Abstract: A dimensioning system can include stored data indicative of coordinate locations of each reference element in a reference image containing a pseudorandom pattern of elements. Data indicative of the coordinates of elements appearing in an acquired image of a three-dimensional space including an object can be compared to the stored data indicative of coordinate locations of each reference element. After the elements in the acquired image corresponding to the reference elements in the reference image are identified, a spatial correlation between the acquired image and the reference image can be determined. Such a numerical comparison of coordinate data reduces the computing resource requirements of graphical comparison technologies.

Abstract: 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.

Abstract: A dimensioning system can include stored data indicative of coordinate locations of each reference element in a reference image containing a pseudorandom pattern of elements. Data indicative of the coordinates of elements appearing in an acquired image of a three-dimensional space including an object can be compared to the stored data indicative of coordinate locations of each reference element. After the elements in the acquired image corresponding to the reference elements in the reference image are identified, a spatial correlation between the acquired image and the reference image can be determined. Such a numerical comparison of coordinate data reduces the computing resource requirements of graphical comparison technologies.

Abstract: 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.

Abstract: 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.

Abstract: Volume dimensioning employs techniques to reduce multipath reflection or return of illumination, and hence distortion. Volume dimensioning for any given target object includes a sequence of one or more illuminations and respective detections of returned illumination. A sequence typically includes illumination with at least one initial spatial illumination pattern and with one or more refined spatial illumination patterns. Refined spatial illumination patterns are generated based on previous illumination in order to reduce distortion. The number of refined spatial illumination patterns in a sequence may be fixed, or may vary based on results of prior illumination(s) in the sequence. Refined spatial illumination patterns may avoid illuminating background areas that contribute to distortion. Sometimes, illumination with the initial spatial illumination pattern may produce sufficiently acceptable results, and refined spatial illumination patterns in the sequence omitted.

Abstract: Various corporate, industry, and regulatory guidelines, best practices and standards are used in establishing acceptable levels of accuracy for volume dimensioning systems used in commerce. A volume dimensioning system can determine at least one distortion value that is indicative of an amount of distortion present in the system and responsive to the amount of distortion, autonomously after or adjust the units of accuracy of information reported by the system. Such alteration or adjustment of units of accuracy may be performed based on an assessment of the distortion relative to a number of distortion thresholds. Responsive to the assessment, the volume dimensioning system can adjust a unit of accuracy in a representation of volume dimensioning related information.

Abstract: 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.

Abstract: Volume dimensioning employs techniques to reduce multipath reflection or return of illumination, and hence distortion. Volume dimensioning for any given target object includes a sequence of one or more illuminations and respective detections of returned illumination. A sequence typically includes illumination with at least one initial spatial illumination pattern and with one or more refined spatial illumination patterns. Refined spatial illumination patterns are generated based on previous illumination in order to reduce distortion. The number of refined spatial illumination patterns in a sequence may be fixed, or may vary based on results of prior illumination(s) in the sequence. Refined spatial illumination patterns may avoid illuminating background areas that contribute to distortion. Sometimes, illumination with the initial spatial illumination pattern may produce sufficiently acceptable results, and refined spatial illumination patterns in the sequence omitted.

Abstract: A dimensioning system can include stored data indicative of coordinate locations of each reference element in a reference image containing a pseudorandom pattern of elements. Data indicative of the coordinates of elements appearing in an acquired image of a three-dimensional space including an object can be compared to the stored data indicative of coordinate locations of each reference element. After the elements in the acquired image corresponding to the reference elements in the reference image are identified, a spatial correlation between the acquired image and the reference image can be determined. Such a numerical comparison of coordinate data reduces the computing resource requirements of graphical comparison technologies.

Abstract: Various corporate, industry, and regulatory guidelines, best practices and standards are used in establishing acceptable levels of accuracy for volume dimensioning systems used in commerce. A volume dimensioning system can determine at least one distortion value that is indicative of an amount of distortion present in the system and responsive to the amount of distortion, autonomously alter or adjust the units of accuracy of information reported by the system. Such alteration or adjustment of units of accuracy may be performed based on an assessment of the distortion relative to a number of distortion thresholds. Responsive to the assessment, the volume dimensioning system can adjust a unit of accuracy in a representation of volume dimensioning related information.

