948 results about "Level set" patented technology

Provided is a scheme for implementing flexible control of subject authorizations (i.e. the authorizations which users or processes have) to perform operations in relation to computer resources. The methods, computer systems and authorization facilities which are provided by the invention enhance the security provisions of operating systems which have only very limited authorization facilities, by mapping the available operating system permissions to specified resource authorities for each of a set of aspects or characteristics of a computer system resource. Thus, the standard operating system permissions (e.g. read, write, execute) can have different meanings for different resource aspects, and an individual subject can have separate authorization levels set for the different resource aspects. The mappings between authorities and the available permissions may be different for different types of resources. The invention provides great flexibility in setting the authorizations that a subject may have in relation to particular resources.

The invention relates to an intelligent and automatic delineation method for a gross tumor volume and organs at risk, which includes the following steps: (1) tumor multi-modal (mode) image reconstruction, de-noising, enhancement, registration, fusion and other preprocessing; (2) automatic extraction of tumor image features: automatically extracting one or more pieces of tumor image group (texture feature spectrum) information from CT, CBCT, MRI, PET and/or ultrasonic multi-modal (mode) tumor medical image data; and (3) intelligently and automatically delineating a gross tumor volume and organs at risk through deep learning, machine learning, artificial intelligence, regional growing, the graph theory (random walk), a geometric level set, and/or a statistical theory method. A gross tumor volume (GTV) and organs at risk (OAR) can be delineated with high precision.

A transmitter is provided having transmission methods that minimize the power needed to ensure reliable reception in a coverage area. In one aspect, data that requires re-transmission as acknowledged mode data is re-transmitted when the power level of the transmission link is higher than a pre-determined level set for reliable reception. The data rate of the re-transmitted data is set according to the difference in the actual power and the pre-determined level. In a second aspect, two transmitting antennae are used to transmit the same signals with a frequency off-set. The frequency off set can be used to determine the phase of the signals being received at the receiver, so that a phase off-set can be introduced to optimise the effect of interference at the receiver.

Disclosed are a server system for performing moving picture data communication with a client device over a wireless network, and an operating method thereof. A server device compresses the moving picture data received from an external medium at a variably controlled compression rate according to transmission bandwidth of the current wireless network and an image quality level set by a user in response to a request of the client device. Moreover, the server device transmits the compressed moving picture data to the client device in a wireless fashion. Therefore, transmission delay and playback delay can be avoided and data loss is avoided during a data transmission operation, such that stable data communication can be performed.

A vacuum control system controls the amount of time that pressure is applied to a breast and the amount of time no pressure is applied to the breast, independent of the vacuum level. The amount of time that pressure is applied to a breast and the amount of vacuum applied to the breast cups can be varied by the user. A disposable biological filter isolates the pump from the breast cups. The biological filter is packaged in a housing that has an O-ring push-in connector to connect the collection system to the pump. The vacuum applied to the breast cups is monitored. The control system maintains the vacuum at a level set by the user. A second higher level is used as a safety threshold. The control system shuts down the pump when this higher level is sensed. The breast cup is constructed to provide a controlled collapse when vacuum is applied to mimic the suckling of an infant.

An “Image Segmenter” provides a variational energy formulation for segmentation of natural objects from images. In general, the Image Segmenter operates by adopting Gaussian mixture models (GMM) to capture the appearance variation of objects in one or more images. A global image data likelihood potential is then computed and combined with local region potentials to obtain a robust and accurate estimation of pixel foreground and background distributions. Iterative minimization of a “global-local energy function” is then accomplished by evolution of a foreground/background boundary curve by level set, and estimation of a foreground/background model by fixed-point iteration, termed “quasi-semi-supervised EM.” In various embodiments, this process is further improved by providing general object shape information for use in rectifying objects segmented from the image.

A nonvolatile memory device comprises a memory cell array comprising a selected page comprising multiple error correction code (ECC) units, and a voltage generation unit configured to generate a read voltage to read data from the selected page. Read voltage levels are set individually for the respective ECC units according to data detection results for each of the ECC units. During a read retry section performed with respect to selected ECC units of the selected page for which read errors have been detected, a re-read operation of the selected ECC units is performed according to the respective read voltage levels set for the selected ECC units.

