Abstract: A method of detecting a urine test strip from a photographed image of the urine test strip is disclosed. The disclosed method of detecting a urine test strip includes: receiving input of a urine test strip image, which is a photographed image of a urine test strip including a first and a second marker; detecting a first and a second marker image within the urine test strip image; detecting an area between the first and second marker images within the urine test strip image; and detecting a reagent pad and a colorimetric table in the urine test strip image by matching an area of interest, which represents a position of the reagent pad and the colorimetric table in the urine test strip image, with the area between the first and second marker images.

Abstract: A method of detecting a urine test strip from a photographed image of the urine test strip is disclosed. The disclosed method of detecting a urine test strip includes: receiving input of a urine test strip image, which is a photographed image of a urine test strip including a first and a second marker; detecting a first and a second marker image within the urine test strip image; detecting an area between the first and second marker images within the urine test strip image; and detecting a reagent pad and a colorimetric table in the urine test strip image by matching an area of interest, which represents a position of the reagent pad and the colorimetric table in the urine test strip image, with the area between the first and second marker images.

Abstract: The present invention relates to a compact video generation device and method, and a recording medium in which a computer program is recorded. A compact video generation device according to the present invention may comprise: an object extraction unit for separating a photographed image into a background image and a foreground image and extracting objects included in the separated foreground image; an object collision calculation unit for separately generating an occupation matrix having a changed scale thereof from the foreground image, and calculating collision by using a calculation between occupation matrices of different objects, when a collision occurs between the extracted objects; an object rearrangement unit for rearranging the objects within a range in which no collision visually occurs; and a summary image generation unit for generating a summary image by combining the photographed background image and the rearranged objects.

Abstract: The present invention relates to a compact video generation device and method, and a recording medium in which a computer program is recorded. A compact video generation device according to the present invention may comprise: an object extraction unit for separating a photographed image into a background image and a foreground image and extracting objects included in the separated foreground image; an object collision calculation unit for separately generating an occupation matrix having a changed scale thereof from the foreground image, and calculating collision by using a calculation between occupation matrices of different objects, when a collision occurs between the extracted objects; an object rearrangement unit for rearranging the objects within a range in which no collision visually occurs; and a summary image generation unit for generating a summary image by combining the photographed background image and the rearranged objects.

Abstract: Provided is a gaze tracking apparatus for a user wearing a vision aid, the apparatus including a lighting element unit including a first infrared lighting element and a second infrared lighting element to radiate an infrared light to a user, an image acquirer to acquire an eye image of the user, the eye image including a first corneal reflection light, a second corneal reflection light, a first lens reflection light, and a second lens reflection light, and a processor to turn off the second infrared lighting element when interference occurs between the second lens reflection light and the first corneal reflection light in the acquired eye image, and to compute a gaze position of the user based on user calibration information, and coordinates of the first corneal reflection light.

Abstract: A gaze tracking apparatus and method are provided that may calculate a three-dimensional (3D) position of a user using at least two wide angle cameras, may perform panning, tilting, and focusing based on position information of the user and eye region detection information, using a narrow angle camera, may detect pupil center information and corneal reflected light information from an eye image acquired through an operation of the narrow angle camera, and may finally calculate gaze position information from the pupil center information and the corneal reflected light information.

Abstract: Disclosed are an apparatus and method for measuring traffic of moving objects by analyzing an image expressed in a spatiotemporal domain. The traffic measuring apparatus includes a feature extraction unit that sets a virtual measurement line in an input image, generates a spatiotemporal domain image expressing the input image in a spatiotemporal domain based on the virtual measurement line, and extracts image features from the spatiotemporal domain image, and a traffic estimation unit that estimates the number of objects passing the virtual measurement line by accumulating the image features over time. Accordingly, the traffic measuring apparatus may accurately measure in real-time the traffic of objects such as pedestrians through analysis of the input image so as to be utilized in a variety of fields.

Abstract: Provided is a gaze tracking apparatus for a user wearing a vision aid, the apparatus including a lighting element unit including a first infrared lighting element and a second infrared lighting element to radiate an infrared light to a user, an image acquirer to acquire an eye image of the user, the eye image including a first corneal reflection light, a second corneal reflection light, a first lens reflection light, and a second lens reflection light, and a processor to turn off the second infrared lighting element when interference occurs between the second lens reflection light and the first corneal reflection light in the acquired eye image, to and to compute a gaze position of the user based on user calibration information, and coordinates of the first corneal reflection light.

Abstract: An image processing method and an image processing apparatus are provided. The image processing method includes dividing the image into a plurality of regions; setting a portion of the divided regions to a first region of interest; detecting a candidate region for a target from the first region of interest; determining if the detected candidate region corresponds to the target; detecting a target region by using the candidate region if the candidate region corresponds to the target; estimating a pose of the target by using the detected target region; and performing modeling with respect to the target.

Abstract: A gaze tracking apparatus and method are provided that may calculate a three-dimensional (3D) position of a user using at least two wide angle cameras, may perform panning, tilting, and focusing based on position information of the user and eye region detection information, using a narrow angle camera, may detect pupil center information and corneal reflected light information from an eye image acquired through an operation of the narrow angle camera, and may finally calculate gaze position information from the pupil center information and the corneal reflected light information.

