An information processing device is a device used in a mounting device that collects a component and arranges the component on a substrate. In this information processing device, a control section acquires a captured image including a component, sets multiple detection lines for detecting a brightness difference of the component with respect to the acquired captured image in the component, and obtains a reference position of an outer edge portion from the multiple detection lines. Next, the control section uses a predetermined weight coefficient of which weight tends to decrease as a distance from the reference position increases to obtain a candidate value obtained by adding the weight coefficient to one or more outer edge portion candidates existing on the detection line. Subsequently, the control section selects a position of the outer edge portion existing on the detection line based on the obtained candidate value.

An information processing device is a device used in a mounting device that collects a component and arranges the component on a substrate. In this information processing device, a control section acquires a captured image including a component, sets multiple detection lines for detecting a brightness difference of the component with respect to the acquired captured image in the component, and obtains a reference position of an outer edge portion from the multiple detection lines. Next, the control section uses a predetermined weight coefficient of which weight tends to decrease as a distance from the reference position increases to obtain a candidate value obtained by adding the weight coefficient to one or more outer edge portion candidates existing on the detection line. Subsequently, the control section selects a position of the outer edge portion existing on the detection line based on the obtained candidate value.

Methods and systems for generating dynamic picture metadata are presented. Given an input picture generated on a mastering display, characteristics of a target display which is different than the mastering display, and an initial set of dynamic metadata for the input picture, an iterative algorithm: maps the input image to a mapped image for the target display according to a display management process and the image metadata, compares the input image to the mapped image according to a visual appearance-matching metric, and updates the image metadata using an optimization technique until a visibility difference value between the input image and the mapped image according to the visual appearance-matching metric is below a threshold.

Methods and systems for generating dynamic picture metadata are presented. Given an input picture generated on a mastering display, characteristics of a target display which is different than the mastering display, and an initial set of dynamic metadata for the input picture, an iterative algorithm: maps the input image to a mapped image for the target display according to a display management process and the image metadata, compares the input image to the mapped image according to a visual appearance-matching metric, and updates the image metadata using an optimization technique until a visibility difference value between the input image and the mapped image according to the visual appearance-matching metric is below a threshold.

An object of the invention is to provide an image display system and the like useful for a remote diagnosis and treatment using color information such as a skin color and a tongue color of a patient. There is provided an image display system including: a color chart including a plurality of patches that include at least three patches selected from a group consisting of first to seventh patches having specific colors; an imaging device configured to simultaneously image the color chart and a person to be imaged and acquire image data; and a display device configured to receive the image data and display the image data as an image on a display unit.

An object of the invention is to provide an image display system and the like useful for a remote diagnosis and treatment using color information such as a skin color and a tongue color of a patient. There is provided an image display system including: a color chart including a plurality of patches that include at least three patches selected from a group consisting of first to seventh patches having specific colors; an imaging device configured to simultaneously image the color chart and a person to be imaged and acquire image data; and a display device configured to receive the image data and display the image data as an image on a display unit.

A method for automatically identifying global solar photovoltaic (PV) panels based on a cloud platform by using remote sensing. Optical images in a study area for a whole specific year are collected based on the cloud platform, and preprocessing is performed to obtain a surface reflectance image. Seven time-series images are derived and constructed based on spectral features of a solar PV panel: a solar PV panel index image, a water index image, a vegetation index image, a difference image between a first shortwave infrared band and a second shortwave infrared band, a difference image between the first shortwave infrared band and a near-infrared band, a blue band image, and a first shortwave infrared band image. Data in the seven time-series images are synthesized and reconstructed to obtain input data required by a model. A remote sensing theoretical model for automatically identifying a solar PV panel is constructed.

A method for automatically identifying global solar photovoltaic (PV) panels based on a cloud platform by using remote sensing. Optical images in a study area for a whole specific year are collected based on the cloud platform, and preprocessing is performed to obtain a surface reflectance image. Seven time-series images are derived and constructed based on spectral features of a solar PV panel: a solar PV panel index image, a water index image, a vegetation index image, a difference image between a first shortwave infrared band and a second shortwave infrared band, a difference image between the first shortwave infrared band and a near-infrared band, a blue band image, and a first shortwave infrared band image. Data in the seven time-series images are synthesized and reconstructed to obtain input data required by a model. A remote sensing theoretical model for automatically identifying a solar PV panel is constructed.

The technology of this application relates to an artificial intelligence terminal-based image detection method and apparatus, and an electronic device. The method includes obtaining a to-be-detected image, determining a light source region of the to-be-detected image and a foreground region of the to-be-detected image, and determining a blurring degree of the to-be-detected image based on the light source region and the foreground region. Impact of a light source on clarity of the to-be-detected image is determined by performing light source region detection and foreground region detection on the to-be-detected image, to effectively detect whether an image shot in a backlight condition is blurred.

The technology of this application relates to an artificial intelligence terminal-based image detection method and apparatus, and an electronic device. The method includes obtaining a to-be-detected image, determining a light source region of the to-be-detected image and a foreground region of the to-be-detected image, and determining a blurring degree of the to-be-detected image based on the light source region and the foreground region. Impact of a light source on clarity of the to-be-detected image is determined by performing light source region detection and foreground region detection on the to-be-detected image, to effectively detect whether an image shot in a backlight condition is blurred.