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Universal analytical forms for modeling image probabilities - Pattern - stat fsu

Universal analytical forms for modeling image probabilities - Pattern - stat fsu 2025

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The document presents a study on universal analytical forms for modeling image probabilities using Bessel K forms. It discusses a spectral approach to image analysis, where images are decomposed with bandpass filters and probability models are applied to the resulting spectral components. The authors establish relationships between Bessel parameters and imaged objects, propose a pseudometric for quantifying image similarities, and demonstrate applications in clutter classification and target recognition. The paper emphasizes the effectiveness of Bessel K forms in capturing the statistical properties of various types of images, including video, infrared, and range images.

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