260results about How to "Reduce image noise" patented technology

An imaging system consisting of a cell-phone with camera as the detection part of an optical train which includes other components. Optionally, an illumination system to create controlled contrast in the sample. Uses include but are not limited to disease diagnosis, symptom analysis, and post-procedure monitoring, and other applications to humans, animals, and plants.

A hand-held 3D ultrasound instrument is disclosed which is used to non-invasively and automatically measure amniotic fluid volume in the uterus requiring a minimum of operator intervention. Using a 2D image-processing algorithm, the instrument gives automatic feedback to the user about where to acquire the 3D image set. The user acquires one or more 3D data sets covering all of the amniotic fluid in the uterus and this data is then processed using an optimized 3D algorithm to output the total amniotic fluid volume corrected for any fetal head brain volume contributions.

A digital photographic camera with brightness compensation and a compensation method thereof are applied for the brightness compensation of the digital photographic camera when shooting under different environments so as to maintain a frame rate. The camera includes a light measuring unit, a sensor, a light source generator, a light modulation unit, an operational unit, and a storage unit. The light measuring unit is used for sensing the environment brightness of the camera. The light modulation unit is coupled to the light source generator and used for controlling luminance of the light source generator. The operational unit is coupled to the light measuring unit and the light source generator, and executes a brightness calibration process for calibrating a brightness sensing reference value of the light measuring unit and a brightness compensation process for adjusting the luminance of the light source generator according to the environment brightness of the camera.

A method of producing lane information for use in a map database is disclosed. In at least one embodiment, the method includes acquiring one or more source images of a road surface and associated position and orientation data, the road having a direction and lane markings parallel to the direction of the road; acquiring road information representative of the direction of said road; transforming the one or more source images to obtain a transformed image in dependence of the road information, wherein each column of pixels of the transformed image corresponds to a surface parallel to the direction of said road; applying a filter with asymmetrical mask on the transformed image to obtain a filtered image; and producing lane information from the filtered image in dependence of the position and orientation data associated with the one or more source images.

The invention discloses a video-based detection and recognition system and a method of vehicles. The system comprises a target characteristic database module, a moving target detection module and a vehicle recognition module. A vehicle sample target characteristic database is built to store data by virtue of the target characteristic database module. After a moving target zone is detected by the moving target detection module, the vehicle recognition module builds a search window and recognizes vehicles. The system and the method resolve the technical problems of poor vehicle distinguishing capability and low distinguishing accuracy of the video-based vehicle detection under the condition of obvious background movement, vehicle adhesion, vehicle occlusion and the like in the prior art. The video-based detection and recognition system and the method of the vehicles have the advantages of excellent vehicle distinguishing capability and high accuracy.

In a method for imaging in digital dental radioscopy making use of a sensor array, the individual image elements of which are smaller than a desired local resolution so that a plurality of image elements forms a respective effective image element, first reference signals, which are generated by the image elements of the sensor array when said sensor array is not exposed to X-radiation, are initially detected. In addition, second reference signals, which are generated by the image elements of the sensor array when said sensor array is exposed to X-radiation, are detected. Subsequently, defective image elements are determined on the basis of the detected first and second reference signals, whereupon an image of an object is produced using exclusively the image elements that have been determined as being non-defective. Furthermore, during production of the image of an object, it can be determined for the object signals detected for the respective image elements whether said image elements have been hit directly by an X-ray quantum. Image elements that have been hit directly by an X-ray quantum are not used for producing the image of the object.

A hand-held 3D ultrasound instrument is disclosed which is used to non-invasively and automatically measure amniotic fluid volume in the uterus requiring a minimum of operator intervention. Using a 2D image-processing algorithm, the instrument gives automatic feedback to the user about where to acquire the 3D image set. The user acquires one or more 3D data sets covering all of the amniotic fluid in the uterus and this data is then processed using an optimized 3D algorithm to output the total amniotic fluid volume corrected for any fetal head brain volume contributions.

Apparatus and methods for fluorescence imaging using radiofrequency multiplexed excitation. One apparatus splits an excitation laser beam into two arms of a Mach-Zehnder interferometer. The light in the first beam is frequency shifted by an acousto-optic deflector, which is driven by a phase-engineered radiofrequency comb designed to minimize peak-to-average power ratio. This RF comb generates multiple deflected optical beams possessing a range of output angles and frequency shifts. The second beam is shifted in frequency using an acousto-optic frequency shifter. After combining at a second beam splitter, the two beams are focused to a line on the sample using a conventional laser scanning microscope lens system. The acousto-optic deflectors frequency-encode the simultaneous excitation of an entire row of pixels, which enables detection and de-multiplexing of fluorescence images using a single photomultiplier tube and digital phase-coherent signal recovery techniques.

