Abstract: A presentation device is provided in a gaming machine. The presentation device includes: a small roulette wheel, a medium roulette wheel, and a large roulette wheel, having different diameters and rotatably held on the same rotation center line; a motor, rotating each roulette wheel; a communication part, transmitting and receiving a control signal to and from the gaming machine; and a control part, controlling the motor based on the control signal from the gaming machine.

Abstract: Sharpness at each focus position is calculated as an individual sharpness. Thereafter, one or M (where M is a natural number equal to or greater than 2 and smaller than N) corrective sharpness are calculated and image reference values are determined from the individual sharpness. An luminance value is calculated based on the image reference values and the corrective sharpness for each pixel. An all-in-focus image is generated by combining those luminance values.

Abstract: In an image acquisition apparatus, acquired are picked-up images 71 representing divided regions, respectively, which are obtained by dividing a predetermined region on a target object, and in the picked-up images 71, each image pair 72 representing adjacent divided regions has an overlapping region 73. The amount of relative positional deviation in each image pair 72 is specified by generating a similarity map 74 indicating a distribution of the degree of similarity. Combination positions of the picked-up images 71 are determined on the basis of the amounts of positional deviation in image pairs 72 included in the picked-up images 71 while it is assumed that an image pair 72 whose similarity map 74 has a directivity is a specific image pair 72 and a weight of the specific image pair 72 is set to be lower than those of other image pairs 72.

Abstract: An image processing method according to the invention is for dilating an object in a binary image represented by run-length code. The image processing method includes obtaining a target dilation amount representing how much the object is to be dilated, determining a first dilation amount decreasing as a density of runs in the image increases, comparing the target dilation amount and the first dilation amount, and performing an dilation processing based on the comparison result. If the target dilation amount is larger than the first dilation amount, a first dilation processing by the first dilation amount and a second dilation processing after the first dilation processing by a second dilation amount are performed. The second dilation amount is a difference between the target dilation amount and the first dilation amount. Otherwise, the dilation processing by the target dilation amount is directly performed.

Abstract: In a focusing position detection method, a plurality of object images are acquired by imaging an imaging object by an imager while changing a focal position in M stages along an optical axis. A saturation consecutive region is acquired. The saturation consecutive region is included in all N (where N is a natural number equal to or more than three and equal to and less M) object images acquired while successively changing the focal position in N stages along the optical axis. A focusing degree decrease as the focal position approaches focusing position in the saturation consecutive region. Based on this property, the focusing position is detected.

Abstract: An imaging method according to the invention includes storing image data corresponding to an original image in a memory every time one original image is obtained and calculating positional deviation amounts between the original images. For each of the original images, an object image number indicating the number of calculation object images serving as calculation objects for the positional deviation amount, is set based on a positional relationship of the imaging fields of view. The image data corresponding to a particular image is released from the memory. The particular image is an original image of which a number of the calculation object images already used to calculate the positional deviation amount between this particular image increased to the object image number.

Abstract: In a focusing position detection method, a plurality of object images are acquired by imaging an imaging object by an imager while changing a focal position in M stages along an optical axis. A saturation consecutive region is acquired. The saturation consecutive region is included in all N (where N is a natural number equal to or more than three and equal to and less M) object images acquired while successively changing the focal position in N stages along the optical axis. A focusing degree decrease as the focal position approaches focusing position in the saturation consecutive region. Based on this property, the focusing position is detected.

Abstract: Definition is calculated for each pixel in a plurality of captured images while changing a focal position. For each coordinates, an image reference value indicating the number of a to-be-referenced captured image is determined. Then, a luminance value is calculated for each coordinates on the basis of the image reference value and the definition. At this time, the luminance value in the captured image indicated by the image reference value of peripheral coordinates is reflected in the luminance value in the captured image indicated by the image reference value of each coordinates. The calculated luminance values are combined to generate an omnifocal image. Accordingly, a smooth omnifocal image is generated. The image reference values themselves are not changed. This prevents unnecessary luminance values of pixels existing in captured images that ought not to be referenced from appearing in the omnifocal image.

Abstract: Sharpness at each focus position is calculated as an individual sharpness. Thereafter, one or M (where M is a natural number equal to or greater than 2 and smaller than N) corrective sharpness are calculated and image reference values are determined from the individual sharpness. An luminance value is calculated based on the image reference values and the corrective sharpness for each pixel. An all-in-focus image is generated by combining those luminance values.

Abstract: An image processing method that includes setting a plurality of search areas of a predetermined size having mutually different circumferential positions along a peripheral edge part and extending in a radial direction from a center of a recess toward the peripheral edge part near the peripheral edge part in an image, executing an edge detection in each search area to obtain detected edge position and edge intensity for each search area, obtaining a relative shift amount for making a degree of similarity of image patterns highest for each search area when another search area adjacent to the search area in the circumferential direction is shifted in the radial direction with respect to the search area, and specifying a position of the boundary in one search area based on the edge positions, the edge intensities and the relative shift amounts in the search area and each of the search areas in neighboring ranges in the circumferential direction.

Abstract: In a focusing position detection method, a second step is carried out. The second step includes dividing the object image into a plurality of local regions, obtaining a local value indicating the degree of focalization from the local region for each of the plurality of local regions and obtaining the focus degree on the basis of the plurality of local values. Thus, even when a plurality of object images acquired by imaging an imaging object by using an imager while changing a focal position along an optical axis are relatively dark or include a high-luminance region, it is possible to stably detect a focusing position without repeating detection operations.