Abstract: Volume dimensioning employs techniques to reduce multipath reflection or return of illumination, and hence distortion. Volume dimensioning for any given target object includes a sequence of one or more illuminations and respective detections of returned illumination. A sequence typically includes illumination with at least one initial spatial illumination pattern and with one or more refined spatial illumination patterns. Refined spatial illumination patterns are generated based on previous illumination in order to reduce distortion. The number of refined spatial illumination patterns in a sequence may be fixed, or may vary based on results of prior illumination(s) in the sequence. Refined spatial illumination patterns may avoid illuminating background areas that contribute to distortion. Sometimes, illumination with the initial spatial illumination pattern may produce sufficiently acceptable results, and refined spatial illumination patterns in the sequence omitted.

Abstract: 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.

Abstract: An image processing system, for processing a 3-D image of a 3-D substantially tubular structure (AAA), formed of a lumen (LUM) limited by a wall (5,6), comprising processing means (102) for segmenting the 3-D external or internal surface of the structure; estimating a local parameter such as the local wall thickness (T) or diameters; and display means (105) for displaying the 3-D surface of segmentation with zones colorized according to a color code, so that to indicate the local parameter values in said zones. The system may comprise processing means to generate (107) a 3-D virtual cylinder and projecting (108) the color-coded 3-D segmentation surface onto the 3-D virtual cylinder surface colorized according to the same color-code; and projecting the 3-D virtual cylinder surface onto a 2-D color-coded map; and display means for displaying the 2-D color-coded map with colorized zones indicating the local parameter values (T) in said zones (109).

Abstract: 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.

Abstract: An image processing system comprising 3D image data processing means of automatic mapping a 3-D Surface Model onto the surface of an object of interest in a 3-D image, for estimating a model-based 3-D segmentation surface, comprising visualizing means and further comprising means of interactive adaptation of the segmentation surface to the actual surface of the object of interest including means of interactive selection of a 2D data plane (DP) that intersects the 3-D segmentation surface along a 2-D Model Curve (MC), said Data Plane having a user-selected orientation with respect to said surface, which is appropriate for the user to visualize a 2-D portion called Aberrant Curve (AC) of said Model Curve to be modified; means of interactive definition of a Guiding Curve (GC) in the 2-D Data Plane; means of interactive adaptation of said Aberrant Curve (AC) to said Guiding Curve (GC); and means of further automatically adapting the 3D segmentation surface within a neighborhood of the interactively adapted Aberra

Abstract: A method is disclosed for improving the accuracy of a surface mesh describing a segmented 3D object in a 3D image. A dual triangulation surface mesh is provided for a simplex surface mesh of the 3D object. Errors are reduced in the representation of the 3D object caused by the dual triangulation surface mesh by shifting triangulation nodes of the dual triangulation surface mesh of the segmented 3D object for providing a more accurate triangulation surface mesh. The 3D image is preferably a medical 3D image. Furthermore, a medical workstation, comprised in medical imaging system is disclosed for implementing the above improvement.

Abstract: The invention relates to system (100) for segmenting an image dataset based on a deformable model for modeling an object in the image dataset, utilizing a coarse mesh for adapting to the image dataset and a fine mesh for extracting detailed information from the image dataset, the system comprising an initialization unit (110) for initializing the coarse mesh in an image dataset space, a construction unit (120) for constructing the fine mesh in the image dataset space based on the initialized coarse mesh, a computation unit (130) for computing an internal force field on the coarse mesh and an external force field on the coarse mesh, wherein the external force is computed based on the constructed fine mesh and the scalar field of intensities, and an adaptation unit (140) for adapting the coarse mesh to the object in the image dataset, using the computed internal force field and the computed external force field, thereby segmenting the image dataset.

Abstract: A method for delineating a bony structure within a 3D image of a body volume. A non contrast-enhanced tissue (reference) structure and a region comprising the bony structure and contrast-enhanced structures are identified (S2, S3) by thresholding or other image segmentation technique. A deformable model generally representative of the bony structure aligned and centred relative to the reference structure (S4) and the model is then deformed (S5) relative to the region of the image including the bony structure so as to fit the model thereto and thereby to delineate the bony structure in the image.

Abstract: An encoding and a decoding method for transmitting and storing description element(s) of an XML-like document which is an instance of an XML-like schema.