Eizo Gmbh

Reo Aoki

Masafumi Higashi

Takashi Nakamae

Haifeng Chen

Mamoru Ogaki

Hiroki Matsuzaki

Yu Kato

Satomi Kidoguchi

Yusuke Bamba

Yuya Yoshida

Masataka Shoji

Tadayoshi Katagiri

Naoaki Hirata

Ikumi Arai

Keita Hashi

Takuya Matsuda

Noriyuki Hashimoto

Kyohei Goto

The present invention has been made in view of the foregoing, and an object thereof is to provide a method for learning a threshold that can provide a more objective threshold applied to pixels in the mammography image. The present invention provides a method for learning a threshold value applied to pixels in a mammography image comprising: an acquiring step; and a learning step, wherein in the acquiring step, the mammography image is acquired, in the learning step, a relationship between the mammography image and a mammary gland pixel estimation threshold is learned, the mammary gland pixel estimation threshold is a threshold value used to calculate a mammary gland pixel area of each pixel of a mammary gland region in the mammography image, and the mammary gland pixel area is a value indicating a degree of a mammary gland pixel-likeness of the pixel in the mammography image.

Method for learning threshold value

The present invention has been made in view of the foregoing, and an object thereof is to provide an information processing device capable of appropriately determining a necessity of the ultrasonography even when a high-density mammary gland area exists in a narrow area. The present invention provides an information processing device comprising: a mammary gland area extractor configured to extract a mammary gland area in a mammography image; a mammary gland pixel detector configured to detect a mammary gland pixel in the mammary gland area; and a mammary gland density calculator configured to calculate a mammary gland density based on a ratio of the mammary gland pixels to the mammary gland area, wherein the mammary gland area is a narrower area than an entire breast in the mammography image.

Information processing device, information processing method, and computer program

[Problem] The present invention provides a stereoscopic image display device, stereoscopic image display method, and a program capable of displaying the display target with a constant size and a constant aspect ratio even when the distance between the stereoscopic image display device and the user changes. [Solution to Problem] The present invention provides a stereoscopic image display device comprising: a display part; an acquisition part configured to acquire an observation viewing distance that is a viewing distance from the display part to a user; and an adjustment part configured to adjust a display state of a display image based on a reference viewing distance and the observation viewing distance, wherein the display part is configured to display a stereoscopic image based on the display state.

Stereoscopic image display device, stereoscopic image display method, and program

The visibility of a display device under colored ambient light is improved. There is provided an image processing system for converting a color space represented by color components of image data. The image processing system includes a color space converter configured to correct the color components of the image data by converting the color space such that, with respect to particular color components in user-perceived color gamut widened by influence of chromatic adaptation caused by ambient light, the influence is maintained and such that, with respect to particular color components in user-perceived color gamut narrowed by the influence, the influence is canceled; and a display unit configured to display, as an output image, the image data using the corrected color components.

Image processing system, image processing device, and computer program

To provide an image processing device, an image processing method, and an image processing program capable of performing image processing beneficial for producing an image having high visibility without giving a sense of incongruity to a user such as a doctor. An image processing device is provided, the image processing device being provided with a weighting determination unit and a brightness calculation unit, wherein: when a region made up of a plurality of pixels, which is at least one portion of an input image input to the image processing device, is defined as a noted region, and this input image, either originally or as a result of an operation after being input, is an image expressed in an RGB color space, that is, each pixel is made up of an R component configuring red, a G component configuring green, and a B component configuring blue, and these are collectively defined as RGB components.

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

Provided is an image processing device, image display device, and program that allow an image captured by an imaging device not having a vibration suppression function or an image whose vibration has been suppressed incompletely to be displayed on a display device with the vibration suppressed. The image processing device includes a motion estimator configured to estimate the amount of motion of an object between a first image and a second image later than the first image and a motion compensator configured to perform a conversion process on the second image so that vibration of the object between the first image and the second image is suppressed, on the basis of the amount of motion of the object. The motion estimator has a first estimation mode in which the amount of motion of the object is estimated in a predetermined search area and a second estimation mode in which the amount of motion of the object is estimated in a larger area than the search area in the first estimation mode.