Abstract: An inspection system and method for paint coated film of steel bridge using image processing technique including a paint coated film image storing process that stores in a data base (DB) unit a paint coated film image information of a steel bridge photographed by the inspection system; a paint coated film information loading process that loads information stored in the DB unit through calling a file containing the paint coated film image information to be inspected; a scale and rust extracting process that displays a scale part and a rust part on an output unit after detecting the rust part and the scale part by use of the inspection system and storing a calculated percentage of deteriorated are in the DB unit; and a repainting information calculating process that calculates a time for repainting and provide an optimum method for paint coating by deteriorated image information of paint coated film.

Abstract: A method is for processing a Bayer domain signal of an image sensor to model an integrated noise in the image sensor. The method includes receiving the Bayer domain signal of the image signal, setting a plurality of noise models using the Bayer domain signal, and determining an integrated noise level in the image sensor based on the plurality of noise models. The noise models include a dark-current noise model, a shot noise model and a fixed-pattern noise model.

Abstract: A method of extracting information parts, and a recorded medium recording the method, for retrieving image sequence data are disclosed. According to an embodiment of the present invention, image frames included in an image sequence are converted to frames, in a quantity of n, including only the object that is separated from a background, and the corresponding shape descriptors, in a quantity of n, are extracted. The shape descriptors, in a quantity of n, are aligned according to a temporal order, to generate a shape sequence, which is frequency-converted along the time axis to obtain conversion coefficients having frequency information. Using coefficients in a low frequency area among the obtained conversion coefficients, a shape sequence descriptor is extracted. With this invention, video data expressing the motion of an object can be captured as an image sequence, and the similarity between video data can be distinguished by extracting information parts from each image sequence.

Abstract: There is provided a processing method of an inspection system for paint coated film of steel bridge using image processing technique comprising: a paint coated film image storing process that stores in a data base (DB) unit a paint coated film image information of a steel bridge photographed by the inspection system; a paint coated film information loading process that loads paint coated film image information through calling a file containing the paint coated film image information to be inspected which is stored in the DB unit; a scale and rust extracting process that displays a scale part and a rust part on an output unit after detecting the rust part and the scale part by an image processing process of the inspection system for paint coated film and storing a calculated percentage of deteriorated are in the DB unit; and a repainting information calculating process that calculates a time for repainting and provide an optimum method for paint coating by deteriorated image information of paint coated film.

Abstract: A method is for processing a Bayer domain signal of an image sensor to model an integrated noise in the image sensor. The method includes receiving the Bayer domain signal of the image signal, setting a plurality of noise models using the Bayer domain signal, and determining an integrated noise level in the image sensor based on the plurality of noise models. The noise models include a dark-current noise model, a shot noise model and a fixed-pattern noise model.

Abstract: Example embodiments are directed to an apparatus and method for enhancing an image. The method may include extracting contrast data from color image data, generating low resolution image data and band pass image data from the contrast data using a Laplacian pyramid, generating global brightness enhanced image data from the low resolution image data to enhance an overall brightness, generating local contrast ratio enhanced image data from the band pass image data to enhance a local contrast, and/or generating enhanced contrast data from the global brightness enhanced image data and the local contrast ratio enhanced data. The apparatus may include circuitry for performing similar operations.

Abstract: A method of extracting information parts, and a recorded medium recording the method, for retrieving image sequence data are disclosed. According to an embodiment of the present invention, image frames included in an image sequence are converted to frames, in a quantity of n, including only the object that is separated from a background, and the corresponding shape descriptors, in a quantity of n, are extracted. The shape descriptors, in a quantity of n, are aligned according to a temporal order, to generate a shape sequence, which is frequency-converted along the time axis to obtain conversion coefficients having frequency information. Using coefficients in a low frequency area among the obtained conversion coefficients, a shape sequence descriptor is extracted. With this invention, video data expressing the motion of an object can be captured as an image sequence, and the similarity between video data can be distinguished by extracting information parts from each image sequence.

Abstract: A method for extracting a shape variation descriptor from image sequence data for content-based image retrieval is disclosed. The method for extracting the shape variation descriptor from image sequence data for content-based image retrieval, image sequence data representing variation of object through a plurality of frames, the method includes the steps of creating a frame including variation information and shape information by accumulating the plurality of frames, the centroid of object regions in each frame aligned; and extracting shape descriptor from the frame.

Abstract: The present invention relates to method for processing color image on image processing system. The method for processing color image on image processing system includes the steps of: extracting from the color image hue, luminance and saturation which are the factors of the color image; setting the saturation factor as predetermined constant by normalizing the saturation factor; transforming the color image into complex number using the hue factor and luminance factor. Accordingly, an image processing system can reduce the load of color image processing by way of present invention that reduces the redundancy between the factors of color images through transforming the three factors of the color image into complex number.

Abstract: A content-based image retrieval system retrieves an image based on an angular radial transform (ART) image descriptor. In the content-based image retrieval system, A method for retrieving an image includes the steps of: a) receiving a query image; b) extracting a query image descriptor from the query image based on at least an angular component and a radial component of the query image; c) comparing the query image descriptor with an image descriptor stored on the database; and d) determining a degree of a similarity between the query image descriptor and the image descriptor stored on the database.