93 results about "Shape constraint" patented technology

A method and system for mapping a volume of an anatomical structure includes a processor for computing a contour of a medical device as a function of positional and/or a shape constraints, and to translate the contour into known and virtual 3D positions. The processor is configured to determine a spatial volume based on a virtual position, and to render a 3D representation of the spatial volume. A method and system of mapping a surface of an anatomical structure includes a processor configured to obtain an image of the structure. The processor is further configured to receive a signal indicative of a medical device contacting the surface of the anatomical structure, and to determine a position of the device upon when contact has been made. The processor is configured to superimpose marks on the image indicative of a contact points between the device and the structure.

A method, apparatus, medium and signal for producing a representation of a measurable property which varies in time and space are disclosed. The apparatus includes a receiver for receiving a plurality of sets of values representing measurements of the property across the object at respective measurement times, each set being associated with a respective measurement time. The apparatus further includes a processor circuit in communication with the receiver. The processor circuit is programmed to produce a plurality of sets of values representing the property at a plurality of locations throughout the object at the respective measurement times, by minimizing a figure of merit function relating the values representing the measurements with the values representing the property at the plurality of locations, with a shape constraint imposed on the values representing the property at the plurality of locations.

A method is provided for segmenting an image of interest of a left ventricle. The method includes determining a myocardium contour according to a graph cut of candidate endocardium contours, and a spline fitting to candidate epicardium contours in the absence of shape propagation. The method further includes applying a plurality of shape constraints to candidate endocardium contours and candidate epicardium contours to determine the myocardium contour, wherein a template is determined by shape propagation of a plurality of images in a sequence including the image of interest in the presence of shape propagation.

Techniques are presented to semantically zoom information to fit within a bounded display space. A bounded display space optionally constrained by size or shape is determined. Semantically coherent portions of information to be displayed within the bounded space are determined. Transformation rules are applied to the portion of the information to be displayed to produce a plurality of different length representations. A store of semantic zoom level information associates combinations of the different length portion representations. A desired number of information elements to be displayed within the bounded display space is determined. Iterations over the store of semantic zoom information determine combinations of different length representations that fit within the bounded display space.

A flange is provided at the opening metal of a pressure container, and it extends toward the periphery of the container body at the bonding part thereof at which it bonds to the container body. The liner of the pressure container has a self-sealing part at which it abuts the flange to be sealed up together. On the outer peripheral side of the self-sealing part, a ring-shaped constraint member is provided in the outer periphery of the liner, and the constraint member is to restrict the diameter expansion of the liner to be caused by the expansion of the container body. The liner has an easily-displaceable part that is readily elongable and deformable, at the outer periphery thereof in the radial direction of the self-sealing part.

A Bayesian formulation for coupled surface evolutions in level set methods and application to the segmentation of the prostate and the bladder in CT images are disclosed. A Bayesian framework imposing a shape constraint on the prostate is also disclosed, while coupling its shape extraction with that of the bladder. Constraining the segmentation process improves the extraction of both organs' shapes.

The invention relates to a level-set retinal vessel image segmentation method with fusion shape prior, comprising: (1) utilizing morphological operators and Gaussian convolution to enhance the retinal vessel image; (2) adopting the anisotropy characteristic of Hessian matrix and improving The vascular response function of the retinal vascular image is roughly segmented and used as shape constraints and initialization information; (3) using the shape prior and retinal image data information to construct a model that includes local area energy fitting items, shape constraint items, and level set function regularity maintenance A level set model for retinal vessel segmentation with length penalty term, weighted area constraint term. The segmentation result of the present invention has high accuracy, can replace manual segmentation, can play an important auxiliary role in the diagnosis and treatment of clinically relevant ophthalmic diseases, and has strong clinical application value.

The invention discloses a point cloud registration method based on shape constraint, which comprises the following steps of: loading a source point cloud and a template point cloud, selecting a to-be-matched point cloud from the source point cloud, and obtaining a feature descriptor of each point; randomly selecting a plurality of initial points from the to-be-matched point cloud, carrying out repeating for multiple times, and determining a group of initial points with the maximum graph area as a to-be-tested point set; selecting a to-be-matched point from the to-be-measured point set, and calculating distances and included angles between other points in the to-be-measured point set and the to-be-matched point; traversing each point in the template point cloud, searching a reference point, and calculating distances and included angles between other points in the template point cloud and the reference point; screening a pre-selected point set; solving a target point from each pre-selected point set; calculating a transformation matrix between the point set to be measured and the target point set, carrying out coordinate transformation, calculating distance deviation between the matching points, continuously reducing the distance deviation through iteration, and continuously carrying out fine registration on the finally obtained reference transformation matrix by utilizing the final transformation matrix. The constraint on point selection is increased, and the robustness is high.

