166 results about "Imaging processing" patented technology

Disclosed are methods for reconstructing a three-dimensional image of an object's volume of interest using computed tomography that employs conical-beam, intensity-modulated projections of this object. In one embodiment, a plurality of collimating devices serves to modulate the aperture of the radiation source thereby acting to modulate the intensity of the source upon the object. Also provided are image processing devices, examination apparatus, as well as a computer-readable medium and a program element adapted and configured to perform aspects of the methods disclosed herein.

The invention relates to an uncalibration machine vision-based intelligent navigation control system and an uncalibration machine vision-based intelligent navigation control method, and belongs to the technical field of automation and detection. In order to overcome the disadvantage that whether a technical effect is good or bad depends on uncalibration parameters in a conventional scheme, in vision system-based mobile robot real-time obstacle avoidance and a navigation control method in the technical scheme of the invention, an image is automatically acquired and analyzed for the purpose of realizing the control of a mobile robot platform; the image is processed rapidly from image feedback information obtained directly by utilizing the principal of machine vision; and feedback information is given in a time as short as possible for participating in the generation of a control decision so as to form the position closed-loop control of an end effector of the mobile robot. The scheme improves the adaptability and the work efficiency of a robot, effectively maintains the speed and the precision in an image processing process, enhances the robustness and the stability of a robot control system, and reduces cost input and energy consumption in an implementation process of the technical scheme.

The invention relates to a GSM network-based access control system, which comprises: an AVR single-chip microcomputer and a GSM embedded module. Specifically, the AVR single-chip microcomputer is a core control chip of the system, and the GSM embedded module is responsible for the GSM communication of the whole system. The AVR single-chip microcomputer is in connection with the GSM embedded module through a serial port, by which control command transmission and data receiving between the AVR single-chip microcomputer and the GSM embedded module can be conducted. The GSM embedded module collects information about a fixed-line telephone incoming call, a mobile phone incoming call or a short message of a user. By combining the wireless GSM network communication technology and voice/image processing technology, the access control system puts forward a wireless access control system based on a GSM, solves the existing access control system line problem, and substitutes the content of an original indoor unit and line. And only a mobile phone or fixed-line telephone is needed in each household, and this can be satisfied in each common family. Therefore, the installation cost is substantially reduced already. The invention also relates to an access control method.

The invention discloses an SAR image classification method for an SVM classifier by using a hybrid kernel function based on wavelet properties, belonging to the technical field of image processing and mainly solving the problem that effectiveness in image characteristic extraction is not sufficient. The method comprises the following steps: firstly, imputing training and testing sample images, and normalizing and marking the sample images; secondly, decomposing the normalized sample images, respectively extracting a plurality of characteristics from various decomposed sub-zones, and storing the characteristics in terms of a structural body of T1 x r; thirdly, according to the characteristics of the sub-zones, constructing the hybrid kernel function based on wavelet properties for the SVM classifier (see the formula on the lower right side, wherein, in the formula, Xi and Xj respectively indicate an ith sample image and a jth sample image, i and j are both less than or equal to 1, xik and xjk respectively indicate the kth chacteristics of the ith sample image and the jth sample, and Rhok is a convex combination coefficient; and fourthly, finishing the classification of the image characteristics by optimizing the convex combination coefficient in the hybrid kernel function. The method has the advantage of high image classification recognition rate and can be used for machine learning and mode identification.

An image processing system in which a portable terminal and an image processing apparatus are capable of communicating with each other contactlessly, includes: the portable terminal apparatus including: a display; and a transmitter that transmits display information indicating what is currently displayed on the display, to the image processing apparatus over contactless communication, and the image processing apparatus including: a receiver that receives the display information from the portable terminal over contactless communication; a memory that records in advance, display information samples and specified operations for the image processing apparatus, with their connections; and a controller that determines an appropriate operation based on the display information received by the receiver, the display information samples recorded in the memory and the specified operations also recorded in the memory, and makes the image processing apparatus perform that determined operation.

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.

