Abstract: A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Abstract: A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Abstract: A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Abstract: A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Abstract: A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Abstract: A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Abstract: Embodiments are directed to systems and methods for blind image deconvolution. One method of blind image deconvolution comprises capturing a video using an imaging device and measuring a sharpness degradation metric for the video. The method further comprises determining parameters of a point spread function (PSF) corresponding to the sharpness degradation metric using a predetermined equation and performing deconvolution on at least one frame of the video using the PSF and the determined parameters.

Abstract: A method of correcting an infrared image is provided. The method includes receiving an image from a camera comprising a first pixel with a first pixel value and a neighbor pixel with a neighbor pixel value. The first pixel and the neighbor pixel can be assumed to view the same object. The method further includes storing the first and neighbor pixel values in an image table, generating a corrected image table by adding the first pixel value to a corrected pixel value in a correction table, determining that the camera is not moving, and masking edges in the corrected image table. The method further includes updating the correction table by: determining that the first pixel value and neighbor pixel value are not edges, computing the difference between the first and neighbor pixel values, and storing the difference in the correction table. The method further includes providing an output image table.

Abstract: A method of correcting an infrared image is provided. The method includes receiving an image from a camera comprising a first pixel with a first pixel value and a neighbor pixel with a neighbor pixel value. The first pixel and the neighbor pixel can be assumed to view the same object. The method further includes storing the first and neighbor pixel values in an image table, generating a corrected image table by adding the first pixel value to a corrected pixel value in a correction table, determining that the camera is not moving, and masking edges in the corrected image table. The method further includes updating the correction table by: determining that the first pixel value and neighbor pixel value are not edges, computing the difference between the first and neighbor pixel values, and storing the difference in the correction table. The method further includes providing an output image table.

Abstract: Embodiments are directed to systems and methods for blind image deconvolution. One method of blind image deconvolution comprises capturing a video using an imaging device and measuring a sharpness degradation metric for the video. The method further comprises determining parameters of a point spread function (PSF) corresponding to the sharpness degradation metric using a predetermined equation and performing deconvolution on at least one frame of the video using the PSF and the determined parameters.

Abstract: Bright spots imaged by a forward-looking monochrome video camera during night-time operation of a host vehicle are detected and classified to determine the presence of leading and on-coming vehicles. A specified region-of-interest in each image frame is globally scanned to adaptively detect the bright spot contours, and search windows bounding the larger bright spot contours are locally scanned to adaptively detect individual bright spot contours that were fused in the global scan. A sensitive area within the region-of-interest is locally scanned to adaptively detect dim taillights of a leading vehicle, and path prediction of the host vehicle is used for frame-to-frame tracking of detected spots. Detected spots are classified depending on their location and frame-to-frame movement within the region-of-interest and their glare and pairing characteristics.

Abstract: Bright spots imaged by a forward-looking monochrome video camera during night-time operation of a host vehicle are detected and classified to determine the presence of leading and on-coming vehicles. A specified region-of-interest in each image frame is globally scanned to adaptively detect the bright spot contours, and search windows bounding the larger bright spot contours are locally scanned to adaptively detect individual bright spot contours that were fused in the global scan. A sensitive area within the region-of-interest is locally scanned to adaptively detect dim taillights of a leading vehicle, and path prediction of the host vehicle is used for frame-to-frame tracking of detected spots. Detected spots are classified depending on their location and frame-to-frame movement within the region-of-interest and their glare and pairing characteristics.

Abstract: A vision-based occupant classification method utilizes a static classification routine for achieving highly accurate occupant classification, a dynamic detection routine for quickly responding to changes in occupant position, and a category state change routine for detecting potential changes in occupant category. The static classification routine determines an initial classification of the occupant, after which the dynamic detection routine monitors for changes in occupant position and the category state change routine monitors for a potential change in occupant category. If category state change routine detects a potential change in occupant category, the static classification routine is re-executed to re-classify the occupant. The category state change routine identifies a composite optical flow vector associated with occupant movement, and detects a potential change in occupant category when the composite flow vector crosses one or more pre-defined entry/exit motion gates.