A light guide member (10) includes three surfaces of a second surface (S12), a fourth surface (S14), and a fifth surface (S15) as two or more non-axisymmetric curved surfaces, and a projection lens (30) includes a lens surface (31a) as a non-axisymmetric aspheric surface. With this, on the light guide member side, even when there is a shape constraint that the first surface (S11) or the third surface (S13) which is a surface contributing to light guide is a flat surface, and correction of asymmetric aberration is limited, it becomes possible to perform sufficient aberration correction as the whole of an optical system including the projection lens. Therefore, the virtual image display apparatus can have a wide viewing angle and high performance, and can be made small and lightweight.

A non-contact charging apparatus for a mobile body has a power-receiving device disposed in an electric car, and a power-transmitting device disposed in a manner of non-contact with the power-receiving device. The power-receiving device has a plurality of power-receiving coils distributively arranged in prescribed locations of the car to receive external electric power. The power-transmitting device has a plurality of power-transmitting coils arranged in prescribed locations outside of the electric car corresponding to the plurality of power-receiving coils to transmit electric power. The non-contact charging apparatus for a mobile body transmits electric power in a non-contact manner from the plurality of power-transmitting coils to the plurality of power-receiving coils and charges a secondary battery. Since a plurality of power-receiving coils are provided, electric power can be transmitted efficiently even when there are installation-space or installation-shape constraints.

The invention provides a text-to-image generation method of an adaptive attribute and instance mask embedded graph. The method comprises the following steps: obtaining 64 * 64, 128 * 128 and 256 * 256semantic layouts by using a frame regression network according to an input text; according to the 64 * 64 semantic layout, the sentence embedding vector and the random noise, generating coarse-grained image potential features and a low-resolution 64 * 64 image in a low-resolution generator; forming a pixel-level feature vector in the first high-resolution generator according to the 128 * 128 semantic layout; generating a first fine-grained image potential feature and a high-resolution 128 * 128 image in a first high-resolution generator according to the 128 * 128 semantic layout, the coarse-grained image potential feature and the pixel-level feature vector; and generating a high-resolution 256 * 256 image in a second high-resolution generator according to the 256 * 256 semantic layout, the first fine-grained image potential feature and the pixel-level feature vector. By implementing the method, the resolution of the image is high, the shape constraint of the instance is met, and the attribute characteristics are consistent with the description.

A computer-implemented method for vertebrae segmentation includes providing an image of a plurality of vertebrae, and determining a seed in each of at least two adjacent vertebrae in the image. The method further includes mapping a unit square to the seeds in the image as corresponding shape constraints on a segmentation, evolving the shape constraints to determine the segmentation of the adjacent vertebrae, wherein evolutions of the shape constraints interact, and outputting a segmented image indicating a location of the vertebra.

A method and system for multi-part left atrium (LA) segmentation in a C-arm CT volume is disclosed. Multiple LA part models, including an LA chamber body mesh, an appendage mesh, a left inferior pulmonary vein (PV) mesh, a left superior PV mesh, a right inferior PV mesh, and a right superior PV mesh, are segmented in a 3D volume. The LA chamber body mesh and the appendage mesh may be segmented as a combined object and the PV meshes may be segmented subject to a statistical shape constraint. A consolidated LA mesh is generated from the segmented LA part models.

Methods and systems for migrating circuit layouts. A floorplan layout is built for a target circuit using a subset of constraints that characterize a layout structure of an original circuit. Shape-constraint-based scaling is used on the floorplan layout by scaling parts of the floorplan layout in accordance with a plurality of different scaling ratios such that portions of the floorplan layout are concurrently scaled with the plurality of different scaling ratios. Cells are placed at locations defined by the floorplan layout. The floorplan layout is checked with shape-constraint-based legalization using all of the constraints to produce a migrated layout.

