Image Analysis
Image analysis is the process of extracting meaningful information from images using digital image processing techniques. It involves the use of algorithms and mathematical models to analyze, interpret, and understand images. Image analysis is used in a wide range of applications, including medical imaging, remote sensing, surveillance, and industrial inspection. The process of image analysis typically involves several steps, including image acquisition, pre-processing, segmentation, feature extraction, and classification. Image analysis techniques can be divided into two categories: supervised and unsupervised. Supervised techniques require the use of labeled data to train a model, while unsupervised techniques do not require labeled data and rely on clustering and other statistical methods to analyze images.
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