179168results about "Image enhancement" patented technology

A method and system operative to process monochrome image data are disclosed. In one embodiment, the method can comprise the steps of receiving monochrome image data, segmenting the input pixel values into pixel value ranges, assigning pixel positions in the lowest pixel value range an output pixel value of a first binary value, assigning pixel positions in the highest pixel value range an output pixel value of a second binary value, wherein the first and second binary values are different, and assigning pixel positions in intermediate pixel value ranges output pixel values that correspond to a spatial binary pattern. The resulting binary image data can be written to a file for subsequent storage, transmission, processing, or retrieval and rendering. In further embodiments, a system can be made operative to accomplish the same.

A number of improvements are provided relating to computer aided surgery utilizing an on tool tracking system. The various improvements relate generally to both the methods used during computer aided surgery and the devices used during such procedures. Other improvements relate to the structure of the tools used during a procedure and how the tools can be controlled using the OTT device. Still other improvements relate to methods of providing feedback during a procedure to improve either the efficiency or quality, or both, for a procedure including the rate of and type of data processed depending upon a CAS mode.

An interactive video display system. A display screen is for displaying a visual image for presentation to a user. A camera is for detecting an object in an interactive area located in front of the display screen, the camera operable to capture three-dimensional information about the object. A computer system is for directing the display screen to change the visual image in response to the object.

A method of operating a dimensioning system to determine dimensional information for objects is disclosed. A number of images are acquired. Objects in at least one of the acquired images are computationally identified. One object represented in the at least one of the acquired images is computationally initially selected as a candidate for processing. An indication of the initially selected object is provided to a user. At least one user input indicative of an object selected for processing is received. Dimensional data for the object indicated by the received user input is computationally determined.

Systems and methods of determining the volume and dimensions of a three-dimensional object using a dimensioning system are provided. The dimensioning system can include an image sensor, a non-transitory, machine-readable, storage, and a processor. The dimensioning system can select and fit a three-dimensional packaging wireframe model about each three-dimensional object located within a first point of view of the image sensor. Calibration is performed to calibrate between image sensors of the dimensioning system and those of the imaging system. Calibration may occur pre-run time, in a calibration mode or period. Calibration may occur during a routine. Calibration may be automatically triggered on detection of a coupling between the dimensioning and the imaging systems.

A system, method and apparatus for eliminating image tearing effects and other visual artifacts perceived when scanning moving subject matter with a scanned beam imaging device. The system, method and apparatus uses a motion detection means in conjunction with an image processor to alter the native image to one without image tearing or other visual artifacts. The image processor monitors the motion detection means and reduces the image resolution or translates portions of the imaged subject matter in response to the detected motion.

The present disclosure is directed to an augmented reality surgical system for viewing an augmented image of a region of interest during a surgical procedure. The system includes an image capture device that captures an image of the region of interest. A controller receives the image and applies at least one image processing filter to the image. The image processing filter includes a spatial decomposition filter that decomposes the image into spatial frequency bands. A temporal filter is applied to the spatial frequency bands to generate temporally filtered bands. An adder adds each band spatial frequency band to a corresponding temporally filtered band to generate augmented bands. A reconstruction filter generates an augmented image by collapsing the augmented bands. A display displays the augmented image to a user.

The present invention relates to an apparatus for rapidly analyzing frame(s) of digitized video data which may include objects of interest randomly distributed throughout the video data and wherein said objects are susceptible to detection, classification, and ultimately identification by filtering said video data for certain differentiable characteristics of said objects. The present invention may be practiced on pre-existing sequences of image data or may be integrated into an imaging device for real-time, dynamic, object identification, classification, logging / counting, cataloging, retention (with links to stored bitmaps of said object), retrieval, and the like. The present invention readily lends itself to the problem of automatic and semi-automatic cataloging of vast numbers of objects such as traffic control signs and utility poles disposed in myriad settings. When used in conjunction with navigational or positional inputs, such as GPS, an output from the inventative systems indicates the identity of each object, calculates object location, classifies each object by type, extracts legible text appearing on a surface of the object (if any), and stores a visual representation of the object in a form dictated by the end user / operator of the system. The output lends itself to examination and extraction of scene detail, which cannot practically be successfully accomplished with just human viewers operating video equipment, although human intervention can still be used to help judge and confirm a variety of classifications of certain instances and for types of identified objects.

