Panasonic Corporation

Konica Minolta, Inc.

Panasonic Intellectual Property Corporation of America

Jun Ohmiya

Hitoshi Yamada

Tadamasa Toma

Keiji Icho

Bumpei Toji

Masayuki Kimura

Takashi Kawamura

Yoshiyuki Mochizuki

Masayuki Misaki

Ryouichi Kawanishi

Akio Nishimura

Kuniaki Isogai

Tadashi Kobayashi

Makiko Urabe

Hiromichi Nishiyama

Bunpei Toji

Keisuke Hayata

An ultrasound image processing apparatus includes a structural object extracting unit, an abnormal candidate spot detecting unit and a cine information generating unit. The structural object extracting unit extracts a structural object in an ultrasound image of each frame from ultrasound image data of a plurality of continuous frames. The abnormal candidate spot detecting unit detects an abnormal candidate spot in the extracted structural object. The cine information generating unit generates cine information where the detected abnormal candidate spot is made to be associated with a frame in which the abnormal candidate spot is detected.

Ultrasound image processing apparatus and medium

An ultrasonic image generating device which generates a cross-sectional image of a specific cross-section of a subject from ultrasonic images obtained by scanning the subject from a plurality of directions using an ultrasonic probe, includes: a cross-section position identifying unit which obtains cross-section information indicating a position and an orientation of the specific cross-section; a positional information obtaining unit which obtains positional information including a position and an orientation of each of the ultrasonic images of the subject; a reference image selecting unit which selects at least one of the ultrasonic images as a reference image, the at least one of the ultrasonic images having a distance from the specific cross-section that is less than a first threshold and an orientation difference from the specific cross-section that is less than a second threshold; and a cross-sectional image generating unit which generates the cross-sectional image using the reference image.

Ultrasonic image generating device and image generating method

An ultrasound diagnostic apparatus which detects a target blood vessel of a subject based on reflected ultrasound waves obtained, using an ultrasound probe, from the subject, the ultrasound diagnostic apparatus including: a B-mode image generation unit which generates a tomographic image of the subject, based on the reflected ultrasound waves; a blood flow image generation unit which generates blood flow information indicating a blood flow region of the subject in the tomographic image, based on the reflected ultrasound waves; and a blood flow region determination unit which determines whether or not the blood flow region corresponds to the target blood vessel, by analyzing the blood flow information generated by the blood flow image generation unit.

Ultrasound diagnostic apparatus and method for identifying blood vessel

An ultrasound diagnostic device includes: a contour extraction unit extracting a first contour image from ultrasound images obtained from spatially-successive examination positions and each including an image of an organ, a contour image indicating a contour of the organ and extracted from the organ image; a specification unit receiving, from a user, specification information specifying a manual correction target ultrasound image and correction information indicating details of a manual correction performed with respect to a first contour image extracted from the manual correction target ultrasound image; and a contour correction unit correcting the first contour image extracted from the manual correction target ultrasound image according to the correction information. The contour extraction unit further extracts a second contour image from a target ultrasound image by using information indicating the corrected first contour image. The target ultrasound image differs from the manual correction target image.

Ultrasound diagnostic device for extracting organ contour in target ultrasound image based on manually corrected contour image in manual correction target ultrasound image, and method for same

Both tilt information included in an image and positional information are acquired in order to calculate a relative tilt angle between at least two images. Whether the tilt information can be used to estimate the tilt angle (whether the tilt information is fake information) is determined from a distribution characteristic in the image of the acquired positional information. The tilt angle is estimated from the tilt information determined to be able to be used. A tilt included in the acquired image is corrected using the estimation result, and the image having the correct orientation can be produced.

Image processing apparatus and image processing method for image correction

An image processing device of the present invention includes: a motion amount estimating unit which estimates, using feature points extracted from each of a first picture and a second picture, a motion amount indicating an amount of displacement of the second picture with respect to the first picture, the second picture being captured temporally after the first picture; a determining unit which determines, using the feature points, whether or not correction is made using the motion amount estimated by the motion amount estimating unit; and a picture correcting unit which corrects the displacement of the second picture with respect to the first picture using the motion amount so as to correct the displacement between the pictures, in the case where the determining unit determines that the correction is made using the motion amount.

