1011 results about "Image transformation" patented technology

Methods are disclosed for assessing the condition of a cartilage in a joint and assessing cartilage loss, particularly in a human knee. The methods include converting an image such as an MRI to a three dimensional map of the cartilage. The cartilage map can be correlated to a movement pattern of the joint to assess the affect of movement on cartilage wear. Changes in the thickness of cartilage over time can be determined so that therapies can be provided. The amount of cartilage tissue that has been lost, for example as a result of arthritis, can be estimated.

A combination mobile terminal and camera with multiple light apertures in the housing. One aperture is disposed on a front side of the housing while another aperture is disposed on a rear side of the housing. The device has an image sensor disposed within the housing for converting images formed by light directed onto the image sensor into electrical signals. The device also has a movable optical system for selectively directing light passing through one of the light apertures onto the image sensor. The device also includes an image processor coupled to an output of the image sensor for processing the electrical signals from the image sensor to produce image signals. The device also has a position detector to detect the position of the movable optics and for directing the image processor to invert the images as needed.

Systems and methods for extended color processing on Pelican array cameras in accordance with embodiments of the invention are disclosed. In one embodiment, a method of generating a high resolution image includes obtaining input images, where a first set of images includes information in a first band of visible wavelengths and a second set of images includes information in a second band of visible wavelengths and non-visible wavelengths, determining an initial estimate by combining the first set of images into a first fused image, combining the second set of images into a second fused image, spatially registering the fused images, denoising the fused images using bilateral filters, normalizing the second fused image in the photometric reference space of the first fused image, combining the fused images, determining a high resolution image that when mapped through a forward imaging transformation matches the input images within at least one predetermined criterion.

The invention discloses a real-time panoramic image stitching method of aerial videos shot by an unmanned plane. The method comprises the steps of: utilizing a video acquisition card to acquire images which are transmitted to a base station in real time by an unmanned plane through microwave channels, carrying out key frame selection on an image sequence, and carrying out image enhancement on key frames; in the image splicing process, firstly carrying out characteristic detection and interframe matching on image frames by adopting an SURF (speeded up robust features) detection method with good robustness; then reducing the series-multiplication accumulative errors of images in a frame-to-mosaic image transformation mode, determining images which are not adjacent in time sequence but adjacent in space on a flight path according to the GPS (global positioning system) position information of the unmanned plane, optimizing the frame-to-mosaic transformation relation, determining image overlapping areas, thereby realizing image fusion and the panoramic image construction and realizing real-time effect of carrying out flying and stitching simultaneously; and in image transformation, based on adjacent frame information in a vision field and adjacent frame information in airspace, optimizing image transformation to obtain the accurate panoramic images. The stitching method has good real-time performance, is fast and accurate and meets the requirements of application occasions in multiple fields.

Improved fluoresced imaging (FI) and other sensor data imaging processes, devices, and systems are provided to enhance display of different secondary types of images and reflected light images together. Reflected light images are converted to a larger color space in a manner that preserves the color information of the reflected light image. FI or secondary images are transformed to a color range within the larger color space, but outside the color area of the reflected light images, allowing the FI or secondary images to be combined with them in a manner with improved distinguishability of color. Hardware designs are provide to enable real-time processing of image streams from medical scopes. The combined images are encoded for an electronic display capable of displaying the larger color space.

A hand-held imaging device includes a plurality of linear imaging arrays, image formation optics, at least one illumination module and image processing circuitry that are embodied within a hand-holdable housing that is moved by hand movement past a target object to capture images of the target object. The plurality of linear imaging arrays and image formation optics provide field of views corresponding to the plurality of linear image arrays. The at least one illumination module produces planar light illumination that substantially overlaps the field of views corresponding to the plurality of linear imaging arrays. The image processing circuitry performs image-based velocity estimation operations, which analyzes pixel data values of a plurality of composite 2D images each derived from sequential image capture operations of a corresponding one linear imaging array to derive velocity data that represents an estimated velocity of the imaging device with respect to target object. The image processing circuitry produces a first image of portions of the target object, the first image having substantially constant aspect ratio, utilizing image transformation operations (or camera control operations) that are based upon the velocity data, to thereby compensate for aspect ratio distortions that would otherwise result from variations in velocity of the imaging device with respect to the target object(s). In addition, the image processing circuitry preferably carries out image-based horizontal jitter estimation and compensation operations, which estimate the horizontal jitter of the imaging device relative to the target object over the image capture operations from which the first image is derived, and transform the first image utilizing shift operations that are based upon such estimated horizontal jitter to produce a second image of portions of the target object which compensates for horizontal jitter distortion that would otherwise result therefrom. The first image, second image (or image derived from sharpening the first or second images) is preferably subject to image-based bar code detection operations and/or OCR operations carried out by the image processing circuitry, or output for display to a display device.

