An electronic endoscope system includes a plotting unit which plots pixel correspondence points, which correspond to pixels that constitute a color image that has multiple color components, on a first color plane according to color components of the pixel correspondence points, the first color plane intersecting the origin of a predetermined color space; an axis setting unit which sets a predetermined reference axis in the first color plane; a transform unit which defines a second color plane that includes the reference axis, and subjecting the pixel correspondence points on the first color plane to projective transformation onto the second color plane; and an evaluation value calculating unit which calculates a prescribed evaluation value with respect to the color image based on the pixel correspondence points subjected to projective transformation onto the second color plane.

Apparatuses, systems, and techniques are presented to reconstruct one or more images. In at least one embodiment, one or more anisotropic filters are used to determine one or more pixel blending weights.

Apparatuses, systems, and techniques are presented to reconstruct one or more images. In at least one embodiment, one or more anisotropic filters are used to determine one or more pixel blending weights.

A method for tracking and identifying vehicles is disclosed that includes detecting a vehicle in a current video frame of a video stream, establishing a bounding box around the detected vehicle, calculating a measurement vector of detected vehicle including horizontal and vertical locations of the centre of the bounding box at the current time instance, calculating a plurality of predicted measurement vectors for corresponding plurality of previously detected vehicles, based on current measurement vector and previous state vectors of previously detected vehicles, calculating a plurality of first cost values for previously detected vehicles based on a distance between the current measurement vector of the detected vehicle, and predicted measurement vectors, and identifying and storing the detected vehicle as a previously detected first vehicle, when the first cost value of the previously detected first vehicle is less than a first cost threshold.

A method for tracking and identifying vehicles is disclosed that includes detecting a vehicle in a current video frame of a video stream, establishing a bounding box around the detected vehicle, calculating a measurement vector of detected vehicle including horizontal and vertical locations of the centre of the bounding box at the current time instance, calculating a plurality of predicted measurement vectors for corresponding plurality of previously detected vehicles, based on current measurement vector and previous state vectors of previously detected vehicles, calculating a plurality of first cost values for previously detected vehicles based on a distance between the current measurement vector of the detected vehicle, and predicted measurement vectors, and identifying and storing the detected vehicle as a previously detected first vehicle, when the first cost value of the previously detected first vehicle is less than a first cost threshold.

An imaging system for obtaining images having enhanced features is described. The imaging system includes an optical system that receives and direct light from a field of view to two or more image planes. The image planes are optically coupled and configured to detect at least a portion of the received light and generate image data corresponding to the field of view. The system can include a processor that receives the image data generated by each plane and combines the data to form a combined image. The combined image can have a higher resolution than any image that can be obtained from the individual image sensors and the image plane may be curved to reduce the cost of optics. The processor can detect objects (e.g., moving objects) contained in images obtained from one image plane and configure the other image planes to obtain more detailed images of the detected objects.

An imaging system for obtaining images having enhanced features is described. The imaging system includes an optical system that receives and direct light from a field of view to two or more image planes. The image planes are optically coupled and configured to detect at least a portion of the received light and generate image data corresponding to the field of view. The system can include a processor that receives the image data generated by each plane and combines the data to form a combined image. The combined image can have a higher resolution than any image that can be obtained from the individual image sensors and the image plane may be curved to reduce the cost of optics. The processor can detect objects (e.g., moving objects) contained in images obtained from one image plane and configure the other image planes to obtain more detailed images of the detected objects.

Described herein is a system and method of controlling real-time image-guided adaptive radiation treatment of at least a portion of a region of a patient. The computer-implemented method comprises obtaining a plurality of real-time image data corresponding to 2-dimensional (2D) magnetic resonance imaging (MRI) images including at least a portion of the region, performing 2D motion field estimation on the plurality of image data, approximating a 3-dimensional (3D) motion field estimation, including applying a conversion model to the 2D motion field estimation, determining at least one real-time change of at least a portion of the region based on the approximated 3D motion field estimation, and controlling the treatment of at least a portion of the region using the determined at least one change.

Described herein is a system and method of controlling real-time image-guided adaptive radiation treatment of at least a portion of a region of a patient. The computer-implemented method comprises obtaining a plurality of real-time image data corresponding to 2-dimensional (2D) magnetic resonance imaging (MRI) images including at least a portion of the region, performing 2D motion field estimation on the plurality of image data, approximating a 3-dimensional (3D) motion field estimation, including applying a conversion model to the 2D motion field estimation, determining at least one real-time change of at least a portion of the region based on the approximated 3D motion field estimation, and controlling the treatment of at least a portion of the region using the determined at least one change.

An apparatus, method and computer program wherein the apparatus comprises: processing circuitry; and memory circuitry including computer program code, the memory circuitry and the computer program code configured to, with the processing circuitry, enable the apparatus to; obtain images from an image capturing device; obtain measurements of movements of the image capturing device made while the images were captured; and use the obtained measurements of movements to calculate a sickness rating.