtained. This is because the above processing is performed using a reduced image, so that the processing can be speeded up, made efficient, and the temporary storage area can be saved.

  Next, pixel values are obtained from the left to the right or from the right to the left for each scan line for the approximate region where the insect catching sheet should be present in the input image. Inspect whether the insect trap sheet is continuous from end to end. When a plurality of scan lines in which pixels of a color other than the color of the insect trapping sheet are continuous from end to end of the insect trap sheet are continuous, they are added as one ruled line to the ruled line candidates (FIG. 9 (a) Where the arrow is marked). The reason why the ruled line candidate is not determined as the ruled line is that there is a possibility of catching insects and it looks like a ruled line.

  However, among the scan lines that are not picked up as ruler line candidates, those that have a large number of pixels other than the color of the insect catching sheet, for example, those that exceed a certain percentage of the insect catchment color pixels are also ruled line candidates ( FIG. 9 (B) is marked with an arrow). This is because the ruled line may be divided due to the presence of a catching insect similar to the color of the catching sheet on the ruled line.

  What is taken up as a ruled line candidate is finally filled with white and removed. However, since it is necessary to consider the case where a catching insect exists on the ruled line candidate, if there is a pixel related to catching (pixels other than the color of the catching sheet) that protrudes above and below the ruled line candidate to be filled, the ruled line Among the candidates, the pixels related to insect catching are left unfilled. For example, as shown in FIG. 10, when a pixel in the thick solid line is determined to be a pixel related to catching insects, among the ruled line candidates to which arrows are attached, the pixel in the thick solid line is not painted white. As a result, it is possible to prevent the captured insect image from being divided (that is, the number of captured insects increases). Whether or not the pixel is a pixel related to catching insects is determined by calculating the hue of the pixel and determining whether or not the hue is included in the hue range of the insect catching sheet.

<Background Removal Process (S4)>
In this step, following the ruled line removal process (S3), the background (area other than the insect trapping sheet) is removed using the reduced image of the input image. First, for the approximate area of the input image where the insect trap sheet should exist, the pixel values were acquired from the left to the right or from the right to the left for each scan line, and the pixel of the insect trap sheet color was reached for the first time Is the edge of the insect trap sheet. (See Fig. 11 (a))

  Whether a pixel is a color pixel of the insect catching sheet is determined by whether the color of the pixel matches the color gamut of the color of the insect catching sheet. However, the background is based on the premise that the color of the insect catching sheet is completely different from the color gamut, but the background in this scanner device (ie, in stage 2) is gray or black, and the color of the insect catching sheet to be counted. Is different from that (usually yellow), so there is no problem.

  Even so, there is a possibility that the color pixels of the insect catching sheet system that may be accidentally present in the background area may be mistaken for the edge of the insect catching sheet, so the average color of surrounding pixels and the insect catching sheet so far From the average position of the edge of the worm, the validity is verified and the true edge of the insect trap sheet is determined. For example, referring to FIG. 11 (b), the pixels in the broken circle are pixels of the insect catching sheet system color, but the surrounding pixels are not the insect catching sheet system color, and the (scan line) From the fact that the edge of the insect trapping sheet (determined in the above) is displaced from the position in the main scanning direction, it is determined that the edge is not the edge, and the next one (pixels in the solid line circle) is determined as the true edge.

  These processes are performed for the number of insect catching sheets set in the scanner device, and the background is specified. Then, as shown in FIG. 12, finally, the ruled line / background is painted in white on the input image.

<Pretreatment for catching insects (S5)>
In this step, the central area of the insect trap on the insect trap sheet is emphasized / extracted to improve the accuracy when the trap is detected in the next step (S6). First, by the ruled line removal process (S3) and the background removal process (S4), only the luminance value of the input image (FIG. 12C) from which the ruled line and the background have been removed is extracted and converted into a grayscale image. The formula to calculate the brightness value is
Luminance value of input pixel = R × 0.299 + G × 0.587 + B × 0.114
R: R component of input pixel G: G component of input pixel B: B component of input pixel, FIG. 13 shows an image after grayscale conversion. At this time, instead of converting all the pixels into luminance values, when converting to luminance values, the hue of the pixels is calculated, and if the hue is outside the hue range of the insect capturing sheet, the pixel value Is set as black (the color of the insects). Thereby, the effect which emphasizes the pixel concerning most catching insects is acquired, converting an image into a luminance image. However, at this point in time, there are pixels related to catching whose hue approximates the hue of the catching sheet, etc., so pixels related to catching are extracted with higher accuracy by “optimal binarization” which is the next step. It will be.

