74 results about "Image based" patented technology

The specification and drawings present a new method, system, apparatus and software product for constructing by an electronic device an image panorama from a plurality of images based on their visual quality. The same portion of a panoramic image scene is typically captured on multiple neighborhood video frames from which one can choose the best visual representation to be pasted into the panorama. Constructing the image panorama from the plurality of captured images can comprise the following steps: a) evaluating image quality of K consecutive frames out of the captured plurality of images using a predetermined criterion, b) selecting one image out of the evaluated K frames with the best image quality using a predetermined rule, and c) appending the selected frame to previously selected frames for constructing the image panorama. On-line and off-line implementations are possible.

A gesture spotting detection method and apparatus employ a shoulder-line algorithm. The shoulder-line detecting method recognizes a GSD calling gesture that occurs in a shoulder-line, head or higher part in a remote distance or a short distance, although a user does not have a fixed posture. In the method, an image of people is received, and skin information of a person in the image is detected to detect a face area. Then, the cloth color information of the person is modeled from the inputted image to detect a cloth area. An external space is defined from the image based on the body space area, and an edge is extracted from the image based on the body space and the external space. Then, shoulder-line information is acquired based on an energy function obtained based on the body space, the external space, and the edge.

A registration framework is presented that registers volumetric breast images captured before surgery with intraoperative surface images. The framework may be implemented using either image-based or model-based registration techniques. The method contains the steps of: identifying an air/tissue boundary from a volumetric image created at a first time; processing the volumetric image with an image filter to emphasize the air/tissue boundary; and registering a surface optically scanned image, with the filtered volumetric image, where the surface optically scanned image is created at a second time.

The invention discloses a coal-rock identification method based on image gray level co-occurrence matrixes. The coal-rock identification method comprises the following steps of: respectively collecting color images f1 and f2 of a known coal sample and a known rock sample under the same imaging condition; respectively capturing sub-images s1 and s2 which are the same in size and free of a background; extracting gray level co-occurrence matrixes P1 and P2 of the sub-images; calculating image characteristics K1 and K2 based on the gray level co-occurrence matrixes; for an unknown coal-rock object to be identified, collecting an image fx under the same imaging condition; capturing a sub-image sx free of the background according to the same size; extracting a gray level co-occurrence matrix PXof the sx; calculating an image characteristic value Kx based on the gray level co-occurrence matrixes; and judging the coal-rock type according to a relation between Kx and K1 and K2. Because non-contact identification based on the images is utilized, the coal-rock identification method has the characteristics of easy deployment, strong adaptability, high identification rate and the like.

The present disclosure relates to a method for updating a firmware component of a measurement and control technology device. The method includes: a segment-by-segment reception of a first firmware image; an authentication of the first firmware image based upon a first encryption method; a creation of a second authentication datum for the first firmware image via an algorithm that differs from the first encryption method; a re-transmission of the data used for updating the firmware component as a second firmware image; an authentication of the second-firmware image based upon the second authentication datum; and in the case of a successful authentication of the second firmware image, enabling and execution of the firmware program code.

An image processing apparatus has a display to display color images and a storage to store color image data. A first preview controller causes the display to display a color preview image based on stored color image data. A character-area extractor extracts a character area from the stored color image data and a color-designation acceptor accepts a designated color newly set in the extracted character area. A second preview controller changes a color of the extracted character area extracted in the preview image to the accepted designated color, and causes a display of the changed preview image. A decision-instruction acceptor accepts an instruction to set the designated color. A color-change processor responds to the accepted instruction by the decision-instruction acceptor to change information representing a color of the stored color image data to allow the color of the extracted character area to be changed to the accepted designated color.