Abstract: An image processing method is for detecting the edge of a well where cells are analyzed, from image data obtained by capturing the well and surroundings of the well, and an edge coordinate group for the well is extracted from the image data. If a plurality of edge coordinate groups has been extracted, edge candidates for the well are generated for each of the plurality of edge coordinate groups. Then, an edge candidate that satisfies a predetermined reference value is selected from among the generated edge candidates. If a plurality of edge candidates has been selected, relative evaluations are conducted to determine the edge of the analysis region from among the plurality of edge candidates.

Abstract: In a focusing position detection method, a second step is carried out. The second step includes dividing the object image into a plurality of local regions, obtaining a local value indicating the degree of focalization from the local region for each of the plurality of local regions and obtaining the focus degree on the basis of the plurality of local values. Thus, even when a plurality of object images acquired by imaging an imaging object by using an imager while changing a focal position along an optical axis are relatively dark or include a high-luminance region, it is possible to stably detect a focusing position without repeating detection operations.

Abstract: Side coordinate groups that correspond to the four sides of the well are extracted from the edge coordinate group. Approximate lines are generated from the side coordinate groups. Corner coordinate groups that correspond to the four corners of the well are extracted from the edge coordinate group. Two intersecting approximate lines are selected from the approximate lines, and a contact candidate coordinates is set on each of the two approximate lines. Every possible pair of one contact candidate coordinate on one of the two approximate lines and one contact candidate coordinates set on the other approximate line are generated. For the generated pairs, processing for calculating an approximate curve by polynomial approximation from the corner coordinate group is performed, the approximate curve being in contact with two contact candidate coordinates. An approximate curve that is closest to the corner coordinate group is selected from all the calculated approximate curves.

Abstract: Definition is calculated for each pixel in a plurality of captured images while changing a focal position. For each coordinates, an image reference value indicating the number of a to-be-referenced captured image is determined. Then, a luminance value is calculated for each coordinates on the basis of the image reference value and the definition. At this time, the luminance value in the captured image indicated by the image reference value of peripheral coordinates is reflected in the luminance value in the captured image indicated by the image reference value of each coordinates. The calculated luminance values are combined to generate an omnifocal image. Accordingly, a smooth omnifocal image is generated. The image reference values themselves are not changed. This prevents unnecessary luminance values of pixels existing in captured images that ought not to be referenced from appearing in the omnifocal image.

Abstract: An object of the invention is to provide an image processing technique for generating an all-in-focus image with less distortion from images obtained by imaging an imaging object carried together with a liquid in a well at different focus positions. An image processing method of the invention includes obtaining a plurality of images captured by imaging an imaging object carried together with a liquid in a well with a focus position changed in a direction substantially perpendicular to a liquid surface, calculating a local movement amount between the plurality of images, determining a correlation between a distance from a center of the well and an image distortion amount based on the local movement amount, and synthesizing the plurality of images by correcting pixels in each image based on the correlation and generating an all-in-focus image.

Abstract: An image processing method that includes setting a plurality of search areas of a predetermined size having mutually different circumferential positions along a peripheral edge part and extending in a radial direction from a center of a recess toward the peripheral edge part near the peripheral edge part in an image, executing an edge detection in each search area to obtain detected edge position and edge intensity for each search area, obtaining a relative shift amount for making a degree of similarity of image patterns highest for each search area when another search area adjacent to the search area in the circumferential direction is shifted in the radial direction with respect to the search area, and specifying a position of the boundary in one search area based on the edge positions, the edge intensities and the relative shift amounts in the search area and each of the search areas in neighboring ranges in the circumferential direction.

Abstract: A plurality of captured images is first acquired by capturing images of an object while changing a focal position along an optical axis. Then, variations in magnification among the captured images are acquired. On the basis of the variations in magnification, corresponding pixels in the captured images are specified, and definition is compared among the corresponding pixels. Then, an image reference value indicating the number of a captured image that is to be referenced as the luminance value of each coordinates in an omnifocal image is determined on the basis of the result of comparison of the definition. The omnifocal image is thereafter generated by referencing the luminance value in the captured image indicated by the image reference value for each coordinates. In this way, the omnifocal image that reflects the position and size of the object accurately can be generated.

Abstract: Side coordinate groups that correspond to the four sides of the well are extracted from the edge coordinate group. Approximate lines are generated from the side coordinate groups. Corner coordinate groups that correspond to the four corners of the well are extracted from the edge coordinate group. Two intersecting approximate lines are selected from the approximate lines, and a contact candidate coordinates is set on each of the two approximate lines. Every possible pair of one contact candidate coordinate on one of the two approximate lines and one contact candidate coordinates set on the other approximate line are generated. For the generated pairs, processing for calculating an approximate curve by polynomial approximation from the corner coordinate group is performed, the approximate curve being in contact with two contact candidate coordinates. An approximate curve that is closest to the corner coordinate group is selected from all the calculated approximate curves.

Abstract: An object of the invention is to provide an image processing technique for generating an all-in-focus image with less distortion from images obtained by imaging an imaging object carried together with a liquid in a well at different focus positions. An image processing method of the invention includes obtaining a plurality of images captured by imaging an imaging object carried together with a liquid in a well with a focus position changed in a direction substantially perpendicular to a liquid surface, calculating a local movement amount between the plurality of images, determining a correlation between a distance from a center of the well and an image distortion amount based on the local movement amount, and synthesizing the plurality of images by correcting pixels in each image based on the correlation and generating an all-in-focus image.