A camera shooting system disclosed by the present invention comprises a first camera shooting device, a second camera shooting device, a laser projection device and a processor. The laser projection device is used to project the structured light patterns of the invisible laser to a common field of view of the first and second camera shooting devices, the first camera shooting device is used to acquire a first visible light color image and a first invisible light image in the common field of view, and the second camera shooting device is used to acquire a visible light gray-scale image and a second invisible light image in the common field of view, and the processor is used to utilize the first visible light color image and the visible light gray-scale image to synthesize a second visible light color image and utilize the first invisible light image and the second invisible light image to calculate a depth image. According to the present invention, the high-quality color image and depth image of a target can be acquired with a smaller size and the lower power consumption.

An image processing apparatus to be coupled to a DNS server through a network includes a name registration requesting unit configured to transmit a registration request to the DNS server to request registration of a correspondence between a host name and address information of the image processing apparatus, and an alias registration requesting unit configured to transmit a registration request to the DNS server to request registration of a correspondence between a uniquely defined alias and the address information of the image processing apparatus.

Occurrence of mosquito noise of a macro block that contains even a small plain region is suppressed. One macro block is subdivided into sub blocks each of which is composed of four pixelsxfour lines. The average value of luminance levels of each sub block is calculated. The absolute values of the difference values between the luminance levels and the average value are obtained for each sub block. The minimum value of the average difference values of the 16 sub blocks of one macro block is selected and decided as an activity of the macro block. Corresponding to the decided activity, a quantizer scale of the macro block is decided. With the decided quantizer scale, the macro block is quantized. According to this method, since the size of each sub block is smaller than the size of a conventional sub block of eight pixelsxeight lines, the average difference value of each sub block is more emphasized. Since the minimum value of the average difference values is designated as an activity of the macro block, an activity of a macro block that contains even a small plain portion can be more suppressed. As a result, a quantizer value of a macro block that contains an edge can be decreased. Thus, mosquito noise of a macro block that contains an edge portion of a picture can be suppressed.

The invention provides an image processing method and an image processing device. The image processing method and the image processing device are used for processing images obtained by a terminal with double cameras. The image processing method includes the steps of obtaining a first image through the first camera, obtaining a second image through the second camera, determining relative displacement compensation between the first image and the second image according to the angle difference and the deviation between the first image and the second image, and carrying out compensation on the first image or the second image according to the relative displacement compensation to achieve anti-shaking processing. According to the technical scheme, image processing time is effectively shortened and energy consumption of image processing is reduced.

The invention discloses a shooting method based on a simulated scenario. The shooting method comprises the steps that firstly the format of the required simulated scenario is selected in the process of capturing camera data; secondly, corresponding filter processing is performed on the captured camera data according to the format of the selected simulated scenario; finally, the camera data after filter processing and the format of the selected simulated scenario are combined to obtain result data. In this way, there is no need to cost much time for post production, operation is simple, especially, the operation is quite convenient for a common user who does not have image processing professional knowledge, and the application range is wide.

The invention provides a double-fiber ball-shared coupling micro-measuring-force targeting sensor with an end face micro-structure, and belongs to the technology of precision instrument manufacture and measurement. The sensor comprises a laser device, a beam expanding collimating mirror, a fiber coupling lens, a guide pipe, a microscope objective, a CCD camera, a computer and a probe composed of an incidence fiber, a coupler and an outgoing fiber with the conical end face micro-structure. The coupler serves as a contact of the probe, and light beams are led out through the outgoing fiber with the conical end face micro-structure after being led into the coupler through the incidence optical fiber. The light beams which are led out enter the CCD camera through the microscope objective. The light spot energy center positions formed by the outgoing light beams on the CCD camera can be obtained through the image processing technology, and the targeting condition of the sensor in the space can be obtained through the one-to-one correspondence relation between the light spot energy center positions on the CCD camera and the spatial positions of sensor contacts. The outgoing fiber in the probe of the sensor is provided with the end face micro-structure, the signal to noise ratio of a detection signal is greatly increased, and the measurement resolving power of the sensor is improved.

In an exemplary capturing apparatus, a first captured image captured by a capturing section is acquired. Then, it is determined whether or not a face image is included in the first captured image. When it is determined that a face image is included, any one type of image processing is selected from a plurality of types of image processing including a type of image processing using the face image, and the selected type of image processing is performed on the first captured image.

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.

