Abstract: An image compensation correction method and a banknote recognition and detection device. The image compensation correction method is applied to the banknote recognition and detection device. The banknote recognition and detection device comprises: a micro controller; a programmable logic device which is connected to the micro controller; an AD chip, a drive circuit and a static random access memory which are connected to the programmable logic device respectively; and a contact image sensor which is connected to the AD chip and the drive circuit respectively. A compensation correction lookup table is pre-stored in the static random access memory, and the programmable logic device can acquire banknote compensation correction data corresponding to a banknote image pixel point by accessing the static random access memory, and send same to the micro controller.

Abstract: A method and a system for generating adaptive fast forward of egocentric videos are provided here. The method may include the following steps: obtaining a video footage containing a sequence of image frames captured by a non-stationary capturing device; estimating a moving direction of the non-stationary capturing device for a plurality of frames in the sequence of image frames; and generating a shortened video footage having fewer frames than said video footage, by sampling the sequence of image frames, wherein the sampling is carried out by selecting specific image frames and that minimize an overall cost associated with a deviation from a specific direction related to the moving direction, calculated for each of said plurality of image frames.

Abstract: An image processing method includes configuring a noise reduction filter for each of pixels in an image in accordance with a linear noise model of the image, based on different levels of a noise effect caused to a corresponding pixel, among the pixels, by other pixels, among the pixels and adjacent to the corresponding pixel. The method further includes performing noise reduction filtering on each of the pixels, using the noise reduction filter for each of the pixels, to obtain a noise reduced image.

Abstract: Embodiments relate generally to new and useful systems and methods for processing digital images of items to facilitate item transport and/or handling. In some embodiments, a method is provided for operating an image processing and item transport system having a computing system that includes a digital image processing component. In some embodiments, the method can involve the digital image processing component acquiring a digital image and processing the digital image to obtain a digital representation of an item represented in the digital image, to estimate a dimensional size and/or weight of the item represented in the digital image, and to convert the digital image to a format suitable for outputting.

Abstract: Methods and systems for setting up a classifier for defects detected on a wafer are provided. One method includes generating a template for a defect classifier for defects detected on a wafer and applying the template to a training data set. The training data set includes information for defects detected on the wafer or another wafer. The method also includes determining one or more parameters for the defect classifier based on results of the applying step.

Abstract: This shape data generation method include: setting an input shape that has a simple shape that has a same topology as the target shape for a target shape that is a shape of a transformation target identified from image data; identifying first vertices that satisfy a predetermined condition including a first condition that a normal line of a certain vertex of the plural vertices crosses with the target shape, among plural vertices of the input shape; transforming the input shape so that a first vertex is moved in a direction of a normal line of the first vertex by a first distance that is shorter than a distance up to the target shape; and performing the identifying and the transforming a predetermined number of times while changing the input shape after the transforming as the input shape to be processed.

Abstract: One or more embodiments of the invention relate to an image processing system and method for detail enhancement and noise reduction, in which the method includes: (a) an original image is created, (b) an information measure is calculated on the basis of the original image, (c) a weighting measure is calculated on the basis of the information measure, (d) the original image is low-pass filtered with a low-pass filter to form a low-pass filtered image, (e) a high-pass filtered image is calculated by subtracting the low-pass filtered image from the original image, (f) a detail-enhanced and noise-reduced image is obtained by a high-pass image scaled with the weighting measure being added to the low-pass image. One or more embodiments of the invention additionally relate to an image processing device comprising an image recording device, an image processing unit and an image display unit.

Abstract: A method and apparatus for determining a three-dimensional orientation of a human head. The method includes first interposing a left and a right anthropological baselines on a patient's face, each anthropological baseline connecting an orbitale point and an auricular point on a corresponding side of the patient's face. A headgear unit having a pair of temple elements and a from housing rotatably attached to the temple elements, where the front housing includes at least two cameras and a 3D compass all movable within the front housing, is then positioned on a patient's head. Each of the two cameras is adjusted such that its view field picks up one of the two anthropological baselines on the patient's face. These view fields of the two cameras are then used to construct a Human Skull Base Plane as a plane formed by the left and right anthropological baselines when these anthropological baselines are parallel and aligned.

Abstract: A method performed by an electronic device is described. The method includes interleaving multiple input image channels to produce an interleaved multi-channel input. The method also includes loading the interleaved multi-channel input to a single-instruction multiple data (SIMD) processor. The method further includes convolving the interleaved multi-channel input with a multi-channel filter.

Abstract: Provided are a method of deciding the risk of obstructive sleep apnea syndrome capable of deciding the risk of a subject to become obstructive sleep apnea syndrome objectively and easily in a short time, its program and an X-ray diagnostic system having the program. The method includes detecting at least the hyoid bone, sella S, gonion Go and menton Me by lateral head and neck radiography of the subject; and deciding whether the center of the body or the whole of the body of the detected hyoid bone is included in an area above a perpendicular drawn toward the extended line of the segment S-Go from Me or not.

Abstract: Described is a system for object tracking with integrated motion-based object detection and enhanced Kalman-type filtering. The system detects a location of a moving object in an image frame using an object detection MogS module, thereby generating an object detection. For each image frame in a sequence of image frames, the system predicts the location of the moving object in the next image frame using a Kalman filter prediction module to generate a predicted object location. The predicted object location is refined using a Kalman filter updating module, and the Kalman filter updating module is controlled by a controller module that monitors a similarity between the predicted object location and the moving object's location in a previous image frame. Finally, a set of detected moving object locations in the sequence of image frames is output.