摘要:
The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.
摘要:
An improved method and system for classifying tissue samples comprises determining a tissue type classification based on spectral data of training samples of known target classification. Denoised spectral data is generated from the spectral data based on the tissue type classification. A classifier is then trained using the denoised spectral data to classify the tissue samples.
摘要:
The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.
摘要:
The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.
摘要:
A hyper-spectral imaging system comprises imaging foreoptics (1020) to focus on a scene or object of interest (1010) and transfer the image of said scene or object (1010) onto the focal plane of a spatial light modulator (1030), a spatial light modulator (1030) placed at a focal plane of said imaging foreoptics (1020), an imaging dispersion device (1040) disposed to receive an output image of the spatial light modulator (1030), and an image collecting device disposed to receive the output of the imaging dispersion device (1040).
摘要:
An apparatus and method for multispectral imaging comprising an array of filters in a mosaic pattern, a sensor array and an acquisition and processing module. The sensor array being disposed to receive an image that has been filtered by the array of filters. The acquisition and processing module processes the output of the sensor array (or mosaic acquired data) to provide a processed image. The acquisition and processing module processes the mosaic acquired data by performing first interpolation on the mosaic acquired data by the sensor array to provide a first approximation and performing second interpolation on the values of the first approximation to provide a second approximation.