论文信息 - The advanced distributed region of interest tool

The advanced distributed region of interest tool

Abstract This paper details recent work on the use of low-level features for the identification of regions of interest in images. Using-low-level features, the system classifies regions in the image via probability densities estimates for each class. These densities are estimated semi-parametrically, giving the system great flexibility in the functional form of the densities. This paper details the environment designed to allow easy implementation of pattern recognition algorithms.

David J. Marchette | Jeffrey L. Solka | R. Guidry | John Green

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