Abstract:
A confocal measuring apparatus (1) includes a light source (10), an optical system (30) configured to receive reflected light from a measurement surface, a light guide part (20) into which a plurality of cores including a first core (26) and a second core (28) is built and configured to propagate the reflected light by the plurality of cores, a displacement amount measurement part (40) including a spectroscope (42) configured to separate the reflected light propagated by the first core into each wavelength components and a detector (44) having a plurality of light receiving elements arranged to correspond to a spectral direction by the spectroscope, and a peripheral image measurement part (60) configured to form an image of the reflected light propagated by the second core on the plurality of image pickup elements and to generate a peripheral image with respect to a measurement position of the measurement surface.
Abstract:
A multi-aperture imaging system comprising a first camera with a first sensor that captures a first image and a second camera with a second sensor that captures a second image, the two cameras having either identical or different FOVs. The first sensor may have a standard color filter array (CFA) covering one sensor section and a non-standard color CFA covering another. The second sensor may have either Clear or standard CFA covered sections. Either image may be chosen to be a primary or an auxiliary image, based on a zoom factor. An output image with a point of view determined by the primary image is obtained by registering the auxiliary image to the primary image.
Abstract:
A multispectral synchronized imaging system is provided. A multispectral light source of the system includes: blue, green and red LEDs, and one or more non-visible light sources, each being independently addressable and configured to emit, in a sequence: at least visible white light, and non-visible light in one or more given non-visible frequency ranges. The system further includes a camera and an optical filter arranged to filter light received at the camera, by: transmitting visible light from the LEDs; filter out non-visible light from the non-visible light sources; and otherwise transmit excited light emitted by a tissue sample excited by non-visible light. Images acquired by the camera are output to a display device. A control unit synchronizes acquisition of respective images at the camera for each of blue light, green light, visible white light, and excited light received at the camera, as reflected by the tissue sample.
Abstract:
A disease diagnosis and skin age measurement apparatus includes: a first light collection unit; a second light collection unit; a spectrometer configured to measure a spectrum of the light which is collected by the second light collection unit; a spectrum data comparison unit for disease diagnosis configured to compare the spectrum measured by the spectrometer and reference spectrum data for disease diagnosis; a CCD; an image data comparison unit configured to compare the digital image converted by the CCD and a reference image; a disease diagnosis unit configured to determine whether there is a disease in the body tissue; and/or a spectrum data comparison unit for skin age measurement configured to measure skin age by comparing a spectrum measured by the spectrometer and reference spectrum data for skin age measurement, wherein the light projected onto the body tissue is collimate light.
Abstract:
A disease diagnosis and skin age measurement apparatus includes: a first light collection unit; a second light collection unit; a spectrometer configured to measure a spectrum of the light which is collected by the second light collection unit; a spectrum data comparison unit for disease diagnosis configured to compare the spectrum measured by the spectrometer and reference spectrum data for disease diagnosis; a CCD; an image data comparison unit configured to compare the digital image converted by the CCD and a reference image; a disease diagnosis unit configured to determine whether there is a disease in the body tissue; and/or a spectrum data comparison unit for skin age measurement configured to measure skin age by comparing a spectrum measured by the spectrometer and reference spectrum data for skin age measurement, wherein the light projected onto the body tissue is collimate light.
Abstract:
System and method configured to operate under conditions when the object being imaged destroys or negates the information which otherwise allows the user to take advantage of optical parallax, configured to elicit luminescence from the same targets in the object as a result of irradiation of these targets with pump light at different, respectively corresponding wavelengths, and acquire optical data from so-illuminated targets through the very same optical path to image the object at different wavelengths. One embodiment enables acquisition, by the same optical detector and from the same object, of imaging data that includes a reflectance image and multiple fluorescence-based images caused by light at different wavelengths, to assess difference in depths of locations of targets within the object.
Abstract:
Disclosed is an imaging apparatus including: a spectroscopic measurement section configured to measure a spectral characteristic of a subject; a spectral image capture section configured to capture a subject image separated into a plurality of colors through color separation to create a plurality of spectral images; and a color separation characteristic determining section configured to determine a color separation characteristic to be used for image capturing of the spectral image capture section, based on the spectral characteristic of the subject measured by the spectroscopic measurement section. The color separation characteristic determining section determines a count of color separations in the image capturing of the spectral image capture section and spectral bands corresponding to each of the color separations.
Abstract:
A laser-based spectroscopy system that combines a distance/proximity standoff sensor, a high-repetition rate laser spectroscopy system, and software with a decision-making algorithm embedded in a processing unit which in combination performs selective firing of the laser when the target object is within an interrogation zone. In a related embodiment, the system provides selective sorting of spectroscopic signals based on information from the standoff signal and from information contained in the spectral signals themselves. The laser emission can be actively controlled while keeping the laser firing, thereby preserving the thermal stability and hence the power of the laser; and the standoff sensor information and the spectral information can be combined to determine the proper relative weighting or importance of each piece of spectral information.
Abstract:
Systems and methods for extracting topographic information from inspected objects to identify defects in the inspected objects. A part to be inspected is illuminated with at least two different colors emitted from an illuminator providing a gradient of light consisting of the at least two different colors. A single color image of the illuminated part to be inspected is acquired, providing a color-coded topographic mapping of the part to be inspected due, at least in part, to the gradient of light. Topographic monochrome views of the part to be inspected may be generated from the single color image. Each view of the topographic monochrome views may enhance a different type of feature or defect present in the part to be inspected which can be analyzed and detected.
Abstract:
Provided is an analysis target region setting apparatus that can accurately set an analysis target region, based on an observation image of a sample obtained with an optical microscope and the like irrespective of texture on the sample surface when the analysis target region is set therein. The analysis target region setting apparatus according to the present invention divides the observation image into a plurality of sub-regions based on pixel information on each pixel constituting the observation image. Subsequently, consolidation information on each sub-region is calculated, and two adjacent sub-regions themselves are consolidated based on the consolidation information. According to this, it is possible to divide the observation image into sub-regions having similar pixel information with a disregard of noise attributed to the shape of a surface and the like. A user designates one sub-region from among the sub-regions finally obtained, as the analysis target region.