A noise eliminating device may include a noise eliminating mechanism that eliminates an isolated noise in an image being photographed. The noise eliminating mechanism may include a noise pixel detection mechanism and a pixel correction mechanism. The noise pixel detection mechanism may detect a noise pixel by scanning the image. The pixel correction mechanism may correct a level of a detected noise pixel based on a level of a pixel located in a predetermined area from the noise pixel. A noise eliminating method for eliminating an isolated noise in an image being photographed may include detecting a noise pixel by scanning the image and correcting a level of the detected noise pixel based on a level of a pixel located in a predetermined area away from the noise pixel.

X-ray radiation is transmitted through and scattered from an object under inspection to detect weapons, narcotics, explosives or other contraband. Relatively fast scintillators are employed for faster X-ray detection efficiency and significantly improved image resolution. Detector design is improved by the use of optically adiabatic scintillators. Switching between photon-counting and photon integration modes reduces noise and significantly increases overall image quality.

A hand-held 3D ultrasound instrument is disclosed which is used to non-invasively and automatically measure amniotic fluid volume in the uterus requiring a minimum of operator intervention. Using a 2D image-processing algorithm, the instrument gives automatic feedback to the user about where to acquire the 3D image set. The user acquires one or more 3D data sets covering all of the amniotic fluid in the uterus and this data is then processed using an optimized 3D algorithm to output the total amniotic fluid volume corrected for any fetal head brain volume contributions.

Certain embodiments of the present invention provide a system and method for reducing image noise with the use of a minimal error spatiotemporal recursive filter. An input image is filtered both temporally and spatially, producing a temporal output and a spatial output. Both the temporal output and the spatial output are correlated with the input image to produce a temporal correlation output and a spatial correlation output. The temporal correlation output and the spatial correlation output are mixed to generate a selecting signal. The selecting signal directly or indirectly determines the composition. of an output image. The selecting signal may select a portion of the temporal output and a portion of the spatial output to compose an output image. Alternatively, the selecting signal may select either the temporal output or the spatial output to compose an output image.

The invention discloses a CT (Computed Tomography) value correcting method for cone-beam CT. The CT value correcting method comprises the following steps: scanning air, a water phantom and a bone tissue body phantom under different scanning conditions to respectively obtain projection data; reestablishing an image; removing noise and artifacts by adopting a polynomial fitting method based on a template image; selecting a plurality of interested regions and calculating a mean value of an attenuation coefficient and a standard deviation of the attenuation coefficient; obtaining the value range of the attenuation coefficient and taking the attenuation coefficient of maximum occurrence probability; fitting the attenuation coefficients of the air, the water phantom and the bone tissue body phantom under the different scanning conditions with corresponding ideal CT values to obtain respective fitting curves; performing CT scanning and image reestablishment on a scanned material; obtaining a CT value image according to a material attenuation coefficient image and a fitting curve and finishing the CT value correction. According to the CT value correcting method disclosed by the invention, image noise and artifact can be effectively reduced, the reestablished image of single material reaches the uniformity to the great degree, the precision of the attenuation coefficient of the material becomes higher and further high accuracy for the fitting of the curve of the CT value and the material attenuation coefficient is realized.

Ultrasonic strain measurements, which characterize the structure of tissue, may be obtained by combining multiple echo signals acquired at different compressions and at different angles. Such angular compounding may improve the quality of the elastic signal and provide at one time both an axial and lateral strain measurement.

A system and method to conduct image segmentation by imaging target morphological shapes evolving from one 2-dimension (2-D) image slice to one or more nearby neighboring 2-D images taken from a 3-dimension (3-D) image. One area defined by a user as a target on an image slice can be found in a corresponding area on a nearby neighboring image slice by using a deformation field generated with deformable image registration procedure between these two image slices. It allows the user to distinguish target and background areas with the same or similar image intensities.