Methods and systems for presenting imagery associated with a geographic location to a user include providing at least one geographic map or panoramic imagery to a client for display in an interface configured for interactive navigation of the at least one geographic map or panoramic imagery, receiving a user selection collected by the interface indicating a location corresponding to the at least one geographic map or panoramic imagery, identifying a plurality of images associated with the received user selection, obtaining at least one user preference associated with the identified images, ranking the identified images based on at least one of the retrieved user preferences, and providing at least one ranked image for display in the interface, in accordance with the ranking.

An image search apparatus extracts a symmetric partial image based on acquired pairs of feature points, and divides the partial image at a symmetry axis of the partial image to decide two partial areas, as a first area and a second area based on the tendency of image features in the partial image. In determining the similarity between the query image and a comparison destination image, a coordinate transformation coefficient for a coordinate transformation process is set based on pairs of feature points extracted from the partial area decided as the first area of the two images, the coordinate transformation process using the coordinate transformation coefficient is applied to the pairs of feature points extracted from areas including areas other than the first area of the two images, and coordinates of the pairs of feature points after the coordinate transformation process are compared.

A method for removing truncation artifacts in magnetic resonance images based on missing data reconstruction belongs to the technical field of image processing and comprises the following steps: detecting the magnetic resonance images with the truncation artifacts to obtain low frequency K data; carrying out Fourier inversion on the low frequency K data in the frequency encoding direction to obtain a truncated spectrum G (kx, y) of one-dimensional Fourier transform in the phase encoding direction; extracting singularities and singular value in the images of each row of data of G (kx, y) and reconstructing each row of data to obtain the high frequency partial K data; and carrying out Fourier inversion on the high frequency partial K data Fy(k) to obtain the row information fy(x) of the magnetic resonance images with the artifacts removed and storing and combining fy(x) based on rows to form the magnetic resonance images g(x, y) with the artifacts removed. The method overcomes the artifact problem existing during imaging by zero padding, ensures high signal to noise ratio of the images, effectively reduces the image errors, precisely displays the original magnetic resonance images, provides high quality reliable image information for medical nuclear magnetic resonance detection and is conductive to development and popularization of medical imaging detection technology.

A control method for the digitalized precise curve grinding includes such steps as creating the man-machine interface shared by computer and CCD screen, automatic precise regulation to reciprocation of abrasive disc, acquiring and processing the image of workpiece and abrasive disc, and in-line real-time compensation to abrasion of adrasive disc.

Embodiments are directed towards a system for enabling a user to view an image on a surface. The system may include projector(s), sensor, projection surface or screen, and processor. The projectors may project light for an image onto the surface. The sensor may detect light reflected off the surface. The surface may include multiple types of surface elements, such as multiple first elements positioned as border of a display area on the surface to provide feedback regarding the surface and multiple second elements positioned within the border of the display area to reflect the image to the user. The processor may determine characteristics of the border of the display area based on light reflected to the sensor from first elements. And it may modify parameters of the image based on the characteristics of the border of the display area.

A computer system for processing synthetic aperture radar (SAR) images includes a database for storing SAR images to be processed, and a processor for processing a SAR image from the database. The processing includes determining noise in a SAR image to be processed, selecting a noise threshold for the SAR image based on the determined noise, and mathematically adjusting an anisotropic diffusion algorithm based on the selected noise threshold. The adjusted anisotropic diffusion algorithm is applied to the SAR image.

The invention discloses a method for counting targets in a remote sensing image based on an attention mechanism, which fuses the characteristics of the attention mechanism, a scale pyramid and deformable convolution on the basis of VGG16, and consists of three cascaded stages: feature extraction of a front-end network, scale fusion of a middle-end network and generation of a density map of a rear-end network. Through the technical scheme of the invention, the problems of target scale diversity, complex and disordered background interference and target direction randomness in a dense target counting task in the remote sensing image can be well solved.

