Classifying image features
A technology of images and image piles, applied in the directions of instruments, computing, character and pattern recognition, etc.
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[0037] The methods and systems disclosed herein can be used to classify a wide variety of biological or other samples based on spectral and / or structural features present on images of the samples. The classification method includes at least some steps performed in an automated fashion using machine vision algorithms and techniques. A collection of images of samples is obtained and may be transformed before being submitted to an automatic classifier. Transformation of image sets may include mathematical transformations, such as conversion from intensity to optical density; spectral unmixing and operations, computation of composite images; and formation of classified data sets that may include only a subset of available sample images. The classified data set is then submitted to a machine-based classifier, which can be a neural network or another type of classifier. Image pixels may be classified multiple times, and a final classification is performed based o...
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