22 July 1985 Artificial Intelligence In Image Processing
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Proceedings Volume 0528, Digital Image Processing; (1985) https://doi.org/10.1117/12.946419
Event: 1985 Los Angeles Technical Symposium, 1985, Los Angeles, United States
Abstract
Image processing technology concentrates on the development of data extraction techniques applied toward the statistical classification of visual imagery. In classical image processing systems, an image is [1] preprocessed to remove noise, [2] segmented to produce close object boundaries, [3] analyzed to extract a representative feature vector, and [4] compared to ideal object feature vectors by a classifier to determine the nearest object classification and its associated confidence level. This type of processing attempts to formulate a two-dimensional interpretation of three-dimensional scenes using local statistical analysis, an entirely numerical process. Symbolic information dealing with contextual relationships, object attributes, and physical constraints is ignored in such an approach. This paper describes a number of artificial intelligence techniques which allow symbolic information to be exploited in conjunction with numerical data to improve object classification performance.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John F. Gilmore, John F. Gilmore, } "Artificial Intelligence In Image Processing", Proc. SPIE 0528, Digital Image Processing, (22 July 1985); doi: 10.1117/12.946419; https://doi.org/10.1117/12.946419
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