Patent application number | Description | Published |
20110131158 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - An information processing apparatus that selects a plurality of feature amounts acquired by applying a filter to learning data and generates a discriminator based on the selected feature amounts includes a time specification unit configured to specify a calculation time required for acquiring a feature amount of a selection candidate by applying the filter to the selected feature amounts or the learning data, a precision specification unit configured to specify a precision of a discriminator generated based on the feature amount of the selection candidate and the selected feature amounts, a selection unit configured to select the feature amount of the selection candidate based on the calculation time and the precision, and a generation unit configured to generate the discriminator based on the selected feature amounts. | 06-02-2011 |
20110211057 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, PROGRAM, AND PROGRAM RECORDING MEDIUM - An image processing unit obtains information indicating continuity of tomograms of a subject's eye, and a determining unit determines the image capturing state of the subject's eye on the basis of the information obtained by the image processing unit. | 09-01-2011 |
20110242484 | IMAGE PROCESSING APPARATUS AND METHOD - An image processing apparatus for supporting imaging diagnosis of an eye is provided. A layer boundary of a retina region is detected from a tomographic image. A position where the detected layer boundary intersects with an upper or lower limit position of the image in the depth direction of the tomographic image is determined as a dividing position. The tomographic image is divided at the determined dividing position by a scan line in the depth direction of the tomographic image. Subsequently, whether the detection is a false detection is judged for each divided region. An average density value of the image outside the retina region according to the detected result is calculated for each divided region, and the detection in the divided region is judged to be a false detection if the average density value is equal to or greater than a predetermined threshold. | 10-06-2011 |
20120070049 | IMAGE PROCESSING APPARATUS, CONTROL METHOD THEREOF, AND COMPUTER PROGRAM - An image processing apparatus, which analyzes retina layers of an eye to be examined, comprising, means for extracting a feature amount, which represents an anatomical feature in the eye to be examined, from a projection image obtained from a tomogram of the retina layers and a fundus image of the eye to be examined, means for determining a type of the anatomical feature based on the feature amount, means for deciding layers to be detected from the retina layers according to the determined type of the anatomical feature, and detecting structures of the decided layers in the tomogram, and means for modifying the structure of the layer included in a region having the anatomical feature of the structures of the layers detected by the layer structure detection means. | 03-22-2012 |
20120070059 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM - An image processing apparatus comprising, boundary extraction means for detecting boundaries of retina layers from a tomogram of an eye to be examined, exudate extraction means for extracting an exudate region from a fundus image of the eye to be examined, registration means for performing registration between the tomogram and the fundus image, and calculating a spatial correspondence between the tomogram and the fundus image, specifying means for specifying a region where an exudate exists in the tomogram using the boundaries of the retina layers, the exudate region, and the spatial correspondence, likelihood calculation means for calculating likelihoods of existence of the exudate in association with the specified region, and tomogram exudate extraction means for extracting an exudate region in the tomogram from the specified region using the likelihoods. | 03-22-2012 |