Image processing device, image display device, and program

An image processing device, an image processing method, and an image processing program capable of appropriately correcting contrast even for an image in which the amplitude of the reflection rate differs for each local area of the image. An image processing device, including a signal intensity extraction unit configured to extract signal intensity of an input image; a peripheral region reference value calculator configured to calculate a peripheral region reference value based on the signal intensity of a peripheral region located around a small region of interest; and an emphasis degree determination unit configured to determine an emphasis degree of the signal intensity so as to increase the signal intensity of the small region, wherein the signal intensity is defined as a reflection rate in the input image input to the image processing device, the small region is defined as a region which is a part of the input image.

An image processing device, an image processing method, and an image processing program capable of outputting an image with appropriate sharpness for an input image that may include both a dynamic region and a static region. An image processing device includes a static and dynamic information calculator configured to calculate static and dynamic information of an input image; a blend ratio setting unit configured to determine a blend ratio by performing a predetermined operation on the static and dynamic information of the input image; and an image processing unit configured to generate an output image optimized for static and dynamic change by performing image processing on the input image on the basis of the blend ratio.

Image processing device, image processing method, and image processing program for maintaining sharpness of image

Provided are an information processing apparatus and program that are able to improve representable gradations in a pseudo manner while reducing flicker including a random number generator configured to generate a random number sequence; a comparator configured to make a comparison between a threshold and a random number value, the threshold being associated with any number of lower bits, the any number of lower bits forming input image data with any number of upper bits, the random number value forming the random number sequence.

Information processing apparatus and program

Provided is an image conversion method that allows for the representation, on a display, the light and shade of a printed image obtained by printing the image on paper. The image conversion method includes a step of acquiring an illumination-light component and a reflectance component from an input image, a step of correcting the illumination-light component in accordance with display luminance information of a print mode in which the input image is to be printed, so that light and shade of the input image displayed on a display come close to light and shade of a printed image obtained by printing the input image in the print mode, and a step of acquiring a combined image by combining the corrected illumination-light component and the reflectance component or the corrected reflectance component.

Image conversion method

Provided is an image combination method that can represent the texture of a drawing medium such as paper without causing a foreground fading problem. The image combination method includes a step of acquiring an illumination-light component and a reflectance component from an input image, a step of generating a texture-combined image by combining the reflectance component or the corrected reflectance component and a texture image representing a desired texture, and a step of acquiring a combined image by combining the illumination-light component or the corrected illumination-light component and the texture-combined image.

Combining drawing media texture and image data for display while maintaining the dynamic range of the original image

An image converting method and image converting device that are able to properly reproduce the appearance of the original image even in an environment having different brightness. The image converting method includes a JND corresponding value width acquisition step of, on the basis of input image data, acquiring a JND corresponding value width corresponding to a reflectance component of the input image data, a luminance width acquisition step of acquiring a luminance width corresponding to the JND corresponding value width or a value obtained by converting the JND corresponding value width in accordance with a predetermined rule using, as a reference, a second reference luminance different from a first reference luminance.

Image converting method and device

Technology is known for correcting the gradation characteristics of an input image signal in accordance with the characteristics of a display device, but a correction that is suitable for the usage of the display device is desired. Provided is an image processing apparatus including a first gradation converting section that converts a gradation of an image signal input thereto; a sharpening process section that performs a sharpening process on the image signal after the gradation has been converted by the first gradation converting section; a second gradation converting section that converts the gradation of the image signal after the sharpening process has been performed; and a display control section that displays an image indicated by the image signal after the gradation has been converted by the second gradation converting section, in a display device.

Image processing apparatus, display apparatus, and computer-readable storage medium

A technique to remove fog from an image more appropriately has been called for. An image processing system is provided, including: a luminance evaluation value deriving unit that derives a luminance evaluation value of an at least partial region of an image; a saturation evaluation value deriving unit that derives a saturation evaluation value of the at least partial region of the image; a contrast evaluation value deriving unit that derives a contrast evaluation value of the at least partial region of the image; and a haze depth estimating unit that derives a haze depth estimate value of the image based on the luminance evaluation value, the saturation evaluation value, and the contrast evaluation value.

Image processing system and computer-readable recording medium

A technique to remove fog from an image more appropriately has been called for. An image processing system is provided, including: a haze depth estimating unit that derives a haze depth estimate value of one frame among a plurality of frames included in a moving image; a parameter adjusting unit that adjusts a parameter to be used in a haze removal process of the one frame based on a haze depth estimate value of the one frame, and a relationship between the one frame and a past frame of the one frame; and a haze removing unit that executes a haze removal process on the one frame based on the parameter adjusted by the parameter adjusting unit.

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Ishikawa, Japan

Reo Aoki