The invention belongs to the field of automatic license plate recognition and application of intelligent video monitoring, and relates to a color license plate positioning method. The method comprises the following steps of: acquiring CIELab color space automobile images; normalizing the images; performing morphological expansion processing on four classes of binary images by using diamond structure elements; obtaining a blue-white edge binary image, and obtaining a yellow-black edge binary image; performing expansion processing on the two edge binary images by using horizontal strip structure elements, and marking each potential license plate region; and setting four constraint conditions, namely constraint of license plate region area, relative size constraint of width and height of a license plate and width and height of an image, width-to-height ratio constraint of the license plate and shape constraint of the license plate, recognizing each potential license plate region and extracting the license plate region. The invention has the advantages that: the method is low in calculation quantity and high in processing speed, and is not affected by the interference region and the illumination condition change.

The invention provides a hybrid level set based three-dimensional tooth modeling method. The method comprises the following multiple steps: 1) selecting an initial slice and initializing a level set; 2) segmenting a tooth root slice image by utilizing a single-phase hybrid level set model constructed by combining priori shape constraint energy, Flux model based edge energy and priori gray based local region energy; 3) segmenting a tooth crown layer slice image by a dual-phase hybrid level set model in combination with regional competition constraint; and 4) reconstructing a contour segmentation based three-dimensional tooth model. According to the method, the hybrid level set model can effectively solve the problems of inaccuracy for edge positioning, incapability of processing an image, uneven gray level and the like in a conventional segmentation model, and an independent three-dimensional model of each tooth can be quickly and accurately constructed, so that a solid foundation is laid for making oral repair plans, biomechanical analysis and the like.

The invention discloses a low-energy electronic gun. The low-energy electronic gun comprises an electron emission device for emitting electrons, a grid electrode device for accelerating the electrons and controlling the quantity and speed of the electrons, a focusing device for conducting shape constraint on an electron beam formed by the electrons, an electronic gun housing for containing the focusing device in the cavity and a supporting device for fixing the electron emission device, the grid electrode device and the focusing device in the electronic gun housing and playing a fixing and supporting role. The focusing device is composed of three mutually-matched annular electrodes. One annular electrode is a positive potential electrode, the front end of the positive potential electrode is insulated and spaced from the other two annular electrodes through insulating ball, and the rear end of the positive potential electrode is insulated and spaced from the grid electrode device through an insulating ball as well. The other two annular electrodes are mutually matched to form an electrode structure, and the electrode structure is in a zero potential mode. The low-energy electronic gun has the advantages of being low in energy, adjustable in electron quantity and energy level, compact in structure, convenient to use and the like.

The invention relates to a robot grabbing pose estimation method combining geometric constraint and belongs to the technical field of robot vision grabbing. The robot grabbing pose estimation method combining geometric constraint comprises the following steps: generating an initial grabbing pose by means of holder simplified shape constraint to generate a grabbing sample containing a stable grabbing pose; and then screening a semi-stable grabbing pose quickly through force closed constraint, then analyzing the semi-stable grabbing pose by means of force balancing constraint and estimating thestable grabbing pose of a target object. The robot grabbing pose estimation method combining geometric constraint is suitable for estimating the grabbing poses of different objects and can estimate the stable grabbing pose within one second, and is high in calculating efficiency. Parameters of the holder in an algorithm are changed and the algorithm can be applied to other types of holders, so that the algorithm is applicable.

The present invention discloses a medical MR image segmentation method based on Hough transform and a geometric active contour and belongs to the technical field of image processing. According to the method, firstly, the prior shape knowledge that inner and outer contours of a left ventricle myocardium on a short axis image are of a round-like shaped is utilized, Hough transform is adopted to estimate an initial contour of a left ventricle and the reason of adopting Hough transform is that Hough transform has strong robustness, is not quite sensitive for the incompleteness of data or noise and can recognize partially deformed or partially shielded objects; the reason of using a K-means clustering algorithm is that as a square error based clustering method, the K-means clustering algorithm is simple and has a high clustering speed; and by using the method provided by the present invention, the inner and outer contours of the left ventricle can be segmented effectively, relative positions of evolving curves of the inner and outer contours of the left ventricle can be controlled and a function of shape constraint can be realized.