  Next, binarization is performed in order to extract the pixel related to the insect trap from the grayscale input image, and the pixel related to the insect trap is converted to black and the pixel of the region related to the insect trap sheet is converted to white (FIG. 14 (C )). This utilizes the basic property that the area related to insect catching has a low brightness (close to black) compared to the area related to the insect catching sheet having high brightness (close to white). However, simple binarization with a fixed threshold value is not performed, but “optimal binarization” (hereinafter referred to as “optimal binarization”) is performed.

  The reason for performing the optimal binarization is as follows. In the simple binarization with a fixed threshold value that is normally used in the binarization process, the dark part of the catch of the insects on the insect catching sheet is also treated as black (pixels relating to the catch) (FIG. 14 (b)). ). On the other hand, if the threshold value is lowered to remove the shadow, an area to be processed as black may be processed as white. This is because a simple binarization process does not consider the state of surrounding pixels. On the other hand, in the optimal binarization, since the binarization process is performed while dynamically changing the threshold value in consideration of the amount of change in the luminance value of surrounding pixels, the pixel related to the insect trap is appropriately extracted. (Fig. 14 (c)).

  Although only the pixels related to the insect trapping on the insect trapping sheet are extracted in black by the optimum binarization processing, the following problem occurs when trying to detect the trapping insect as it is. 1) When catching insects are continuous with each other by legs or sho (FIG. 15 (a)), there is a high probability that two catching insects that are continuous with legs or sho will be erroneously detected as one catching insect. 2) When a single insect is dispersed in a plurality of regions (unit image regions subdivided for efficiency of detection processing) (FIG. 15 (b)), even when optimal binarization processing is performed Depending on the pattern of catching insects, the light-colored part may be processed into white, and one catching insect may be dispersed in a plurality of regions. In such a case, the probability that each separated area is erroneously detected as one insect trap increases. 3) A large number of isolated points often occur in a binarized image. Since these isolated points are an obstacle in the catching detection process, it is necessary to remove them in the preprocessing stage. Incidentally, isolated points usually tend to occur in the part of the catch of the insects or in the light part of the pattern of the catch.

  In order to solve these problems, 1) removal of thin parts such as legs and sho 2) integration of one catching area separated across multiple areas (multiple unit image areas), 3) unnecessary It is necessary to remove isolated points or to integrate isolated points that are important for constructing insect traps. And in order to perform them simultaneously, a kind of smoothing process is performed.

In the smoothing process, first, the total number of black pixels (pixels related to insect trapping) is calculated among the pixels within a certain range with the pixel of interest at the center. When the number of black pixels is half or more of the total number of pixels in the region, the pixel of interest is black, and when it is half or less, it is white. The process is performed on all pixels of the input image.
Where x: X coordinate of the pixel of interest y: Y coordinate of the pixel of interest P: Function that returns the state of the pixel at the specified coordinate
Returns 1 if the pixel value is black, and returns 0 if the pixel value is white. R: Radius of the area Black pixels are white when there are many white pixels around the area, and white pixels are black when there are many black pixels around the area. Become. That is, unlike smoothing by averaging or the like, it is possible to obtain results such as clearly closing the unevenness and holes in the region, or connecting adjacent regions.

  This process is simple and can therefore be performed at high speed. The reason why the above processing results 1) to 3) can be obtained simultaneously only by this processing will be described. 1) In a thin portion such as a leg, the surrounding pixels are often white pixels, and as a result, a result obtained by removing a thin portion such as a leg can be obtained. 2) By this smoothing process, very close regions can be integrated, but since this close region usually exists in the state where one catching insect is separated, these should be integrated. As a result, it is possible to obtain a result of integrating the areas related to the captured insects into one. 3) Isolated points can be removed for the same reason as described in the section 1). In addition, isolated points with a lot of black portions around them are not deleted but integrated into other areas related to catching insects.

