Abstract: A floor coating material including one or both of a silane coupling agent and an alkoxysilane, as a first component; one or both of silica and a metal oxide, as a second component; a leveling agent as a third component; a curing catalyst as a fourth component; and water as a fifth component; wherein a content of the first component is 5 mass % or more and 70 mass % or less, a content of the second component is 1 mass % or more and 50 mass % or less, a content of the third component is 0.001 mass % or more and 1 mass % or less, a content of the fourth component is 0 mass % or more and 7 mass % or less, and a content of the fifth component is a balance, all based on the total mass of the first to fifth components.

Abstract: There is disclosed an area detection apparatus in which a reference image having a predetermined pattern is prepared beforehand, and an area having the same pattern as the reference image is detected from an inputted search image. A reference image, in which only a pattern is determined, but density values for each area are not determined, is prepared. Respective density mean values for partial areas of the noticed area, each of which correspond to the associated one of partial areas of the reference area, are allocated to the reference area. A correlation operation is performed between the noticed area and the reference image to which the density mean values are allocated. The area detection apparatus is capable of detecting areas with greater accuracy, involving no necessity for an especial hardware or no greatly increasing an amount of operations, even if brightness is varied.

Abstract: An image processing process wherein an image is divided into small areas, a polar transformation is applied to the image in each of the small areas, and image processing is performed based on the result of the polar transformation. Further, each of a plurality of images is divided into small areas, a polar transformation is applied to the image in each of the small areas for each of the plurality of images, and correlation is obtained between the results of the polar transformation for the plurality of images. One-dimensional filter processing is applied to the polar-transformed output.

Abstract: An image processing process wherein an image is divided into small areas, a polar transformation is applied to the image in each of the small areas, and image processing is performed based on the result of the polar transformation. Further, each of a plurality of images is divided into small areas, a polar transformation is applied to the image in each of the small areas for each of the plurality of images, and correlation is obtained between the results of the polar transformation for the plurality of images. One-dimensional filter processing is applied to the polar-transformed output.

Abstract: A system for and a method of recognizing and tracking a target mark with a video camera is disclosed. The system includes a target mark (10) disposed on an object (1) and composed of a black circle and a white triangle mounted centrally on the black circle and three-dimensionally shifted from the black circle, a video camera (20) for imaging the target mark (10), a robot (30) supporting the video camera (20) and movable in directions with six degrees of freedom, an image processor (40) for processing image data of the target mark which is produced by the video camera (20), a shift calculating unit (50) for detecting a shift of the target mark (10) from projected histogram information of the target mark (10) which is produced by the image processor (40), and a robot controller (60) for controlling movement of the robot depending on the shift to enable the video camera (20) to track the target mark (10). The system is capable of tracking the target mark (20) attached to the object (1) on a real-time basis.

Abstract: A system for and a method of recognizing and tracking a target mark with a video camera is disclosed. The system includes a target mark (10) disposed on an object (1) and composed of a black circle and a white triangle mounted centrally on the black circle and three-dimensionally shifted from the black circle, a video camera (20) for imaging the target mark (10), a robot (30) supporting the video camera (20) and movable in directions with six degrees of freedom, an image processor (40) for processing image data of the target mark which is produced by the video camera (20), a shift calculating unit (50) for detecting a shift of the target mark (10) from projected histogram information of the target mark (10) which is produced by the image processor (40), and a robot controller (60) for controlling movement of the robot depending on the shift to enable the video camera (20) to track the target mark (10). The system is capable of tracking the target mark ( 20) attached to the object (1) on a real-time basis.

Abstract: A method of extracting a line segment contained in an original image includes the steps of clipping an image, which conforms to the size of a receptive field defining a small area, from the original image, projecting the clipped receptive-field image from a predetermined projection direction onto an axis (.rho. axis) that intersects the projection direction to obtain projection values at positions along the .rho. axis, subjecting the projection values to differentiation processing along the .rho. axis, similarly subjecting projection values, which are obtained by successively varying a projection-direction angle .theta. incrementally a predetermined amount, to differentiation processing along the .rho. axis to thereby obtain a differential value at each position on a .rho.-.theta. plane, and extracting a line segment contained in the receptive-field image based upon a peak position (.rho.,.theta.) of the differential values.