Abstract:
A medical image processing method for image processing of a medical image picking up an image of a living mucous comprises a boundary information detecting step for detecting boundary information corresponding to a boundary portion of a living mucous from the medical image and a mucous feature detecting step for detecting presence of a living mucous with a different feature on the basis of the boundary information detected at the boundary information detecting step.
Abstract:
There is provided a medical image processing apparatus including an image-extracting section extracting a frame image from in vivo motion picture data picked up by an in vivo image pickup device or a plurality of consecutively picked-up still image data, and an image analysis section analyzing the frame image extracted by the image-extracting section to output an image analysis result. The image analysis section includes a first biological-feature detection section detecting a first biological feature, a second biological-feature detection section detecting, based on a detection result obtained by the first biological feature detection section, a second biological feature in a frame image picked up temporally before or after the image used for detection by the first biological feature detection section; and a condition determination section making a determination for a biological condition based on a detection result obtained by the second biological feature detection section to output the determination.
Abstract:
A plurality of images inputted in an image signal input portion are divided into a plurality of regions by an image dividing portion, and a feature value in each of the plurality of regions is calculated by a feature value calculation portion and divided into a plurality of subsets by a subset generation portion. On the other hand, a cluster classifying portion classifies a plurality of clusters generated in a feature space into any one of a plurality of classes on the basis of the feature value and occurrence frequency of the feature value. And a classification criterion calculation portion calculates a criterion of classification for classifying images included in one subset on the basis of a distribution state of the feature value in the feature space of each of the images included in the one subset.
Abstract:
A capsule medical system is provided that accurately detects the location at which biological information, such as an image captured in a living body, is acquired. A circular loop antenna 23 incorporated in an endoscopic capsule traveling in a living body transmits a high-frequency signal and a plurality of antennas 11a to 11i disposed on a body surface of the living body receives the signal. A CPU 36 defines the initial location and orientation of the antenna 23. The CPU then performs an estimation process on the initial location and orientation so as to compute new estimated location and orientation and update the initial location and orientation to the new location and orientation. The CPU similarly performs the estimation process on the updated location and orientation. The CPU performs accurate location estimation by repeatedly performing the estimation process until the amount of shift of the location computed and updated by the estimation process reaches a sufficiently small value.
Abstract:
An image processing apparatus and an image processing method which can improve efficiency of observation by a user are provided. The image processing apparatus of the present invention includes an image inputting unit configured to input a medical image including a plurality of color signals; a determining unit configured to determine whether the biological mucosa is sufficiently captured in the inputted medical image or not; and a controlling unit configured to control at least either of display or storage of the medical image based on the determination result in the determining unit.
Abstract:
An image pickup unit captures an image of a subject and outputs the image of the subject as an image pickup signal. A control unit determines with respect to similarity among a plurality of images contained in an image group in accordance with the image pickup signals of two or more frames among those output from the image pickup unit based on a predetermined threshold value indicating a magnitude of fluctuation between the images contained in the image group, and controls to output an image signal based on a result of the determination.
Abstract:
Insertion of a probe comprising an array of 16 source coils through a forceps channel of an electronic endoscope prepares the source coils in the insert of electronic endoscope for use in monitoring work objects. To a bed where a patient lies, are mounted two sets of sensor coils crossing at a right angle to each other, each of which comprises at least four single core coils with a common central axis placed on the same line in the same direction. A control section of the system gives signals with radiofrequencies (driving signals) through source cables to the source coils, to excite the source coils to generate magnetic fields around them.
Abstract:
A group of vectors are set to transform each signal of an endoscopic image resolved into a plurality of color signals into a plurality of new color signals based on statistical characteristics of the image. Also, the color signals of the endoscopic image are transformed into new color signals by a matrix operation using the group of vectors for the new color signals. After filtering is applied to the plurality of new color signals, the plurality of new color signals are transformed into a plurality of original color signals by a matrix operation using an inverse matrix of the matrix used in the matrix operation.
Abstract:
This electronic endoscope apparatus comprises an elongate insertable part, two image forming optical systems provide in the tip part of the insertable part and an integrated imaging device provided in the tip part of the insertable part and having two imaging regions in which object images are formed by two image forming optical systems. The imaging device has, for example, one solid state imaging device having two imaging regions or has two solid state imaging devices made integral.
Abstract:
A medical device system includes a manipulator including a plurality of joints, a parameter storing portion for storing joint parameters, including a largest available force, of each joint of the plurality of joints, a trajectory inputting portion for inputting, as a trajectory plan, trajectories for moving a distal end of the manipulator from a current position and attitude to a target position and attitude, a trajectory setting portion for setting a joint angle trajectory for each joint providing a largest available force from among joint angle trajectories which allow movement to the target position and attitude with a minimum number of driven joints based on a largest available force parameter for the each joint stored in the parameter storing portion and the trajectory plan.