Provided are a device and a method for executing gain calculation processing and gain adjustment processing for matching an output of an imaging element of a multispectral camera with an output of a reference machine. As the gain calculation processing for matching an output of an adjustment camera with an output of a reference camera at the time of manufacturing the multispectral camera, a band-corresponding gain is calculated that matches the output of the adjustment camera with the output of the reference camera, on the basis of: a reference machine band-corresponding pixel value that is a pixel value within a specific band acquired on the basis of an output value of an imaging element of the reference camera; and an adjustment machine band-corresponding pixel value that is a pixel value within a specific band acquired on the basis of an output value of an imaging element of the adjustment camera. Furthermore, at the time of using the camera, output value adjustment processing that matches the output of the imaging element with the output of the reference machine is executed, by acquiring the band-corresponding gain from a memory, and multiplying the output of the imaging element by the acquired band-corresponding gain.

Provided are a device and a method for executing gain calculation processing and gain adjustment processing for matching an output of an imaging element of a multispectral camera with an output of a reference machine. As the gain calculation processing for matching an output of an adjustment camera with an output of a reference camera at the time of manufacturing the multispectral camera, a band-corresponding gain is calculated that matches the output of the adjustment camera with the output of the reference camera, on the basis of: a reference machine band-corresponding pixel value that is a pixel value within a specific band acquired on the basis of an output value of an imaging element of the reference camera; and an adjustment machine band-corresponding pixel value that is a pixel value within a specific band acquired on the basis of an output value of an imaging element of the adjustment camera. Furthermore, at the time of using the camera, output value adjustment processing that matches the output of the imaging element with the output of the reference machine is executed, by acquiring the band-corresponding gain from a memory, and multiplying the output of the imaging element by the acquired band-corresponding gain.

A method for conducting a urinalysis is provided. The method includes receiving an image of a urine strip having a plurality of reacting areas configured to react with a predetermined urine parameter, and a plurality of reference regions each having a designated color; extracting, from each reference region, reference values representative of a detected color in the reference region; extracting, from each reacting area, color values representative of a detected color of the reacting area; conducting a regression analysis by determining least-squares of the reference values in accordance with prestored set of values corresponding to expected colors of each reference region; determining a color correction model by calculating root polynomial expansion of the least-squares; applying the color correction model on the color values by calculating root polynomial expansion of the color values to obtain normalized values; and determine level of the urine parameters in accordance with normalized values.

A method for conducting a urinalysis is provided. The method includes receiving an image of a urine strip having a plurality of reacting areas configured to react with a predetermined urine parameter, and a plurality of reference regions each having a designated color; extracting, from each reference region, reference values representative of a detected color in the reference region; extracting, from each reacting area, color values representative of a detected color of the reacting area; conducting a regression analysis by determining least-squares of the reference values in accordance with prestored set of values corresponding to expected colors of each reference region; determining a color correction model by calculating root polynomial expansion of the least-squares; applying the color correction model on the color values by calculating root polynomial expansion of the color values to obtain normalized values; and determine level of the urine parameters in accordance with normalized values.

An imaging apparatus includes: an image sensor; a signal processing unit repeatedly performing processing different from each other in a given number of sequential frames to imaging signals obtained by the image sensor to thereby obtain image data of respective frame; and an image data output unit sequentially outputting the image data of respective frames.

An imaging apparatus includes: an image sensor; a signal processing unit repeatedly performing processing different from each other in a given number of sequential frames to imaging signals obtained by the image sensor to thereby obtain image data of respective frame; and an image data output unit sequentially outputting the image data of respective frames.

Devices, systems, and methods for enhancing color consistency in images are disclosed. A method may include activating, by a device, a camera to capture first image data; while the camera is capturing the first image data, activating of a first light source; receiving the first image data, the first image data having pixels having first color values; identifying first light generated by the first light source while the camera is capturing the first image data; identifying, based on the first image data, second light generated by a second light source; generating, based on the first light, the second light, and a distance between the camera and the vehicle light, second color values for the pixels of the first image data; generating second image data based on the second color values; and presenting the second image data.

Devices, systems, and methods for enhancing color consistency in images are disclosed. A method may include activating, by a device, a camera to capture first image data; while the camera is capturing the first image data, activating of a first light source; receiving the first image data, the first image data having pixels having first color values; identifying first light generated by the first light source while the camera is capturing the first image data; identifying, based on the first image data, second light generated by a second light source; generating, based on the first light, the second light, and a distance between the camera and the vehicle light, second color values for the pixels of the first image data; generating second image data based on the second color values; and presenting the second image data.

The present disclosure relates to a tuning method and apparatus for a color gamut mapping device, in which a tuning time is shortened by automatically setting and changing parameters of a register when tuning the color gamut mapping device. A tuning method of a color gamut mapping device according to an aspect includes an initial setting operation of setting, by a test device, initial parameters in a register of a color gamut mapping device, a measuring operation of measuring, by a measuring device, chromaticity for each of a plurality of color images which are supplied from the test device and displayed on a panel of a display device through the color gamut mapping device, an automatic tuning operation of changing, by the test device, saturation parameters and hue parameters of a plurality of hue axes of the color gamut mapping device by using a result measured from the measuring device.

A system, method, and computer program product for generating a digital image is disclosed. In use, a first image and a second image are received from a first image sensor, where the first image sensor detects wavelengths of a visible spectrum. A third image and a fourth image are received from a second image sensor, where the second image sensor detects wavelengths of a non-visible spectrum. Using an image processing subsystem, a resulting image is generated by combining one of the first image or the second image, with one of the third image or the fourth image.