Abstract:
An autonomous mobile apparatus includes a controller, an image acquirer, an inertia measurer, a distance measurer, and a storage. The controller updates environment map information stored in the storage. The controller estimates a height from a reference surface, based on an image obtained by the image acquirer. The inertia measurer detects an amount of fluctuation of the height. The distance measurer detects whether or not the bottom portion of the autonomous mobile apparatus is in contact with an object. The controller, if having detected a change in height equal to or larger than a reference from information obtained from the image acquirer, the inertia measurer, or the distance measurer, stops updating the environment map information or deletes the environment map information.
Abstract:
Edges of layers are detected from an input image to create a boundary line candidate image that represents the detected edges. A luminance value of the input image is differentiated to create a luminance value-differentiated image that represents luminance gradient of the layers. An evaluation score image is created which is obtained by weighting calculation at an optimum ratio between a boundary line position probability image and the luminance value-differentiated image. The boundary line position probability image is obtained from the boundary line candidate image and an existence probability image that represents existence of a boundary line to be extracted. A route having the highest total evaluation score is extracted as the boundary line. According to such an image processing apparatus and image processing method, boundary lines of layers can be extracted with a high degree of accuracy from a captured image of a target object composed of a plurality of layers.
Abstract:
An image capturing apparatus includes: an imaging element; a main lens that condenses light from a subject toward the imaging element; a micro lens array that is configured by a plurality kinds of micro lenses with different focal lengths that is disposed between the imaging element and the main lens and causes light transmitted through the main lens to form an image on the imaging element; and a CPU that, in response to receiving a designation of a distance to a side of a subject that is photographed, performs weighting for each image that is imaged by the plurality kinds of micro lenses of the imaging element based on the distance so as to constitute one captured image.
Abstract:
A sleep stage estimation device includes a subject data acquisition unit that acquires pulsation data and body movement data of a subject, a sleep stage probability estimation unit that acquires a feature quantity sequence from the pulsation data and estimates a sleep stage probability sequence of the subject from the acquired feature quantity sequence by using a learned sleep stage probability estimation model, a sleep stage transition probability estimation unit that acquires a body movement amount sequence from the body movement data and estimates a sleep stage transition probability sequence of the subject from the acquired body movement amount sequence by using a learned sleep stage transition probability estimation model, and a sleep stage estimation unit that estimates a sleep stage sequence of the subject from the sleep stage probability sequence and the sleep stage transition probability sequence by using a learned conditional random field model.
Abstract:
The image processing apparatus includes a boundary line extraction means that extracts a boundary line of a layer from an input image obtained by capturing an image of a target object composed of a plurality of layers. The boundary line extraction means is configured to first extract boundary lines at upper and lower ends of the target object, limit a search range using the extracted boundary lines at the upper and lower ends to extract another boundary line, limit the search range using an extraction result of the other boundary line to extract still another boundary line, and then sequentially repeat similar processes to extract subsequent boundary lines. In another aspect, the image processing apparatus includes a boundary line extraction means that extracts a boundary line of a layer from an input image obtained by capturing an image of a target object composed of a plurality of layers and a search range setting means that utilizes an already extracted boundary line extracted by the boundary line extraction means to dynamically set a search range for another boundary line. According to such an image processing apparatus and image processing method, boundary lines of layers can be extracted with a high degree of accuracy from a captured image of a target object composed of a plurality of layers.
Abstract:
A diagnostic apparatus for diagnosing a disease using a captured image of an affected area, the apparatus including a memory configured to memorize the captured image; and a processor configured to process the memorized image memorized in the memory. The processor is configured to perform a highlighting process which includes separating the captured image into the brightness component and a color information component; separating the brightness component into a base component and a detail component; highlighting the separated brightness component; and adding a region to be diagnosed in the captured image to the highlighted brightness component while a specified color of the region to be diagnosed is maintained.
Abstract:
An image processing apparatus of the present invention acquires a photographed image of an object on which a plurality of indicators have been arranged, recognizes an indicator in the photographed image, detects the position of the indicator, judges the state of the object based on the detected position of the indicator, and judges the state of the photographed image based on the detected positional relationship of the plurality of indicators, when the judged state of the object is a predetermined state.