Image processing device, image processing method, and program for image processing for correcting displacement between pictures obtained by temporally-continuous capturing

An image processing device including: a motion amount estimating unit estimating a first motion amount indicating a displacement amount of a second picture with respect to a first picture; an area setting unit setting an area to be used for post-processing for each of the first picture and a first corrected picture, using feature points extracted from the first picture and the second picture; a post-processing unit generating a first cutout picture from the first picture and a second cutout picture from the first corrected picture and estimating a second motion amount indicating a displacement amount of the second cutout picture with respect to the first cutout picture; and a motion amount obtaining unit obtaining a motion amount indicating a displacement amount between the first picture and the second picture, from the estimated first motion amount and the estimated second motion amount.

Image processing device, image processing method, and program for image processing

A picture processing device () includes: a mask generation unit () which generates a masking picture (I) based on an edge in a first picture (); a feature point masking unit () which masks extracted feature points with the generated masking picture (I); a rotation matrix calculation unit () which calculates a positional change between the first picture and a second picture () using a feature point selected from the feature points as a result of the masking; and a picture correction unit () which uses the calculated change.

Picture processing device, picture processing method, integrated circuit, and program

A decoding device improves a cache hit rate in a decoding process of compressed encoded image data. The decoding device, before the decoding process, generates a sort table for each reference picture for a plurality of MPEG data streams included in a GOP and having a frame type of P- or B-picture. The decoding device, by using the generated sort table, selects a group of pictures composed of a plurality of decoding target macro blocks that refer to the same reference macro block. The decoding device obtains, from the reference picture, four macro blocks including the same reference macro block referred to by the selected picture group, and stores the four macro blocks into the cache memory. The decoding device sequentially decodes each decoding target macro block included in the selected picture group, by using the four macro blocks stored in the cache memory.

Decoding device, decoding method, decoding program, and integrated circuit

The picture processing device of the present invention includes: a rotational motion distance calculating unit which calculates a rotational motion distance of a second picture with respect to a first picture; a cutout picture generating unit which (i) generates a first cutout picture from the first picture, and (ii) and generates a second cutout picture from a first corrected picture, the first corrected picture being generated from the second picture whose rotational displacement amount, in a combination of directions in three axes, is corrected; a parallel motion amount calculating unit which calculates a parallel motion amount of a second cutout picture with respect to the first cutout picture; and a motion amount determining unit which determines a motion amount of the second picture with respect to the first picture.

Picture processing device, picture processing method, program for picture processing, and imaging device

To provide an image processing device that calculates a parameter used for correcting large video jitter with high accuracy even when the accuracy of a sensor for measuring a movement of a photographing device is low. The image processing device includes: a constraint condition generating unit () that generates a constraint condition using sensor information such that a parameter value falls within a range; and a parameter calculating unit () that calculates the parameter according to the constraint condition. The constraint condition generating unit () has: a feature vector generating unit () that generates a feature vector showing features of the sensor information; and a motion classifying unit (such as) that identifies a movement of the photographing device according to the feature vector generated by the feature vector generating unit (), on the basis of an association between the feature vector and the movement of the photographing device, the association being obtained as a result of previously-executed machine learning of the feature vector and an actual movement of the photographing device. The constraint condition generating unit () determines the range corresponding to the information of the movement of the photographing device, the movement being identified by the motion classifying unit (such as).

Image processing device, photographing device, reproducing device, integrated circuit, and image processing method

A data processing apparatus acquires images captured by cameras. A data processing apparatuscalculates relative positional relationship between the camera that captured an image and a camera that is captured in the captured image, by image recognition of the captured image. The data processing apparatusaggregates positional relationships calculated for the captured images, respectively, and by having one camera as reference, calculates the relative positions and directions of other cameras. Based on the calculated results, a user interface for supporting selection of the captured image by a user is generated.

Data processing apparatus and method, and recording medium

An image correction device trims an image, which has been captured by a camera provided in a moving object, in accordance with a predetermined image frame to generate a corrected image that is enclosed by the predetermined image frame, and then outputs the corrected image as an output image. Even when there is an error between an actual camera position in which the camera is actually positioned and a scheduled camera position in which the camera is scheduled to be positioned, the image correction device (i) decomposes the error into a first component that extends along an imaging direction of the camera and a second component that extends along a plane orthogonal to the imaging direction, (ii) shifts the image frame in accordance with the first component, and (iii) enlarges or shrinks a size of the image frame in accordance with the second component.

Growing community of inventors

Kyoto, Japan

Jun Ohmiya