Example implementations described herein are directed to integration of far infrared cameras in a vehicle system to detect objects based on relative temperature of objects. Such implementations can improve accuracy when paired, for example, with classification systems that classify objects based on the shape of the object, as both the shape and relative temperature can be used to ensure that the classification is accurate. Further, example implementations can synchronize far infrared cameras with other sensor systems to determine distance, energy, and absolute temperature of an object, which can also be used to enhance classification. Such classifications can then be provided to an advanced driver assistance systems (ADAS), which can control the vehicle system in accordance with the object classification.

An x-ray microscopy method that obtains a classification of different particles by distinguishing between different material phases through a combination of image processing involving morphological edge enhancement and possibly resolved absorption contrast differences between the phases along with optional wavelet filtering.

An image matching system includes a non-transitory computer-readable medium and a processor. The non-transitory computer-readable medium is configured to store information of a plurality of images. The processor is configured to identify an object area in an original image that illustrates an object. The processor is configured to normalize the object area, resulting in a normalized image. The processor is configured to calculate a shape vector and a color vector from the normalized image. The processor is configured to calculate a match score using the shape vector and the color vector. The processor is configured to determine if the non-transitory computer-readable medium stores an identical match for the original image based on the match score.

A method and apparatus for capturing digital video includes displaying a preview of a field of view of the imaging device in a user interface of the imaging device. A sequence of images is captured. A main subject and a background in the sequence of images is determined, wherein the main subject is different than the background. A sequence of modified images for use in a final video is obtained, wherein each modified image is obtained by combining two or more images of the sequence of images such that the main subject in the modified image is blur free and the background is blurred. The sequence of modified images is combined to obtain the final video, which is stored in a memory of the imaging device, and displayed in the user interface.

An image processing apparatus including a determining unit configured to determine, based on at least one of a first conversion characteristic or a second conversion characteristic, a conversion characteristic of each of a plurality of regions in a first image having a first dynamic range, and a conversion unit configured to convert an image of each of the plurality of regions into a second image having a second dynamic range less than the first dynamic range by using the conversion characteristic determined by the determining unit. In relation to input luminance and output luminance, the first conversion characteristic has a higher characteristic of maintaining tone than the second conversion characteristic, and has a lower characteristic of maintaining contrast than the second conversion characteristic.

An optical system that produces a digital image of a field of view, comprising: a) a sensor array of light sensors that produces an output signal indicating an intensity of light received by each light sensor; b) one or more optical elements that together project an image of the field of view onto the sensor array, including at least one sectioned optical element comprising a plurality of sections, at least two of the sections differing in one or both of size and shape, each section projecting onto the sensor array an image of only a portion of the field of view, the different sections projecting images of different portions of the field of view to non-overlapping regions of the sensor array.

A non-transitory computer-readable recording medium stores therein a learning program that causes a computer to execute a process including: generating a shadow image including a shadow according to a state of ultrasound reflection in an ultrasound image; generating a combined image by combining the ultrasound image and the shadow image; inputting, into a first decoder and a second decoder, an output acquired from an encoder in response to inputting the combined image into the encoder; and executing training of the encoder, the first decoder, and the second decoder, based on: reconfigured error between an output image of a coupling function and the combined image, the coupling function being configured to combine a first image output from the first decoder with a second image output from the second decoder, and an error function between an area in the first image and the shadow in the shadow image.

Flare compensation includes obtaining a dark corner intensity differences profile between a first and a second image based on a relative illumination of an area outside a first image circle of the first image and a second image circle of the second image. The dark corner intensity differences profile is obtained for a luminance (Y) component. A flare profile is obtained using an intensity differences profile and the dark corner intensity differences profile. The intensity differences profile is obtained for the Y component along a stitch line between the first image and the second image. The flare profile of the Y component is converted to an RGB flare profile. The first image is modified based on the RGB flare profile to obtain a processed first image.

An endoscope apparatus includes a processor configured to carry out a reversal process on a side image of a subject picked up with an image pickup device, the reversal process reversing an order of a plurality of pixels located in the side image and arranged from a predetermined position in a radial direction, and cause a display apparatus to display a front image and the side image of the subject picked up with the image pickup device as a display image. The processor adjusts the timing at which the front image is displayed in such a way that the front image acquired simultaneously with the side image is displayed at a timing that accords with the timing at which the side image having undergone the reversal process is displayed on the display apparatus.

There is provided with an image processing apparatus. An obtaining unit obtains a first image serving as a read image of an inspection target medium having undergone printing, and a second image serving as a read image of a reference medium representing a target print result. An inspection unit inspects a defect on the inspection target medium based on the first image and the second image by performing inspection at inspection settings different between a print region and a peripheral region of the inspection target medium.