Olympus Corporation

Topy Kogyo Kabushiki Kaisha

Purdue Research Foundation

Om Digital Solutions Corporation

Olympuc Corporation

Hidekazu Iwaki

Takashi Miyoshi

Akio Kosaka

Kazuhiko Arai

Kazuhiko Takahashi

Shingo Tsukui

Seiji Oomura

Arata Shinozaki

Mitsunori Kubo

Takayuki Nakatomi

Avinash C Kak

Johnny Park

Henry Ponti Medeiros

Osamu Nonaka

Takayoshi Togino

Susumu Hashimoto

Nobuyuki Watanabe

Koji Sakai

Katsuichi Imaizumi

Kazuhiko Osa

Toshihide Nozawa

Tomoya Sato

Keiji Okada

Yoshihisa Ogata

Suguru Okaniwa

Yoichi Yoshida

Kei Takasugi

Hisumi Esaki

Takuma Akazawa

Hirokazu Nozaki

Koji Sakurai

Taisei Kondo

Masahiro Fujimoto

Yasunori Ohki

An image processing system includes an interface to which an annotation result on a learning image captured inside a living body is input and a processor including hardware. The processor acquires metadata including difficulty information indicating difficulty of the annotation of the learning image itself, determines reliability information indicating reliability of the annotation result based on the metadata, and outputs a dataset in which the learning image, the annotation result, and the reliability information are associated with each other, as data used in generating a trained model used in inference based on deep learning on an inference target image captured inside a living body.

Image processing system, image processing device, endoscope system, interface, image processing method and information storage medium

An endoscopic image processing apparatus includes an image acquiring unit, a region-of-interest detection unit, a detection cessation determination unit, a display determination unit, and a display output unit. The detection cessation determination unit determines whether a detection of a region of interest in the region-of-interest detection unit has ceased. The display determination unit performs a display propriety determination as a determination of whether to display assisting information on a display unit, when a cessation determination is acquired in the detection cessation determination unit. The assisting information is information for assisting the region of interest, the detection of which has ceased, to be restored on a screen of a display unit.

Endoscopic image processing apparatus, endoscopic image processing method, and non-transitory computer readable recording medium

An endoscope image processing device includes a processor. The processor sequentially receives an observation image obtained by performing image pickup of an object inside a tubular portion of a subject, performs processing for detecting a region of interest with respect to the observation image, performs judgement processing as to whether degradation of visibility of the region of interest included in the observation image is predicted, and performs emphasis processing for emphasizing the position of the region of interest when a judgement result indicating that the degradation of visibility of the region of interest included in the observation image is predicted is acquired by the judgement processing.

Endoscope image processing device and endoscope image processing method

An image pickup system includes an input/output modeling section, the input/output modeling sectioncreating, as a population, an image group obtained when a specific target is photographed, (access image), and generating an inference model by using, as teacher data, sequential images selected from the image group created as the population, based on whether the specific target can be accessed, wherein each image of the image group is associated with date and time information and/or position information, and the input/output modeling sectiongenerates an inference model for determining based on the date and time information and/or the position information whether a process to the specific target is good or bad.

Learning device, image pickup apparatus, image processing device, learning method, non-transient computer-readable recording medium for recording learning program, display control method and inference model manufacturing method

An endoscopic image processing device includes one or more processors. The processors perform: detecting a region of interest for an observation image, the observation image being obtained by picking up an image of an object and being sequentially input to the processors, judging whether detection of the region of interest continues or not to acquire a judgment result, emphasizing with adding visual information for emphasizing a position of the region of interest to the observation image during a period during which the region of interest is detected. The processors cause an appearance of the visual information added to the observation image to differ between a case where the detection of the region of interest continues for a predetermined time period or more and a case where the detection of the region of interest discontinues in a time period shorter than the predetermined time period, based on the judgment result.

Endoscopic image processing device and endoscopic image processing method

A robot R includes a pair of crawler devicessupported by a body. Each of the crawler devicesincludes a crawler unitsupported by the bodysuch that the crawler unitis rotatable about a first rotational axis L. The crawler unitincludes a supportextending along the first rotational axis Land a pair of crawler partsA,B mounted on the support. Each of the crawler deviceincludes a rolling driving memberconnected to the supportof the crawler unit, a rolling motorthat rotationally drives the rolling driving member, a crawler drive shaftextending along the first rotational axis Lthrough a gap between the pair of crawler partsA,B, a crawler motorthat rotationally drives the crawler drive shaftand a torque transmitting mechanismthat transmits rotary torque of the crawler drive shaftto the pair of crawler partsA,B, The crawler motor, as well as the rolling motor, is disposed outside of the crawler unit

Traveling apparatus

An endoscope image processing apparatus includes a region-of-interest detection apparatus configured to sequentially receive observation images obtained by performing image pickup of an object and perform processing for detecting a region of interest for each of the observation images, and a processor. The processor calculates an appearance time period as an elapsed time period from a time when the region of interest appears within the observation image when the region-of-interest detection apparatus detects the region of interest, and starts emphasis processing for emphasizing a position of the region of interest existing within the observation image at a timing at which the appearance time period reaches a predetermined time period.