The present invention includes methods, devices, systems, circuits and associated computer executable code for detecting and predicting the position and trajectory of surgical tools. According to some embodiments of the present invention, images of a surgical tool within or in proximity to a patient may be captured by a radiographic imaging system. The images may be processed by associated processing circuitry to determine and predict position, orientation and trajectory of the tool based on 3D models of the tool, geometric calculations and mathematical models describing the movement and deformation of surgical tools within a patient body.

A system and method tracks the movements of a driver or passenger in a vehicle (ground, water, air, or other) and controls devices in accordance with position, motion, and / or body or hand gestures or movements. According to one embodiment, an operator or passenger uses the invention to control comfort or entertainment features such the heater, air conditioner, lights, mirror positions or the radio / CD player using hand gestures. An alternative embodiment facilitates the automatic adjustment of car seating restraints based on head position. Yet another embodiment is used to determine when to fire an airbag (and at what velocity or orientation) based on the position of a person in a vehicle seat. The invention may also be used to control systems outside of the vehicle. The on-board sensor system would be used to track the driver or passenger, but when the algorithms produce a command for a desired response, that response (or just position and gesture information) could be transmitted via various methods (wireless, light, whatever) to other systems outside the vehicle to control devices located outside the vehicle. For example, this would allow a person to use gestures inside the car to interact with a kiosk located outside of the car.

A method and system for processing captured image information in an interactive video display system. In one embodiment, a special learning condition of a captured camera image is detected. The captured camera image is compared to a normal background model image and to a second background model image, wherein the second background model is learned at a faster rate than the normal background model. A vision image is generated based on the comparisons. In another embodiment, an object in the captured image information that does not move for a predetermined time period is detected. A burn-in image comprising the object is generated, wherein the burn-in image is operable to allow a vision system of the interactive video display system to classify the object as background.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Methods and systems for estimating a pose of a subject. The subject can be a human, an animal, a robot, or the like. A camera receives depth information associated with a subject, a pose estimation module to determine a pose or action of the subject from images, and an interaction module to output a response to the perceived pose or action. The pose estimation module separates portions of the image containing the subject into classified and unclassified portions. The portions can be segmented using k-means clustering. The classified portions can be known objects, such as a head and a torso, that are tracked across the images. The unclassified portions are swept across an x and y axis to identify local minimums and local maximums. The critical points are derived from the local minimums and local maximums. Potential joint sections are identified by connecting various critical points, and the joint sections having sufficient probability of corresponding to an object on the subject are selected.

Dense range data obtained at real-time rates is employed to estimate the pose of an articulated figure. In one approach, the range data is used in combination with a model of connected patches. Each patch is the planar convex hull of two circles, and a recursive procedure is carried out to determine an estimate of pose which most closely correlates to the range data. In another aspect of the invention, the dense range data is used in conjunction with image intensity information to improve pose tracking performance. The range information is used to determine the shape of an object, rather than assume a generic model or estimate structure from motion. In this aspect of the invention, a depth constraint equation, which is a counterpart to the classic brightness change constraint equation, is employed. Both constraints are used to jointly solve for motion estimates.

A system and method for building and / or manipulating a centralized medical image quantitative information database aid in diagnosing diseases, identifying prevalence of diseases, and analyzing market penetration data and efficacy of different drugs. In one embodiment, the diseases are bone-related, such as osteoporosis and osteoarthritis. Subjects' medical images, personal and treatment information are obtained at information collection terminals, for example, at medical and / or dental facilities, and are transferred to a central database, either directly or through a system server. Quantitative information is derived from the medical images, and stored in a central database, associated with subjects' personal and treatment information. Authorized users, such as medical officials and / or pharmaceutical companies, can access the database, either directly or through the central server, to diagnose diseases and perform statistical analysis on the stored data. Decisions can be made regarding marketing of drugs for treating the diseases in question, based on analysis of efficacy, market penetration, and performance of competitive drugs.