摘要:
An image processing device that sequentially generates a synthetic image by joining a first image, which is a single image or constituted by a plurality of the images joined together, and a second image that is input, every time when the second image is input, includes: an overlapping region obtainment portion 14 that obtains a motion vector on the basis of the second image and an image input immediately before the second image among the images constituting the first image, and obtains an overlapping region where the image input immediately before and the second image overlap each other on the basis of the obtained motion vector; a brightness-value conversion factor calculation portion 16 that calculates a brightness conversion factor for converting a brightness value of the first image or a brightness value of the second image on the basis of the brightness value of the first image and the brightness value of the second image in the overlapping region so that a change in the brightness values between the first image and the second image becomes small; and a synthetic image generation portion 12 that generates the synthetic image by converting the first image or the second image using the brightness conversion factor and by joining the first image and the second image.
摘要:
An image processing device that accumulatively generates a synthetic image by joining a first image, which is a single image or is constituted by a plurality of the images joined together, and a second image that is input, every time when the second image is input, the device comprising: a center-position obtainment portion (11) that obtains position information on a first center point being a center point of each of the images constituting the first image and position information on a second center point being a center point of the second image; and a synthetic image generation portion (12) that obtains the first center point of an image overlapping the second image among the images constituting the first image, and that joins the first image and the second image to generate the synthetic image, using perpendicular bisectors between the obtained first center points and the second center point as a joint between the first image and the second image, based on the obtained position information on the first center points and the obtained position information on the second center point.
摘要:
The invention provides an image identification device uses a separating plane to classify block images into the categories. The image identification device includes a target image input unit inputting a target image, a block image generation unit generates block images, a feature quantity computing unit computes feature quantities of the block images, and a category determination unit determines whether the block images are classified into the categories or not. The feature quantity computing unit uses local feature quantities of the block images and a global feature quantity of the target image as a whole, and also in a feature quantity space using features of the block images as coordinate axes, uses coordinate positions of feature quantity vectors optional areas in the feature quantity space to count the block images and causes the global feature quantity to include the number of the block images thus counted.
摘要:
The invention provides an image identification device that classifies block images obtained by dividing a target image into predetermined categories, using a separating plane learning of which has been completed in advance for each of the categories. The image identification device includes a target image input unit inputs the target image, a block image generation unit divides the target image into blocks to generate the block images, a feature quantity computing unit computes feature quantities of the block images, and a category determination unit determines whether the block images are classified into one of the categories or not, using the separating plane and coordinate positions corresponding to magnitudes of feature quantities of the block images in a feature quantity space, wherein the feature quantity computing unit uses, as a feature quantity of a given target block image, local feature quantities and a global feature quantity.
摘要:
An image processing device that sequentially generates a synthetic image by joining a first image, which is a single image or constituted by a plurality of the images joined together, and a second image that is input, every time when the second image is input, includes: an overlapping region obtainment portion 14 that obtains a motion vector on the basis of the second image and an image input immediately before the second image among the images constituting the first image, and obtains an overlapping region where the image input immediately before and the second image overlap each other on the basis of the obtained motion vector; a brightness-value conversion factor calculation portion 16 that calculates a brightness conversion factor for converting a brightness value of the first image or a brightness value of the second image on the basis of the brightness value of the first image and the brightness value of the second image in the overlapping region so that a change in the brightness values between the first image and the second image becomes small; and a synthetic image generation portion 12 that generates the synthetic image by converting the first image or the second image using the brightness conversion factor and by joining the first image and the second image.
摘要:
The invention provides an image identification device that classifies block images obtained by dividing a target image into predetermined categories, using a separating plane learning of which has been completed in advance for each of the categories. The image identification device includes a target image input unit inputs the target image, a block image generation unit divides the target image into blocks to generate the block images, a feature quantity computing unit computes feature quantities of the block images, and a category determination unit determines whether the block images are classified into one of the categories or not, using the separating plane and coordinate positions corresponding to magnitudes of feature quantities of the block images in a feature quantity space, wherein the feature quantity computing unit uses, as a feature quantity of a given target block image, local feature quantities and a global feature quantity.
摘要:
An image processing device that accumulatively generates a synthetic image by joining a first image, which is a single image or is constituted by a plurality of the images joined together, and a second image that is input, every time when the second image is input, the device comprising: a center-position obtainment portion (11) that obtains position information on a first center point being a center point of each of the images constituting the first image and position information on a second center point being a center point of the second image; and a synthetic image generation portion (12) that obtains the first center point of an image overlapping the second image among the images constituting the first image, and that joins the first image and the second image to generate the synthetic image, using perpendicular bisectors between the obtained first center points and the second center point as a joint between the first image and the second image, based on the obtained position information on the first center points and the obtained position information on the second center point.