An object of this invention is to realize, in a semiconductor defect review apparatus, a function of easily searching for an image similar to a reference image at high speed. To this end, an embodiment of this invention has a function of saving, as text information, pieces of information accompanying an image such as acquisition date and time, an acquisition condition, the result of analyzing a piece of information other than the image, and a user's comment, in association with the image. The embodiment is configured to narrow down similar image candidates by a keyword search using the pieces of accompanying information, calculate similarity of each image to a search reference image on the basis of the features of the image, and output search results in descending order of similarity.

The invention is a remote wireless image monitoring system based on DCT domain differential transmission, including a spot image capturing module, a wireless data transmitting module, a data central server software and a remote monitoring terminal software. The spot monitoring terminal detects the image and triggers alarm and transmits the captured image only when the image changes; DCT domain differential image transmission mode is employed during transmitting process. The remote wireless image monitoring system based on DCT domain differential transmission of the invention has advantages that the solution greatly reduces flux of network transmission, thereby remarkably reduces charge of monitored data flux, meanwhile greatly reduces system consumption; modular design and universal industrial standard are employed, which provides a compact system with very low consumption, excellent expandability and strong practicability.

The invention belongs to the technical field of eye movement instruments, and in particular relates to an eye movement instrument and an image processing method. The eye tracker proposed by the present invention includes: a head-mounted main body; a plurality of front cameras, and the plurality of front cameras are arranged on the head-mounted main body at intervals along the circumferential direction, and at least two of the plurality of front cameras can At the same time, the image information of the target scene in front of the head-mounted main body is collected; the control system arranged on the head-mounted main body is connected to the front camera, so that the control system can perform three-dimensional reconstruction of the target scene based on the image information, And/or measure the distance of at least one object in the target scene based on the image information, so as to have a wider collection range and field of view. Moreover, the eye tracker of the embodiment of the present invention has a simple structure, is convenient to use, is comfortable to wear, is safe and reliable.

In an imaging apparatus which has an imaging unit, an image processor for processing image data obtained by the imaging unit, and recording unit for recording image data output from the image processor, an electronic viewfinder screen is displayed on the basis of image data which is captured by the imaging unit and is output from the image processor, and an image capture frame is also displayed within the screen. A. conversion source color is determined on the basis of color information included in the color capture frame of an image displayed on the electronic viewfinder -screen in response to a first operation input. A conversion destination color is determined on the basis of color information included in the color capture frame of an image displayed on the electronic viewfinder screen in response to a second operation input. Color conversion parameters of the image processor are set so as to convert a color within a predetermined range including the conversion source color into a color within a predetermined range including the conversion destination color on a color space.

The present invention discloses a method for enhancing a low-illumination image based on a camera response characteristic, including: selecting an exposure model and obtaining a camera response equation model corresponding thereto; determining a parameter of the camera response equation model; estimating an exposure ratio of a multi-exposure image sequence to be generated to an original image so as to generate the multi-exposure image sequence; and performing image fusion on multi-exposure images to obtain an enhanced image with a better visual effect and less distortion. The method can solve the problem that existing low-illumination image enhancement algorithms introduce more artificial traces while enhancing images, and can obtain the enhanced image with the better visual effect and less distortion, thereby obtaining the enhanced image preserving naturalness.

A contrast calculating unit calculates a contrast of a high frequency component and a contrast of a low frequency component of a transformed radiographic image at an analysis point set by an analysis point setting unit. A ratio calculating unit calculates a ratio of the contrast of the high frequency component to the contrast of the low frequency component. A determining unit determines whether or not there is a body motion during an imaging operation to take the radiographic image based on the ratio. A display control unit displays a result of the determination on a display unit.

A 3-D reconstruction method based on Taylor exponent expression surface structured light is provided, The method mainly comprises the following steps: generating and projecting a surface structure grating based on a special exponential expression, acquiring an image, and calculating the phase information of a projector-free gamma error contained in the acquired image based on a corresponding novelphase decomposition method. Thus, through the phase information of no projector gamma error, calculating the three-dimensional measurement result, and eliminating the effect of projector gamma on themeasurement result, and improving the measurement precision.