Endoscope image processing apparatus and endoscope image processing method

An endoscope apparatus includes a detecting section to which an observation image of a subject is sequentially inputted, the detecting section being configured to detect a characteristic region in the observation image based on a predetermined feature value concerning the observation image, and an emphasis processing section configured to apply, when the characteristic region is continuously detected in the detecting section, emphasis processing of a position corresponding to the characteristic region to the observation image of the subject inputted after elapse of a first predetermined time period from a time when the characteristic region is detected.

Endoscope apparatus

A cable system A includes a cablefor connecting a base deviceand a travelling body, a reel devicemounted on the travelling body, a motor controllerfor controlling a motorof the reel device, and a rotary encoder(rotation sensor) for detecting rotation of a reel. The motor controllerbasically makes the motorfree, when the reelis rotating in an unreeling direction, and basically applies a rotational torque in a reeling direction to the reel, when the reelis rotating in the reeling direction. Furthermore, even if the reelis rotating in the unreeling direction, if an unreeling speed of the cableexceeds a travelling speed of the travelling body, the rotational torque in the reeling direction is applied to the reel. Slackening of the cableis thereby prevented.

Cable system

A server system includes: a reception section that receives captured image information and metadata from a terminal device connected to the server system through a network, the captured image information being information about a captured image captured using the terminal device, and the metadata being added to the captured image; an insertion image selection section that selects an insertion image based on the received metadata, the insertion image being an image differing from the acquired captured image; and an image set generation section that generates image set information in which the insertion image is inserted into the captured image information.

Server system, terminal device, information storage device, method for controlling server system, and method for controlling terminal device

A cable system has a cable connecting a base device and a travelling body, functions of the cable at least including transmission of signals, a reel device disposed on the travelling body, the reel device having a reel onto which the cable is to be wound, a motor that drives the reel and a rotation sensor that detects a rotation of the reel, a motor controller that controls the motor of the reel device; and an acceleration sensor that is disposed in the traveling body and detects an acceleration in a vertical direction, the motor controller basically opening a motor drive circuit for driving the motor or bringing a supply current to the motor to zero when it is determined that the reel is rotated in an unreeling direction for unreeling the cable based on sensed information from the rotation sensor.

An image display device includes: a display unit; an image extraction unit that extracts a main image group from an image group; an image association unit that associates sub images included in a sub image group not extracted from the image group with main images included in the main image group; and a display control unit that generates a display screen in which the main image group is arranged in a first area along a first direction and the sub images are aligned with each of the main images in a second area along a second direction, and causes the display unit to display the display screen. The display control unit changes the display screen in a mode in which the main image group is moved along the first direction and in a mode in which the main image group and the sub image group are moved along the second direction.

Image display device, image display method, and computer-readable recording medium

An image processing apparatus is configured comprising a necessary/unnecessary determination data generating unit configured to generate necessary/unnecessary determination data; an image encoding unit assigning identification information respectively to, and recording, in a recording unit, each piece of data after division of each moving image of a moving image after encoding, a necessary/unnecessary determining unit configured to determine an unnecessary moving image frame based on necessary/unnecessary determination data; and a moving image file managing unit configured to rewrite information indicating a state of data at a recording unit in the recording unit corresponding to a moving image frame determined as unnecessary moving image frame by the necessary/unnecessary determining unit into information that there is no data.

Image processing apparatus, image processing system, and image reading apparatus

An information processing device (first processing device) includes a captured image acquisition section that acquires a captured image from an imaging section (imaging device), a trimming range setting section that sets a trimming range to the captured image acquired by the captured image acquisition section, the trimming range corresponding to an image processing target area that is processed by a server system (second processing device), and a communication section that transmits image information to the server system via a network, the image information being information about an area of the captured image that has been set as the trimming range by the trimming range setting section.

Information processing device, server system, image processing system, and information storage device

A method and apparatus for tracking target objects includes a network of unidirectional sensors which correspond to nodes on the network. The sensors identify the presence of a target object, determine a first criteria for the relationship of the target object to the sensors and send a message to sensors neighboring the sensor. The message includes a unique identification of the target object and the first criteria. The sensors are ranked to determine which of the sensors should head a cluster of sensors for tracking the target object. Clusters are propagated and fragmented as the target object moves through a field of sensors.

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Hachioji, Japan

Hidekazu Iwaki