A self-interference signal cancellation circuit includes a transmitter for transmitting a transmit signal, a plurality of signal paths, a controller, and a receiver for receiving a signal. Each signal path includes a delay element and a variable attenuator having attenuation levels set by the controller. A combiner generates an output signal by combining outputs of the signal paths. The circuit computes a matrix based on first and second output signals associated with first and second attenuation levels. The controller concurrently varies the attenuation level of each signal path so that a product of the matrix and the attenuation levels of the signal paths is substantially equal to the received signal. The circuit may iteratively compute the matrix using different transmit signal frequencies or with an FFT. The controller iteratively varies the attenuation level of the attenuators until a sum of the product and the received signal satisfies a predefined condition.

In a code amount estimating method, when encoding quantized values of coefficients of a larger-sized orthogonal transformation than an orthogonal transformation size assigned to a variable length encoding table, the quantized values are rearranged in a one-dimensional form, so as to obtain run-level sets. The number of groups is computed based on a proportion between an orthogonal transformation area corresponding to the orthogonal transformation size assigned to the variable length encoding table and an orthogonal transformation area for an encoding target. The Run-Level sets are classified into groups having the number of groups. Each Run is divided by the number of groups, and the obtained quotient is set as Run. A code length of each Run-Level set in each group is determined by referring to the variable length encoding table. The amount of generated code is estimated to be the total sum of the code lengths of all groups.

The invention discloses an unmanned aerial vehicle multi-overlapped-remote-sensing-image method for extracting a building contour line. The unmanned aerial vehicle multi-overlapped-remote-sensing-image method includes the steps that three-dimensional point cloud is generated with an aerial-triangulation and dense-matching combined method and filtered, and a building is detected from the point cloud; after the walls of the detected building are canceled, the general contour of the building is extracted from building top face information; the general contour of the building serves as a buffering area to be overlapped on spliced images and serves as shape prior information, evolution is carried out in the buffering area with a level set algorithm, and finally an accurate contour of the building is obtained. By means of the unmanned aerial vehicle multi-overlapped-remote-sensing-image method, as point cloud three-dimensional information generated by the multiple overlapped images is sufficiently used, and meanwhile the high-accuracy geometrical information of the high-resolution remote sensing images is used in a combined mode, the building contour extracting accuracy is remarkably improved, and the complexity of the method is lowered.

Photomask patterns are represented using contours defined by level-set functions. Given target pattern, contours are optimized such that defined photomask, when used in photolithographic process, prints wafer pattern faithful to target pattern. Optimization utilizes “merit function” for encoding aspects of photolithographic process, preferences relating to resulting pattern (e.g. restriction to rectilinear patterns), robustness against process variations, as well as restrictions imposed relating to practical and economic manufacturability of photomasks.

The invention provides a method for the outline automatic extraction of a level set medical ultrasonic image area based on an edge and a statistical characteristic, aiming at the characteristics of low contrast degree and small signal-to-noise ratio of medical ultrasonic images and designing a method for the outline extraction of the level set area based on the edge and the statistical characteristic. The method comprises three steps of: 1, carrying out area outline coarse extraction, completing image inverse extraction and self-adapting Gaussian function background suppression, applying otsu image automatic threshold algorithm to convert the image into a binary image, and carrying out image degreasing interference operation and closed area outline extraction work; 2, adopting a selectivity aeolotropy medical ultrasonic image smoothing algorithm to pre-treat an original image; and 3, carrying out the precise extraction of the level set image area based on the edge and the statistical characteristic. Experimental results indicate that compared with the prior method, the method of the invention can obtain a more precise partition result.

A system for performing peer volume polling is presented. A request is transmitted to peer mobile devices using a polling function in a mobile device. The polling function requests audible operation level setting data from peer mobile devices within a predetermined distance of the mobile device. A map is computed of the peer mobile devices, along with their associated audible operation level settings, based on responses to the request. The map and audible operation level settings are analyzed using rules to detect an inappropriate volume setting for the mobile device. In response to determining that a current audible operation level setting for the mobile device is inappropriate, a new audible operation level setting is applied to the mobile device.

