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:
A bioinformation acquiring apparatus includes at least one processor and a memory configured to store a program to be executed in the processor. The processor acquires a waveform signal representing vibrations of a target, the vibrations resulting from heartbeats of the target; extracts provisional heartbeat timings from the acquired waveform signal based on a first time window; the provisional heartbeat timings indicating provisional values of heartbeat timings being timings at which the heartbeats of the target occur; acquires corrective peak timings from the acquired waveform signal based on a second time window having a shorter time length than the first time window, each of the corrective peak timings serving as a discrete correction unit for correction of the provisional heartbeat timings; corrects the extracted provisional heartbeat timings into definitive heartbeat timings based on the acquired corrective peak timings; and acquires bioinformation on the heartbeats of the target based on the corrected heartbeat timings.
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:
A region specification method is provided of specifying a subject region including a subject from a subject existing image in which a background and the subject exist. The region specification method including: calculating an image boundary pixel number of an image boundary of the subject existing image constituting an edge part of each of divided regions into which the subject existing image is divided by a borderline defined on the subject existing image; specifying, from the divided regions, a reference region having a pixel percentage equal to or more than a predetermined percentage, the pixel percentage indicating the calculated image boundary pixel number in a total pixel number of the edge part; and specifying the subject region from the divided regions of the subject existing image by taking the reference region specified in the specifying the reference region as a reference.
Abstract:
An image processing apparatus of the present invention acquires a photographed image of an object on which indicators have been arranged, detects the indicators from the photographed image with use of a comparison reference image for pattern matching prepared in advance, and instructs to perform predetermined processing based on the detected indicators. The indicators each have a pattern where influence of geometrical image distortion generated corresponding to a photographing distance or a photographing angle with respect to the object is restrained by a central portion of the photographed image, and the comparison reference image is a partial image corresponding to a central portion of the indicator. The indicators are detected from the photographed image by comparing the comparison reference image with the acquired photographed image.
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 difference degree evaluation device includes a signal acquisition unit which acquires at least two signals which are objects of matching, a memory unit which stores one of the two signals, which are acquired by the signal acquisition unit, as a reference signal, and stores the other of the two signals as an object signal, a sample extraction unit which extracts sample points in a predetermined block from the reference signal that is stored in the memory unit, and extracts sample points corresponding to the sample points of the reference signal from the object signal, and an arithmetic process unit which finds absolute difference values between the sample points of the reference signal and the sample points of the object signal, which are extracted by the sample extraction unit, and calculates a maximum value of the absolute difference values as an evaluation value.
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:
The invention provides a method of processing an image in a diagnostic apparatus 100 of diagnosing a disease using a captured image of an affected area, comprising: a separating step of separating the captured image into a brightness component and a color information component; and an extracting step of extracting a region to be diagnosed based on the brightness component or the color information component of the configured image to highlight likeness of the region.
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.