An image processing apparatus having a slideshow function includes: a storage unit that stores files corresponding to a plurality of images; a display unit that displays the plurality of images; a slideshow performing unit that reads the files from the storage unit and sequentially displays the plurality of images on the display unit in a slideshow function; a user input unit that receives input manipulation of a user and generating a signal; and an image processor that performs image processing on the files corresponding to images selected from the plurality of images displayed on the display unit based on the signal of the user input unit after the slideshow performing unit completes the slideshow function.

The invention belongs to the field of image processing, and discloses a photographed image processing method of an Android device, which comprises the following steps that after a camera of the Android device shoots, an HAL layer of a system obtains a video frame or a photo frame shot by the camera, calls a GPU(Graphics Processing Unit) to process the video frame or the photo frame according to apreset instruction to obtain a processed video frame or photo frame, and outputs the processed video frame or photo frame. According to the method, after a photographing APP calls a camera for photographing, the GPU is called to process the data shot by the camera in the HAL layer; a CPU does not need to be called on a JAVA layer for processing, processed data is transmitted to a photographing APP, and compared with a picture processing process of a traditional photographing APP, the picture processing method has the advantages that a hardware OPENGL directly processes an image integrally, andthe time for JAVA language to process pixels point by point through an algorithm is saved in the middle; the image processing speed and the image processing effect can be improved, and the CPU load is reduced.

An image processing apparatus includes a corrector for correcting a pixel value of each of a plurality of pixels forming each access unit to be processed, based on at least one of the parameter values corresponding to the access unit to be processed. The corrector includes an acquisition unit for acquiring input pixel values, a first mean value calculating unit for calculating a first mean pixel value, a second mean value calculating unit for calculating a second mean pixel value, a correction value determination unit for determining a correction value, and an adding unit for adding the correction value to the input pixel value of a target pixel.

There is disclosed an image processing apparatus for solving a problem that much time is required for judging specific information when the specific information such as a digital watermark is judged and printing is controlled, the apparatus comprising: indication means for indicating a mode from a first printing mode and a second printing mode higher in speed than the first printing mode; judgment means for judging whether or not specific information exists in an original; and printing means for, when the indication means indicates the second printing mode, printing an image in accordance with the original without performing the judgment by the judgment means.

One or more rectangular regions including image objects are extracted from input document image. The input document image is reduced by a desired scale factor, and the extracted rectangular regions are varied in scale by scale factors greater than the desired scale factor. The input document image varied in scale by the desired scale factor and the rectangular region images varied in scale are synthesized and outputted.

The invention discloses a high-power terahertz continuous wave two-dimensional imaging system which comprises a duplexer, a two-dimensional scanning platform, a terahertz continuous wave emitting module, a terahertz continuous wave receiving module, a TPX lens, a data collecting and processing module, an image processing module and an image display unit. The high-power terahertz continuous wave two-dimensional imaging system has the advantages that frequency exists at the terahertz wave band, the emitting power of the emitting module is high, and the system is simple in structure, small in size and high in resolution ratio.

The invention is applicable to the technical field of medical image processing and application, and provides a marker point registration method and device and a surgical navigation system. The method comprises that a space positioning error of each physical space marker point is calculated according to physical coordinate values of physical space marker points obtained many times and the average value of the physical coordinate values; a weight matrix of the physical space marker point is calculated according to the space positioning error; according to the average value of the physical coordinate values of the physical space marker points, and the average value of image coordinate values of the image space marker points, by combining the weight matrix, under the premise that the minimum marker point registration error FRE is ensured, a translation vector t and a rotation matrix R are solved by an iterative method. According to the utility model, the anisotropic nature of the space positioning error of the optical positioning system can be fully considered, so that the navigation accuracy of the entire surgical navigation is improved finally.

A method to transmit a label between two images, characterized in that the method includes the following steps:

• • providing a first image, the first image comprising several sets of connected points, each set being characterized by a label,
  • providing a second image,
  • from the second image, determining several sets of connected points,
  • superimposing the two images to determine the common parts and non-common parts of the sets in the first and second image,
  • giving each common part of the second image, the label of the set in the first image with which said part is common,
  • giving each non-common part of the second image in contact with a single set of connected points in the first image, the label of said set,
  • giving a new label to each non-common part of the second image not in contact with any set in the first image.