Abstract: The position of an antenna incorporated in a capsule-type endoscope 3 that moves in a body is estimated using a plurality of antennae, and where the distance dij between two positions Pti and P(t?1)j estimated at adjacent times falls within a predetermined value, pieces of information for these positions are related to each other and stored in a memory as connection information. Subsequently, processing for searching for a route from the connection information stored in the memory and calculating a track is performed.

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: 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: An endoscope device obtains tissue information of a desired depth near the tissue surface. A xenon lamp (11) in a light source (4) emits illumination light. A diaphragm (13) controls a quantity of the light that reaches a rotating filter. The rotating filter has an outer sector with a first filter set, and an inner sector with a second filter set. The first filter set outputs frame sequence light having overlapping spectral properties suitable for color reproduction, while the second filter set outputs narrow-band frame sequence light having discrete spectral properties enabling extraction of desired deep tissue information. A condenser lens (16) collects the frame sequence light coming through the rotating filter onto the incident face of a light guide (15). The diaphragm controls the amount of the light reaching the filter depending on which filter set is selected.

Abstract: An endoscope device obtains tissue information of a desired depth near the tissue surface. A xenon lamp (11) in a light source (4) emits illumination light. A diaphragm (13) controls a quantity of the light that reaches a rotating filter. The rotating filter has an outer sector with a first filter set, and an inner sector with a second filter set. The first filter set outputs frame sequence light having overlapping spectral properties suitable for color reproduction, while the second filter set outputs narrow-band frame sequence light having discrete spectral properties enabling extraction of desired deep tissue information. A condenser lens (16) collects the frame sequence light coming through the rotating filter onto the incident face of a light guide (15). The diaphragm controls the amount of the light reaching the filter depending on which filter set is selected.

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 endoscope inserting direction detecting system receives an endoscopic image, detects an endoscope inserting direction, in which an endoscope should be inserted, on the basis of the endoscopic image and produces information concerning the detected inserting direction. A plurality of detecting algorithms, each of which detect the inserting direction, are included and any of the plurality of detecting algorithms can be selected based on the endoscopic image.

Abstract: At step S1, a red image is acquired from among red, green, and blue images constituting a received endoscopic image. At step S2, M sampling-pixels (where M denotes an integer equal to or larger than 1) are selected from the data of the red image. At step S3, a gradient vector is calculated in order to determine the direction of a gradient in brightness represented by each sampling-pixel. At step S4, the direction of a lumen is detected. At step S5, the detected direction of a lumen is adopted as an inserting direction and arrow information is superposed on an image. The resultant image is displayed on a display device. Control is then returned to step S1, and the same steps are repeated relative to data of the next frame. Consequently, even if the lumen disappears from a field of view for imaging, the inserting direction can be detected.

Abstract: At step S1, a red image is acquired from among red, green, and blue images constituting a received endoscopic image. At step S2, M sampling-pixels (where M denotes an integer equal to or larger than 1) are selected from the data of the red image. At step S3, a gradient vector is calculated in order to determine the direction of a gradient in brightness represented by each sampling-pixel. At step S4, the direction of a lumen is detected. At step S5, the detected direction of a lumen is adopted as an inserting direction and arrow information is superposed on an image. The resultant image is displayed on a display device. Control is then returned to step S1, and the same steps are repeated relative to data of the next frame. Consequently, even if the lumen disappears from a field of view for imaging, the inserting direction can be detected.

Abstract: At step S1, a red image is acquired from among red, green, and blue images constituting a received endoscopic image. At step S2, M sampling-pixels (where M denotes an integer equal to or larger than 1) are selected from the data of the red image. At step S3, a gradient vector is calculated in order to determine the direction of a gradient in brightness represented by each sampling-pixel. At step S4, the direction of a lumen is detected. At step S5, the detected direction of a lumen is adopted as an inserting direction and arrow information is superposed on an image. The resultant image is displayed on a display device. Control is then returned to step S1, and the same steps are repeated relative to data of the next frame. Consequently, even if the lumen disappears from a field of view for imaging, the inserting direction can be detected.

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: At step S1, a red image is acquired from among red, green, and blue images constituting a received endoscopic image. At step S2, M sampling-pixels (where M denotes an integer equal to or larger than 1) are selected from the data of the red image. At step S3, a gradient vector is calculated in order to determine the direction of a gradient in brightness represented by each sampling-pixel. At step S4, the direction of a lumen is detected. At step S5, the detected direction of a lumen is adopted as an inserting direction and arrow information is superposed on an image. The resultant image is displayed on a display device. Control is then returned to step S1, and the same steps are repeated relative to data of the next frame. Consequently, even if the lumen disappears from a field of view for imaging, the inserting direction can be detected.