  FIG. 16 is an image of each result obtained by the series of processes described so far. By performing the kind of smoothing process described above, the extra areas (legs, etc.) of the insects are removed and the areas related to one isolated insect are integrated, resulting in the formation of the central part of the insects. -Can be extracted.

<Counting process of insects (S6)>
In this step, catching insects are detected and counted. Specifically, an outline (outline) of a region (black) related to each insect trap existing in the image is obtained from the input image obtained in the preprocessing (S5) for catching insect detection. The outline is obtained by tracing the outline of the black pixel. However, if the acquired outline is an inner outline, it is discarded.

  For example, referring to FIG. 17, since the broken line is an inner outline, it is discarded. Whether it is an inner outline or not is determined by the direction and number of turns when tracking the outline. Further, the area of the obtained outer outline (thick solid line in FIG. 17) is calculated, and if it is less than a certain level, it is discarded as not catching insects (trash or partial parts of catching insects (legs, sho, etc.)) . If the area is more than a certain level, this outline is counted as one catching insect and registered in the catching insect list. When this processing is completed, a list of insect traps existing in the image is completed, and the trap counting process is completed.

  This result complements the result counted by the operator based on the division image displayed on the display device 15. Therefore, according to the inspection apparatus according to the present embodiment, the monitoring accuracy can be increased. Alternatively, if the image counting process by the image processing unit 10a is highly reliable, the inspection by the operator's observation can be omitted, and the burden on the operator can be greatly reduced.

  As described above, according to the inspection apparatus according to the present embodiment, since each section is enlarged and displayed on the display device 15 larger than the actual size, the inspection by the operator's observation is highly accurate. In addition, the burden on the operator such as eye fatigue caused by processing a large amount of insect trap sheets A,... Can be greatly reduced. In addition, by setting a plurality of insect catching sheets A,..., It is possible to acquire a lot of division images at a time and to inspect them, so that a plurality of insect catching sheets A,. It becomes like this.

  In addition, this invention is not limited to the said embodiment, A various change is possible in the range which does not deviate from the summary of this invention.

  For example, the inspection apparatus according to the above embodiment can automatically count insects by performing the image counting process. However, the inspection apparatus is not limited to this, and the identification (the taxonomic affiliation / name is clarified). May be automatically performed. In this case, as examples of micro insects, various sample images (template images) viewed from various angles, such as chironomid, Drosophila, Black-winged mushroom, flea, gallfly, gangambo, butterfly, scallop, scallop, etc., are image processing unit 10a. And template matching with the graphic in the graphic extraction image described above may be performed. In addition to the above-described method, any other known method can be adopted as the identification processing by the image processing unit 10a.

  Moreover, although the inspection apparatus according to the above embodiment is configured by separating the scanner device and the display device, the scanner device may be provided with a display so as to be integrated. Moreover, you may make it the image processing part 10a bear a separate personal computer, for example.

  In the above embodiment, the scanning head 4 is moved to perform sub-scanning. However, the scanning head 4 (imaging device 4a) is fixed and the stage is movable to perform sub-scanning. Good. However, the former is preferable because the entire apparatus can be made compact.

  In the above-described embodiment, a line CCD is used as an image pickup device. However, the present invention is not limited to this, and the CCD chip is mounted on an XY plotter or the like for scanning. The whole image may be acquired by moving in the −Y direction.

  Further, in the above embodiment, the sub-scan is performed along the longitudinal direction of the insect catching sheet A, but the sub-scan may be performed along a direction orthogonal to this, that is, along the width direction of the insect catching sheet A. Good.

  In the above-described embodiment, the insect catching sheet A is set integrally with the cartridge C. However, the insect catching sheet that does not have the cartridge in the first place, or only the insect catching sheet is set by completely pulling out the cartridge. Also good.