Abstract: A method for containing potentially infectious devices. The potentially infectious devices are deposited is a container to which is added an MDI-based urethane prepolymer-containing composition to at least partially envelope the potentially infectious devices. The prepolymer containing composition is caused to harden through polymerization to immobilize the devices, and to act as a sterilizing or disinfectant agent due in large part to the exothermic nature of the reaction.

Abstract: A method of and apparatus for crushing cans, such as aluminum cans, for facilitated further handling. The apparatus is adapted for crushing the can longitudinally to a partially crushed configuration defined by a collapsed cylindrical sidewall, a bottom wall extending substantially perpendicularly to the axis of the sidewall, and a top wall extending at an acute angle to the axis. The apparatus is further arranged to permit manipulating the partially crushed can to a different disposition wherein the partially crushed can is crushed to a final configuration defined by a further collapsed cylindrical sidewall thereof, a bottom wall extending substantially perpendicularly to the axis of the further collapsed sidewall, and a top wall reversely repositioned at a displacement angle to the original acute angle of the partially crushed can.

Abstract: A method for determining the precise position of the drill bit, in three dimensions, in the earth during a drilling operation, with a minimum of effort and interruption to the drilling process. It provides placing a motion sensor on the drilling apparatus and a plurality of vibration sensors or geophones, positioned in a two-dimension array on the surface of the earth, above the expected position of the drill bit. To make a measurement from which can be determined the position of the bit, the drill stem is raised a selected distance and suddenly released, so that it will fall in the borehole, and the bit will strike the bottom of the hole. This impact will cause an elastic wave to be generated at the bottom of the borehole. The elastic wave will be transmitted through the earth and will be detected by the geophones. The sensor provides information from which can be determined the time when the bit strikes the bottom of the drill hole. This determines the initiation time of the elastic wave.

Abstract: A method for determining the precise position of the drill bit on the bottom of a long drill string in a deep borehole in the earth during a drilling operation, with a minimum of effort and interruption of the drilling process. It provides placing a plurality of geophones in an array on the surface of the earth above the expected position of the drill bit. A frangible object is inserted into the drill pipe near the surface whereby the mud stream will carry it down through the pipe to the bit where it will close off the mud flow through the bit. The mud pressure above the object will increase and when it reaches a high enough value the object will shatter and there will be a sudden flow of mud through the openings of the bit in the form of a shock wave, which will generate a seismic wave in the earth at the location of the bit. The expanding seismic wave will be detected by the geophones at the surface from which the times of arrival at the various geophones can be determined.

Abstract: Method and apparatus for logging the position of a deep borehole filled with liquid in the earth, comprising a long, continuous small diameter pipe adapted to be reeled up on a drum mounted on a vehicle, and means to insert the end of the pipe into the mouth of a borehole and to lower it to any desired depth in the earth. A plurality of geophones are positioned on the surface of the earth in the vicinity of the borehole with conventional amplifying and recording means connected thereto. Means are provided on the vehicle for compressing a liquid or gas, and injecting it into the pipe. On the bottom end of the pipe is a chamber in which this pressurized fluid can be stored. Fast acting valve means are provided which on signal can suddenly open and permit the stored fluid in the chamber to explosively expand into the liquid in the annulus of the borehole.

Abstract: A method and apparatus for determining the position of the bottom end of a long pipe in a deep water-filled borehole, comprising generating a shock wave in the water at the surface end of the pipe, timing the travel of the shock wave down the pipe to the bottom end thereof, where the shock wave will pass into the liquid in the borehole, generating an expanding seismic wave in the earth. Setting out a plurality of geophones on the earth at the surface to detect the arrival of the seismic wave. Recording the geophone signals and determining the arrival times of the seismic wave. Determining the travel times of the seismic wave to each geophone and determining the position of the end of the pipe.