This invention relates to the integration of visual information, anatomic constraints, prior shape knowledge, and level set representations for the segmentation of medical images. An embodiment according to the present invention comprises a level set variational framework that uses a bi-directional boundary flow, an intensity-based regional component that maximizes the a posteriori segmentation probability, a physiology-based module that constrains the solution space and a term that accounts for shape-driven consistency. All modules are expressed in an energetic form and the resulting objective function is optimized using a gradient descent method.

A device for controlling levels of light output by a solid state lighting load at low dimming levels includes a bleed circuit connected in parallel with the solid state lighting load. The bleed circuit includes a resistor and a transistor connected in series, the transistor being configured to turn on and off in accordance with a duty cycle of a digital control signal when a dimming level set by a dimmer is less than a predetermined first threshold, decreasing an effective resistance of the bleed circuit as the dimming level decreases.

A wireless ultra wideband (UWB) network may include a plurality of UWB wireless devices communicating over a plurality of UWB frequency bins extending over a UWB frequency range. At least one of the UWB wireless devices may be for determining an existing interference level associated with at least one of the UWB frequency bins, and for setting a desired transmission level for use with the at least one UWB frequency bin. In particular, the desired transmission level may be set based upon the existing interference level to keep a predicted overall interference level of the at least one UWB frequency bin below an interference ceiling.

The invention discloses an image segmentation method for a dynamic contrast-enhanced mammary gland MRI sequence, pertaining to the field of magnetic resonance image processing techniques, which is characterized by comprising the following steps: a three-dimensional magnetic resonance image sequence of the section of the mammary gland is put into a computer; the image is divided into two parts including a mammary gland-air interface and a mammary gland-chest interface; a breast-air boundary is obtained by a splitting transaction in which a dynamic threshold controls the regional growth; an initial profile of the mammary gland and the chest is obtained in the same way, the complex profile of the breast and the chest is obtained with a method of controlling a level set; a three-dimensional magnetic resonance image sequence of a point-in-time is obtained by split jointing the segmentation results and taken as an initial position of the next group three-dimensional image segmentation. The image segmentation method of the invention increases the segmentation speed, solves the problem that a level set algorithm can not easily determine the initial profile and the velocity function and realizes an automatic segmentation of the complex dynamic contrast-enhanced mammary-gland magnetic resonance image with plenty of data.

The present invention provides a system and method for simultaneous variational and adaptive segmentation of single non-overlapping and multiple overlapping/occluded-objects in an image scene. The method according to the present invention synergistically combines shape priors with boundary and region-based active contours in a level set formulation with a watershed scheme for model initialization for identifying and resolving multiple object overlaps in an image scene. The method according to the present invention comprises learning a shape prior for a target object of interest and applying the shape prior into a hybrid active contour model to segment overlapping and non-overlapping objects simultaneously.

A method of presenting a hierarchically-organized collection of objects includes displaying a first-level set of first-level objects in a prominent scale; and while displaying the first-level set of first-level objects in the prominent scale, displaying one or more second-level sets of second-level objects in a diminished scale. Each second-level set of second-level objects is linked to a different first-level object. The method further includes recognizing selection of a chosen first-level object, and after recognizing selection of the chosen first-level object: displaying a second-level set of second-level objects linked to the chosen first-level object in a prominent scale; displaying a portion of the chosen first-level object in an enlarged scale; and displaying one or more third-level sets of third-level objects in a diminished scale. Each third-level set of third-level objects is linked to a different one of the second-level objects.

The invention belongs to the field of treatment of medical images, and relates to a breast neoplasms ultrasonic image segmentation method based on improved level set algorithm. The method is characterized in that the original image is pre-treated and remains the effective area, the speckle noise is removed, so as to achieve the purpose of protecting the boundary; the image is adaptively segmented according to the threshold. The method comprises the steps of (1) inversing color for the image; (2) determining the threshold; (3) screening candidate areas; (4) arranging the rest candidate areas; (5) determining seed points. With the adoption of the method, the seed points can be quickly found, the seed points can be kept in a neoplasms area, and the accurate determination of the seed points ensures the accuracy of area growth and level set; in addition, the seed points grow in the area, and the initial contour can be found; the classic Chan-Vese (CV) algorithm is improved; the global statistics information of the curved line of the contour in the development process is considered during calculating the global statistics information; the accuracy of the segmentation result is ensured, and moreover, the automation level of the segmentation method can be further improved.