A rapid vehicle license plate locating method is provided, which uses top hat transformation and character texture characteristic, and is divided into background subtraction, vehicle license plate region crude location and precision location three steps, specifically comprises: (1) background subtraction, converting obtained color vehicle license plate image into gray image, using top hat transformation to inhibit large-size background object, highlighting vehicle license plate region; (2) crude location phase, calculating image edge map and proceeding binaryzation, morphological dilation and connected components analysis and other operation, obtaining reasonable size vehicle license plate candidate region set; (3) precision location phase, extracting candidate region texture characteristic, using support vector machine classifier to classify candidate vehicle license plate region, thus accurately locating vehicle license plate region. The invention uses the top hat transformation to filter vehicle license plate image, reduces large-size background interference, so that greatly enhances environment adaptation; meanwhile, from crude to fine location method is more efficient, and reduces greatly computing complexity.

A method of creating a depth map including the steps of assigning a depth to at least one pixel or portion of an image, determining relative location and image characteristics for each at least one pixel or portion of the image, utilising the depth(s), image characteristics and respective location to determine an algorithm to ascertain depth characteristics as a function relative location and image characteristics, utilising said algorithm to calculate a depth characteristic for each pixel or portion of the image, wherein the depth characteristics form a depth map for the image. In a second phase of processing the said depth maps form key frames for the generation of depth maps for non-key frames using relative location, image characteristics and distance to key frame(s).

A vehicle surrounding monitoring device include at least one camera 2 installed in an own vehicle to image a video around the own vehicle, an obstacle sensor 3 for detecting an obstacle within an imaging range of the camera 2, a pixel synthesis unit 13 for receiving a camera image imaged by the camera 2 and converting the camera image into a view point converted image seen from a virtual view point above the own vehicle, and a display device 4 for displaying the view point conversion image converted by the pixel synthesis unit 13. Simultaneously when a warning is given by a warning sound upon entry of an obstacle within an obstacle detection range of the obstacle sensor 3, an image of the obstacle detection range is synthesized with an obstacle image imaged by the camera 2 and included in the view point converted image to be in contact therewith.

A vehicle surroundings monitoring apparatus has: a point-of-view converter that converts an image shot with a camera installed on a vehicle into a bird's-eye-view image through point-of-view conversion; a position adjuster that performs position adjustment between two bird's-eye-view images produced from two images shot at different time points, the position adjuster performing the position adjustment based on the two bird's-eye-view images; and a three-dimensional object detector that detects a three-dimensional object around the vehicle based on differences between the two bird's-eye-view images having undergone the position adjustment.

The invention relates to a color image three-dimensional reconstruction method based on three-dimensional matching, comprising the following steps of: (1) simultaneously and respectively taking an image from proper angles by using two color cameras; (2) respectively calibrating the internal parameter matrixes and the external parameter matrixes of the two cameras; (3) carrying out polar line correction and image transformation according to calibrated data; (4) working out matching cost for each pixel point in the two corrected images by applying a self-adaption weight window algorithm and acquiring an initial parallax image; (5) marking the reliability coefficient of the pixel initial matching result by adopting matching cost reliability detection and left and right consistency verification; (6) carrying out color segmentation on the images through a Mean-Shift algorithm; (7) carrying out global optimization by a selective confidence propagation algorithm on the basis of color segmentation and pixel reliability classification results to obtain a final parallax image; and (8) working out the three-dimensional coordinates of actual object points on the images according to the calibrated data and the matching relation, thereby reconstructing the three-dimensional point cloud of an object.

A method and apparatus is provided for analyzing and processing images by identification of characteristic lines and corresponding parameters. More particularly, the method and apparatus transforms an image into mathematical models derived from the characteristic lines and parameters, based on repetitive image patterns. The parameters include central lines, signatures, cross-sections, characteristic strips, margins, end areas, fitting transformations and fitting sequences. Each of the parameters associated with the identified characteristic lines are representable by mathematical models, which accurately approximate the geometric and brightness (or color) attributes of the respective characteristic lines.

A control system of a vehicle according to an exemplary embodiment of the present invention may include an input portion for inputting an order for generating an virtual avatar of a driver, an image detection portion that detects an outside image of the driver according to the order that is input by the input portion, an avatar generating portion that transforms the image of the real driver into the virtual avatar, and an integrated control portion that controls a driver seat, a steering device, a side view mirror, or a rear view mirror according to the shape of the virtual avatar.

There is described an image processing method and an image converting apparatus for performing the image processing for recording the medical image information. The apparatus includes an image converting section to convert the image in respect to the original image signals; an image feature extracting section to extract image features for every pixel included in the plurality of pixels in respect to the original image signals; a sharpness information obtaining section to obtain sharpness information from the image converting section; a sharpness calculating section to calculate correlation between the image features and the sharpness information; and a frequency processing section to compensate for a sharpness level of the image, based on the correlation calculated by the sharpness calculating section, so as to reduce a variation of the sharpness level before and after the image converting section converts the image in respect to the original image signals.