Abstract: A biological sample such as a tissue section is stained with one or more quantum dots and possibly other fluorophores (total number of fluorophores N). A camera coupled to a microscope generates an image of the specimen at a plurality of different wavelengths within the emission spectral band of the N fluorophores. An analysis module calculates coefficients C1 . . . CN at each pixel from the set of images and reference spectral data for the N fluorophores. The coefficients C1 . . . CN are related to the concentration of each of the individual fluorophores at each pixel location. Morphological processing instructions find biological structures, e.g., cells, cellular components, genes, etc., in the images of the specimen. Quantitative analysis is performed on the identified biological structures. A display module displays the quantitative analysis results to the user, along with images of the specimen. The images can include images constructed from one or more of the coefficients C1 . . . CN.

Abstract: A biological sample such as a tissue section is stained with one or more quantum dots and possibly other fluorophores (total number of fluorophores N). A camera coupled to a microscope generates an image of the specimen at a plurality of different wavelengths within the emission spectral band of the N fluorophores. An analysis module calculates coefficients C1 . . . CN at each pixel from the set of images and reference spectral data for the N fluorophores. The coefficients C1 . . . CN are related to the concentration of each of the individual fluorophores at each pixel location. Morphological processing instructions find biological structures, e.g., cells, cellular components, genes, etc., in the images of the specimen. Quantitative analysis is performed on the identified biological structures. A display module displays the quantitative analysis results to the user, along with images of the specimen. The images can include images constructed from one or more of the coefficients C1 . . . CN.

Abstract: Described herein are implementations of various technologies for a method for mapping glacial geomorphology. A satellite image of an area of interest may be received. A digital elevation model of the area of interest may be received. Plains and ridges may be identified on the digital elevation model. Swamps and forest may be identified on the satellite image. A glaciological map may be generated having glacial features based on the identified plains, ridges, swamps and forest.

Abstract: A biological sample such as a tissue section is stained with one or more quantum dots and possibly other fluorophores (total number of fluorophores N). A camera coupled to a microscope generates an image of the specimen at a plurality of different wavelengths within the emission spectral band of the N fluorophores. An analysis module calculates coefficients C1 . . . CN at each pixel from the set of images and reference spectral data for the N fluorophores. The coefficients C1 . . . CN are related to the concentration of each of the individual fluorophores at each pixel location. Morphological processing instructions find biological structures, e.g., cells, cellular components, genes, etc., in the images of the specimen. Quantitative analysis is performed on the identified biological structures. A display module displays the quantitative analysis results to the user, along with images of the specimen. The images can include images constructed from one or more of the coefficients C1 . . . CN.

Abstract: Various technologies and techniques are disclosed that improve cursive handwriting recognition. Cursive handwriting input is received from a user. The system performs a hierarchical prototype search as part of a recognition operation. A same space search is performed against a mixed database that has both print and cursive samples. A same space search is also performed against a cursive database that has only cursive samples. The results of these two same space searches are merged into a combined alternate list. The combined alternate list is then used as a constraint for the dynamic time warp searches that are performed against the mixed and cursive databases, respectively. The results of the dynamic time warp searches are also merged into a final combined alternate list, and the combined alternate list is used to make a recognition decision regarding the user's handwritten input.

Abstract: An image-capturing apparatus for capturing an image by using a solid-state image-capturing device may include a face detector configured to detect a face of a human being on the basis of an image signal in a period until an image signal obtained by image capturing is recorded on a recording medium; an expression evaluation section configured to evaluate the expression of the detected face and to compute an expression evaluation value indicating the degree to which the detected face is close to a specific expression in relation to expressions other than the specific expression; and a notification section configured to notify notification information corresponding to the computed expression evaluation value to an image-captured person.

Abstract: In an image data output processing apparatus of the present invention, an image matching section is capable of determining whether a similarity exists between each image of an N-up document and a reference document when input image data is indicative of the N-up document. An output process control section is capable of regulating an output process of each image in accordance with a result of determining whether the similarity exists between each image of the N-up document and the reference document. This allows detecting with high accuracy a document image under regulation on the output process and regulating the output process, when the input image data is indicative of an N-up document and includes the document image under regulation on the output process.

Abstract: An image-capturing apparatus for capturing an image by using a solid-state image-capturing device may include a face detector configured to detect a face of a human being on the basis of an image signal in a period until an image signal obtained by image capturing is recorded on a recording medium; an expression evaluation section configured to evaluate the expression of the detected face and to compute an expression evaluation value indicating the degree to which the detected face is close to a specific expression in relation to expressions other than the specific expression; and a notification section configured to notify notification information corresponding to the computed expression evaluation value to an image-captured person.

Abstract: In a method and system of service management, a radiative sensor is positioned to observe an area of interest. At least one frame of data of the area of interest is electronically acquired from the radiative sensor. The acquired frame of data is electronically processing to determine the presence or absence of at least one object in the area of interest. Based on the presence or absence of the object in the area of interest, (1) an alert is electronically caused to be generated in response to also electronically detecting another object in another area of interest, and/or (2) a timer is electronically caused to initiate or terminate counting a period of time.