An image lens assembly includes, in order from an object side to an image side, a first lens element, a second lens element, a third lens element, a fourth lens element and a fifth lens element. The first lens element with positive refractive power has a convex object-side surface. The second lens element has negative refractive power. The third lens element with refractive power is made of plastic material, and has at least one surface being aspheric. The fourth lens element with refractive power is made of plastic material, and has a concave object-side surface and a convex image-side surface, wherein at least one surface of the fourth lens element is aspheric. The fifth lens element with positive refractive power is made of plastic material, and has a convex object-side surface and a convex image-side surface, wherein at least one surface of the fifth lens element is aspheric.

A system and method is provided for estimating the local noise of CT images and denoising the images using a modified non-local means (NLM) algorithm that is adaptive to local variations of noise levels. A strategy for efficiently estimating the local noise of CT images is also described.

Embodiments of the present invention include a method and apparatus for accurate cone beam reconstruction with source positions on a curve (or set of curves). The inversion formulas employed by embodiments of the method of the present invention are based on first backprojecting a simple derivative in the projection space and then applying a Hilbert transform inversion in the image space.

The invention discloses a method for removing a vehicle shadow based on multi-feature fusion. A static camera opposite to a road is adopted to extract a target. The method comprises the following steps of: 1) extracting a foreground object including a vehicle and a shadow; 2) carrying out filter treatment on the foreground object; 3) detecting a peripheral point of the foreground object after filter treatment; 4) dividing a projection sequence of the peripheral point by the Otsu threshold segmentation method, and obtaining a preliminary parting surface of the vehicle and the shadow, and 5) utilizing a regional growth search method from the preliminary parting surface, and finishing precise extraction of the shadow by the local texture illumination invariability principle. The method has the advantages of high detection precision, low complexity and strong applicability.

A dodging process which brightens a dark portion sometimes makes noise components contained in an image obtained by an image sensor conspicuous. A gray image generator extracts a luminance component Y of an image, an unsharp image generator generates an unsharp image L on the basis of the luminance component Y, a correction coefficient calculator calculates a correction coefficient g for correcting a brightness difference of the image in accordance with the unsharp image L, a corrector performs a dodging process in accordance with the correction coefficient g, and a noise eliminator eliminates noise of the image in accordance with the correction coefficient g.

An imaging system consisting of a cell-phone with camera as the detection part of an optical train which includes other components. Optionally, an illumination system to create controlled contrast in the sample. Uses include but are not limited to disease diagnosis, symptom analysis, and post-procedure monitoring, and other applications to humans, animals, and plants.

The invention discloses a method for segmenting color images by means of combining a Gaussian mixture model and a support vector machine. The method mainly includes extracting characteristics of an image; building the Gaussian mixture model; and classifying by the aid of the support vector machine. A particular process mainly includes firstly, extracting color characteristics and texture characteristics of the image; then building the Gaussian mixture model and obtaining new characteristics of the extracted original characteristics by the aid of the Gaussian mixture model; secondly, obtaining an initial segmentation result by the new characteristics; and finally selecting training samples according to the initial segmentation result, classifying the training samples by the aid of the support vector machine and obtaining a final segmentation result. When the characteristics are described, the image is initially segmented according to the new characteristics obtained via the Gaussian mixture model (GMM) without being based on the original characteristics, and the final segmentation result is obtained by the aid of the support vector machine (SVM). Time-space domain information of the image is sufficiently utilized, shortcomings of the Gaussian mixture model (GMM) which builds a module with a complicated background only by the aid of time domain information are overcome, and segmentation accuracy is effectively improved.

A method and apparatus for minimizing image interference using a very low intermediate frequency image rejection receiver is disclosed. Image interference detection and avoidance by frequency plan adjustment within the very low intermediate frequency receiver image rejection receiver minimizes rejection requirements for an image reject mixer. Image rejection can be measured by switching between in-phase and out-of-phase image reject mixer output ports. Rejection may also be measured by creating a tri-mode image reject mixer. A set of linear equations allows rejection to be measured without requiring control of input signals and additional mixers.

The invention discloses a face detection method based on a cascaded connection convolutional neural network. The method is realized by two steps of training and testing. Firstly, image preprocessing is carried out, an image to be tested is subjected to scale transformation, and the test image is input into a first-hierarchy network. Then, in a first hierarchy, a full convolution network is adoptedto generate face candidate boxes. On a second hierarchy, a non-maximum value inhabitation method is adopted to further filter the obtained face candidate boxes. Finally, in a third-hierarchy network,the face box is screened and further regressed, and the face is filtered for the last time. According to the method, the compact neural network is adopted, image data features are enhanced through acascade connection network method, image noise is lowered, and a good effect is achieved on the aspects of accuracy and speed.