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: Provided are an endoscopic diagnosis support method, an endoscopic diagnosis support apparatus, and an endoscopic diagnosis support program, all of which are capable of extracting an image picking up a bleeding region easily and accurately from among a large number of endoscopic images picked up by an endoscope observation apparatus by calculating a tone from a color signal of each of plural image zones obtained by dividing the endoscopic image; and discerning an image zone including a bleeding region by judging a difference among each of the plural image zones based on a tone of the calculated each image zone in the endoscopic diagnosis support apparatus for supporting an endoscopic diagnosis performed based on an endoscopic image picked up by an endoscope observation apparatus.

Abstract: The present invention comprises: a pixel sampling unit that samples a stated pixel value from each of domains constituting an endoscopic image received by an image input/output control circuit; a shape-of-range estimating unit that estimates the shape of a range within the endoscopic image according to the continuity of the distribution of the pixels indicating the stated pixel value; and an inserting direction determining unit that determines an inserting direction within a body cavity, in which an endoscope should be further inserted, on the basis of the estimated shape. The inserting direction is displayed together with the endoscopic image, whereby the direction of a lumen can be determined reliably despite a simple configuration.

Abstract: At step S1, a red image is acquired from among red, green, and blue images constituting a received endoscopic image. At step S2, M sampling-pixels (where M denotes an integer equal to or larger than 1) are selected from the data of the red image. At step S3, a gradient vector is calculated in order to determine the direction of a gradient in brightness represented by each sampling-pixel. At step S4, the direction of a lumen is detected. At step S5, the detected direction of a lumen is adopted as an inserting direction and arrow information is superposed on an image. The resultant image is displayed on a display device. Control is then returned to step S1, and the same steps are repeated relative to data of the next frame. Consequently, even if the lumen disappears from a field of view for imaging, the inserting direction can be detected.

Abstract: An endoscope shape detection system has a CPU included in a control unit. The CPU performs frequency sampling of digital data to calculate coordinates indicating the spatial positions of source coils incorporated in an insertion unit of an endoscope received in a patient and of marker coils placed on a patient. An inserted state of the insertion unit of the endoscope is estimated based on the calculated coordinate data indicating the positions of the source coils. Display data based on the shape of the endoscope is produced from the calculated coordinate data indicating the positions of the source coils, and output to a video RAM. Display data of the marker coils is produced from the calculated coordinate data indicating the positions of the marker coils, and output to the video RAM. Consequently, the positions of the markers are depicted together with the shape of the endoscope. The positional relationship between the insertion unit of the endoscope and a patient's body can therefore be ascertained.

Abstract: An endoscope device according to the present invention aims to obtain tissue information of a desired depth near the tissue surface of the living body tissue, wherein a light source device (4) is configured of a xenon lamp (11) for emitting illumination light, a heat ray cut filter (12) for shielding heat rays from the white light, a diaphragm device (13) for controlling the light quantity of the white light through the heat ray cut filter (12), a rotating filter (14) comprising a first filter set for outputting frame sequence light having overlapping spectral properties suitable for color reproduction situated on the outer sector and a second filter set for outputting narrow-band frame sequence light having discrete spectral properties enabling extraction of desired deep tissue information situated on the inner sector, for turning the illumination light into frame sequence light, a condenser lens (16) for collecting the frame sequence light coming through the rotating filter (14) onto the incident face of a

Abstract: A shape-of-endoscope detection system has a CPU included in a control unit. The CPU performs frequency sampling on digital data to calculate coordinates indicating the spatial positions of source coils incorporated in an insertion unit of an endoscope and of marker coils. An inserted state of the insertion unit of the endoscope is estimated based on the calculated coordinate data indicating the positions of the source coils. Display data based on which the shape of the endoscope is depicted is produced from the calculated coordinate data indicating the positions of the source coils, and output to a video RAM. Display data based on which the marker coils are depicted is produced from the calculated coordinate data indicating the positions of the marker coils, and output to the video RAM. Consequently, the positions of the markers are depicted together with the shape of the endoscope. The positional relationship between the insertion unit of the endoscope and a patient's body can therefore be grasped.

Abstract: An endoscope shape detection system has a CPU included in a control unit. The CPU performs frequency sampling on digital data to calculate coordinates indicating the spatial positions of source coils incorporated in an insertion unit of an endoscope and of marker coils. An inserted state of the insertion unit of the endoscope is estimated based on the calculated coordinate data indicating the positions of the source coils. Display data based on which shape of the endoscope depicted is produced from the calculated coordinate data indicating the positions of the source coils, and output to a video RAM. Display data based on which marker coils are depicted is produced from the calculated coordinate data indicating the positions of the marker coils, and output to the video RAM. Consequently, the positions of the markers are depicted together with the shape of the endoscope. The positional relationship between the insertion unit of the endoscope and a patient's body can therefore be ascertained.