Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected pair of regions of the image file are of a same intrinsic characteristic, providing a classifier derived from a computer learning technique, computing a classification score for the selected pair of regions of the image file, as a function of the feature vector and the classifier and classifying the regions as being of the same intrinsic characteristic, as a function of the classification score.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, processing the image to generate intrinsic images including a material image and an illumination image, and detecting and removing specularity as a function of the intrinsic images.

Abstract: In an exemplary embodiment of the present invention, a test bed for optimizing an image segregation is provided. According to a feature of the present invention, the test bed comprises a memory storing an image file containing an image, a set of operations, a set of constraint software modules and a set of parameters relevant to the image, a transform module for performing a preselected one of the set of operations, defined by a preselected one of the set of constraint software modules, on the image, as a function of preselected ones of the set of parameters, to provide an output image, a test module utilizing the transform module output image, an analysis module for analyzing test module performance, and a feedback loop for varying selected ones of the operations, constraint software modules and parameters, for input to the transform module, to provide a new output image for input to the test module.

Abstract: The current invention provides a method of forming a foldable intraocular having a high refractive index from a copolymer comprising a first monomer comprising an aryl acrylate or an aryl methacrylate; a second monomer comprising an aromatic ring comprising a substituent having one ethylenic unsaturation, provided that the second monomer is not an aryl acryate or aryl methacrylate, and a third monomer comprising one ethylenic unsaturation that, if polymerized into a homopolymer, forms a high water content hydrogel; and, optionally, a cross-linking agent.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, determining intrinsic component information as a function of spatio-spectral information for the image, and calculating analytical information, as a function of the intrinsic component information.

Abstract: This invention relates to a method of making an intraocular lens insertion device comprising a lubricious insertion tip assembly and to the device itself.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, determining log chromaticity representations for the image, clustering the log chromaticity representations to provide clusters of similar log chromaticity representations and identifying regions of uniform reflectance in the image as a function of the clusters of similar log chromaticity representations.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying token regions in the image as a function pixel color comparisons relative to threshold values and varying the threshold values in selected areas of the image.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, organizing information relevant to the image according to a smooth-illumination constraint enforcing a Laplacian filter response such that ?2 ƒ(x, y)=0 and utilizing the smooth-illumination constraint to generate an intrinsic image from the image.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file, identifying a boundary in the image, calculating a representation of the boundary extending to segments of the image at either side of the boundary, performing feature calculations on the representation and classifying the boundary as caused by a material change, as a function of the feature calculations.

Abstract: A catheter that comprises a catheter configured for housing at least a portion of a catheter configured for insertion into a body lumen in proximity of a targeted anatomical site and having an imager at a distal end thereof and an adjustable chamber configured for covering the imager. The catheter is configured for introducing a wave conductive medium to the adjustable chamber to increase wave conductivity between said targeted anatomical site and the imager.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of identifying token regions in the image, each token region comprising a connected image region of similar color and intensity, and utilizing the identified token regions to generate single material token regions for use in processing material and illumination aspects of the image.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for determining illumination information in an image. According to a feature of the present invention, the method comprises the steps of identifying depth information in the image, identifying spatio-spectral information for the image, as a function of the depth information and utilizing the spatio-spectral information to identify illumination flux in the image.

Abstract: In an exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of generating spatio-spectral information for the image, defining a constraint as a function of the spatio-spectral information, and performing an optimization operation as a function of the constraint to generate an intrinsic image corresponding to the image.

Abstract: The present invention is directed toward the design of a holding apparatus which allows contact lens lathes to hold contact lens buttons during the contact lens manufacturing process. The holding apparatus functions to hold lenses manufactured from a different sized stock than what the lens manufacturing equipment is designed to hold. In general the holding apparatus has a circular portion having a mating surface on a one side and a cylindrical protrusion extending from the other side. A contact lens lathe can hold the cylindrical protrusion of the holding apparatus while the mating surface mates with a surface on a contact lens button. The lens button and holding apparatus surfaces can be modified to allow more efficient machining of the lens buttons.

Abstract: This disclosure describes systems and methods which utilize outcomes analysis, empirical and on-eye diagnostic fitting outcomes, and similar patient data to determine and provide a relatively optimal corrective device for the patient, in a single-use and disposable set of devices.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method for learning object recognition in an image is provided. According to a feature of the present invention, the method comprises the steps of providing a training set of standard images, calculating intrinsic images corresponding to the standard images and building a classifier as a function of the intrinsic images.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying shadow edges in the image, computing gradient information for the image and modifying the gradient information relative to the shadow edges for improved performance of computer functionality in an image processing operation.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the step of performing a filter response technique to identify patches of uniform reflectance within the image. In a further exemplary embodiment, the method comprises the additional step of utilizing the identified patches of uniform material reflectance to generate single material token regions for use in processing material and illumination aspects of the image.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for determining an illumination field in an image. The method comprises the steps of identifying uniform and linear tokens in the image and utilizing the uniform and linear tokens to identify an illumination field.