Abstract: Systems and methods for selecting a mask system for a patient are provided. Certain example embodiments include generating 3D contours of patients and selecting mask systems based at least on these contours. These contours may be generated by using, for example, a cushion of translatable pins, a nasal cannular scanning device, and/or a shadow stereopsis sensor. Certain other example embodiments allow images and/or videos to be captured and optionally synchronized. Then, images of various mask systems may be overlaid to determine how well a mask system fits. In still other embodiments, a user can hold a transparency corresponding to a mask design in front of the patient's face to determine how well a mask system fits.

Abstract: A data processing apparatus includes a feature-value calculating unit that calculates an image feature value indicating a feature of image data, a case database including a case set including a correspondence of image feature values and functions, and an optimum-function predicting unit that predicts an optimum function based on the case database and the image feature value calculated by the feature-value calculating unit. Due to the optimum-function predicting unit, work efficiency of a user can be improved.

Abstract: A biological sample such as a tissue section is stained with one or more quantum dots and possibly other fluorophores (total number of fluorophores N). A camera coupled to a microscope generates an image of the specimen at a plurality of different wavelengths within the emission spectral band of the N fluorophores. An analysis module calculates coefficients C1 . . . CN at each pixel from the set of images and reference spectral data for the N fluorophores. The coefficients C1 . . . CN are related to the concentration of each of the individual fluorophores at each pixel location. Morphological processing instructions find biological structures, e.g., cells, cellular components, genes, etc., in the images of the specimen. Quantitative analysis is performed on the identified biological structures. A display module displays the quantitative analysis results to the user, along with images of the specimen. The images can include images constructed from one or more of the coefficients C1 . . . CN.

Abstract: An image processing method is disclosed that is capable of efficient information extraction when embedding information in an image by using plural information embedding methods. The image processing method includes steps of embedding target information in the image by using one or more methods selected from plural information embedding methods; and embedding identification information in the image for identifying the selected one or more methods. The identification information is embedded in a method allowing an amount of the embedded information to be less than an amount of the embedded information in each of the selected one or more methods.

Abstract: An image-capturing apparatus for capturing an image by using a solid-state image-capturing device may include a face detector configured to detect a face of a human being on the basis of an image signal in a period until an image signal obtained by image capturing is recorded on a recording medium; an expression evaluation section configured to evaluate the expression of the detected face and to compute an expression evaluation value indicating the degree to which the detected face is close to a specific expression in relation to expressions other than the specific expression; and a notification section configured to notify notification information corresponding to the computed expression evaluation value to an image-captured person.

Abstract: Fluorescently marked targets bind to a substrate 230 synthesized with polymer sequences at known locations. The targets are detected by exposing selected regions of the substrate 230 to light from a light source 100 and detecting the photons from the light fluoresced therefrom, and repeating the steps of exposure and detection until the substrate 230 is completely examined. The resulting data can be used to determine binding affinity of the targets to specific polymer sequences.

Abstract: A pattern matching method for use in manufacturing a semiconductor memory device increases a pattern matching rate between a GDS image and an SEM image. The pattern matching method includes extracting a scanning electron microscope (SEM) image and a graphic data system (GDS) image to perform a pattern matching; performing a two-dimensional Fourier transform (FFT) for the extracted GDS image and analyzing a low spatial frequency; deciding whether or not a pattern is a repeated pattern or non-repeated pattern by using the analyzed low spatial frequency; and limiting an X/Y range for a pattern matching when the decision result is for the repeated pattern, and then performing the pattern matching between the SEM image and the GDS image.

Abstract: An imaging apparatus includes at least two living-body detecting units, a imaging unit, and a drive unit. The living-body detecting units are provided at a imaging position where a part of a living body is laid, in conformity with the shape of the part of the living body. The imaging unit images the part of the living body, which is laid at the imaging position. The drive unit drives the imaging unit when all of the at least two living-body detecting units detect the living body.

Abstract: A spatial motion calculation apparatus includes an image position relation calculation unit that calculates first similarities based on an image position relation between an inputted groups of feature points 1 and 2, a spatial position relation calculation unit that calculates second similarities based on an spatial position relation between said inputted groups, a feature descriptor relation calculation unit that calculates third similarities based on a feature descriptor relation between said inputted groups, and a spatial motion calculation unit that estimates the spatial motion based on the result that integrates the first to third similarities.

Abstract: Input MRI brain images are positioned so as to correct a spatial deviation, gray matter tissues are extracted from these images to effect a first image smoothing, the thus-obtained images are subjected to anatomical standardization, a second image smoothing is effected, the gray level is corrected, brain images after correction are statistically compared with MRI brain images of normal cases, thereby providing the diagnosis result. In this instance, the brain images are automatically checked for input images regarding the resolution dot density and the like, the result of gray matter tissue extraction and the result of anatomical standardization, by which specifications of input images and the like can be confirmed objectively and automatically to make a diagnosis automatically by image processing. Further, an ROI-based analysis is made to provide the analysis result as the diagnosis result.

Abstract: A non-contact passive ranging system wherein a first imager on a platform is focused on a first object and a second imager on the platform is also focused on the first object. The optical path from the first object to the first imager is configured to be shorter than the optical path from the object to the second imager. Processing circuitry is responsive to an output of the first imager and an output of the second imager as relative motion is provided between the platform and the first object and is configured to calculate the distance from the platform to the object.