1 is a perspective view of an external appearance of a scanner apparatus that constitutes a part of an inspection apparatus according to the present embodiment in a state in which a stage is pulled out. FIG. 2 is an external perspective view of the scanner device with a plurality of insect catching sheets set on the pulled out stage. The internal perspective view of the scanner device with the stage pulled out is shown. FIG. 2 shows an internal transmission perspective view of the scanner device with a stage stored therein. An internal transmission front view of the scanner device is shown. The whole block diagram of the inspection apparatus which concerns on this embodiment is shown. The inspection image acquired by the inspection apparatus is shown. The flowchart of the image counting process by the inspection apparatus is shown. (A) and (b) are explanatory diagrams of the ruled line removal process according to S3 of FIG. FIG. 9 is an explanatory diagram of a ruled line removal process according to S3 of FIG. (A) and (b) are explanatory diagrams of the background removal process according to S4 of FIG. FIGS. 8A and 8B are images obtained as a result of the processing according to S1 to S4, where (A) is an input image, (B) is an image subjected to ruled line removal processing, and (C) is background removal processing. The applied image is shown. (A) shows the same image as FIG. 12 (C), and (B) shows an image that has been subjected to gray scale processing, which is the first step of the processing according to S5 of FIG. 13A is a partial image of FIG. 13B, FIG. 13B is an image subjected to simple binarization processing with a fixed threshold, and FIG. 13C is an image subjected to optimal binarization processing. , Indicate. (B) is an image in a state where a plurality of insects are connected in an image, and (b) is a unit image region where one insect catches adjacent to each other. Therefore, an image in a partially missing state is shown. (A) is an input image, (b) is an image subjected to gray scale processing, (c) is an image subjected to optimal binarization, and (d) is subjected to a kind of smoothing processing. (E), an image obtained by comparing (i) and (d) by overlapping the images. FIG. 9 is an explanatory diagram of a counting process according to S6 of FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Apparatus body of scanner apparatus 2 Stage 3 Base 4 Scanning head 4a Image sensor (imaging means)
DESCRIPTION OF SYMBOLS 10 Control part 10a Image processing part (image processing means)
15 Display device (display means)
A Insect collecting sheet X Whole image Y Section image

Claims (9)

  A long insect trapping sheet having an adhesive layer on one or both sides, a stage for setting in parallel a plurality of insect trapping sheets that are partitioned at regular intervals in the longitudinal direction and have a plurality of sections, and set on the stage An imaging unit capable of simultaneously imaging a plurality of insect trap sheets, and a section image is generated by selectively cutting out any section from the whole image acquired by the imaging unit. An insect trap sheet inspection apparatus comprising: an image processing means for displaying; and a display means for displaying a section image generated by the image processing means.   The insect capturing sheet inspection apparatus according to claim 1, wherein the image processing unit is capable of performing an insect capturing image counting process on the section image.   The insect capturing sheet inspection apparatus according to claim 2, wherein the image processing unit is capable of performing an insect capturing identification process on the section image.   The insect trapping sheet inspection apparatus according to any one of claims 1 to 3, wherein the stage is configured to be drawable with respect to the apparatus main body.   There is a step of imaging the insect capturing sheet to acquire an image of a long insect capturing sheet having an adhesive layer on one side or both sides, and a ruled line for partitioning the insect capturing sheet into a plurality of sections exists in the acquired image. If there is a background other than the catching sheet in the acquired image, the step of specifying and removing the ruled line and removing the background, A method for counting insects on an insect trap sheet, comprising: extracting a portion; and counting the traps by tracing the contour of the extracted region.   6. The method of counting images of insects on an insect trapping sheet according to claim 5, wherein the imaging step is to simultaneously image a plurality of insect trap sheets set in parallel.   The extraction step is to perform gray scale conversion and subsequent binarization on the acquired image prior to extraction of the central part of the catching insect, and the ruled line and / or background removal step comprises the insect catching sheet. The catching insect according to claim 5 or 6, wherein the pixel value of the specified ruled line and / or background pixel is converted so that the pixel related to the ruled line and / or background becomes white by the binarization. An image counting method for catching insects on a sheet.   The method of counting images of insects on an insect trap sheet according to claim 7, wherein the binarization is an optimum binarization.   The said counting step calculates | requires the area in the outline of an area | region, and when it is smaller than predetermined value, it does not add it to a count as a catching insect, The image of the catching insect in any one of Claims 5-8 Counting method.