The invention belongs to the field of image processing technology and discloses a multi-shape-prior level set independent component analysis method and an image partitioning system. The method comprises the steps that a to-be-partitioned image and shape priors are input; curve initialization is performed; shape prior alignment is performed; the aligned shape priors are coded through a level set function; a shape prior matrix is formed; independent component analysis is used to perform dimension reduction; the current level set function is projected to a low-dimension space; probability distribution of the shape priors is estimated, shape driving energy items are constructed and combined with data driving energy items, and an energy function is formed; and the energy function is minimized,curve evolution is driven, and a partitioning result is obtained. Through the method and the system, high-dimension redundant features of the shape priors can be eliminated, therefore, distribution ofthe shape priors can be subjected to more accurate statistical analysis, more effective shape constraint can be formed, and finally an accurate partitioning result can be obtained.

The invention discloses a cabin body structural component on-machine rapid alignment device and alignment method based on the wall thickness and a shape constraint. A plane standard block is used to mark a position vector for a sensor and a ladder block is used to calibrate sound velocity and the zero position for a thickness tester. A measurement program is called to collect information about anexterior molded surface and the wall thickness of a measuring point and calculate inner cavity molded surface information. A laser displacement sensor is moved to the corresponding measuring point, and the inner cavity molded surface at the position clamped by four jaws is made axially symmetrical with respect to a rotary center realize rapid alignment of cabin body type parts. The cabin body structural component on-machine rapid alignment device and alignment method based on the wall thickness and the shape constraint can realize on-machine rapid alignment of the cabin body type parts based on digital controlled lathe, the wall thickness can be subjected to homogenization treatment according to a machining allowance constraint condition, the alignment efficiency and precision are both high and the cabin body structural component on-machine rapid alignment device and alignment method based on the wall thickness and the shape constraint have good utility value and application prospect in research of the cabin body structural component alignment and the wall thickness homogenization.

The invention discloses an active contour method based on shape constraint and direction field, and a system thereof. The method comprises the following steps of: S1, inputting the initial contour of a target object in image, and establishing the energy field relating to the shape distance of the initial contour according to the shape priori knowledge of the initial contour; S2, establishing the gradient intensity energy field by calculating the gradient intensity values extracted from all points of the edge of the target object; S3, establishing the gradient direction energy field by calculating the consistency between the tangential direction of each point in the initial contour and the tangential direction of each point extracted from the edge of the target object; and S4, overlapping the three energy fields established in S1-S3 to obtain a new energy field, carrying out global optimization, and obtaining an accurate contour of the target object. The invention gives more accurate and complete expression of target image contour under the condition of target image geometrical information in the known image, thus not only completely maintaining the geometrical characteristics of the target image, but also enriching the contour details.

The invention discloses a power grid active power real-time control method considering both regulation characteristics and economic and environmental protection performance. The power grid active power real-time control method is characterized in that the power grid active power real-time control method comprises a power station real-time active power output acquisition module, a sensitivity calculation module, a control strategy calculation module and a control strategy module; the above four modules independently and circularly operate according to the respective cycles thereof; a time limitfor avoiding active power frequent fluctuation adjustment is set according to the adjustment characteristics of each power station; relaxing of the power station active power frequent fluctuation adjustment time limit demand can be determined by using the optimized economic and environmental performance of power generation as a target, and power grid active power real-time control strategy optimization calculation of power balancing, the transmission device capacity, the stable cross section quota, and frequency-modulation peak-shaping constraints and according to the sensitivity of the active power frequent fluctuation adjustment time limit change to a target function, the consideration of the power station adjustment characteristics and the economic and environmental performance.

This invention discloses a kind of modular speaker component. A characteristic is that it includes a fixed part. This fixed part has a thin-walled structure. An active loudspeaker unit and passive diaphragm units are installed on it. Another characteristic is that it includes a sealed connection part. This sealed connection part is fixed on the said fixed part and it has sealing material; the said sealed connection part aligns, connects and secures the said fixed part to the opening of a rigid container. This causes the said fixed part and the rigid container to jointly form an airtight resonant space. The fixed part integrates the active loudspeaker unit and passive diaphragm units on top and combines with the sealed connection part fixed on it to form overall a universal high sound quality module that is unaffected by the rigid container. In a plan based on a small volume, it can also exhibit outstanding performance at medium and low frequencies; it can very conveniently form a complete high performance speaker with the rigid container, and satisfy the shape constraint requirements for the speaker in various application environments with different styles.