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- W2007807270 abstract "The problem considered here is how to find similarities between digital images useful in the design of cybernetic vision systems. The solution to this problem stems from recent neighborhood-based vision systems research. A neighborhood is viewed in the context of a covering of a visual space defined by a tolerance relation. Determination of neighborhoods and tolerance classes leads to a highly practical tolerance near-set approach in vision system design. The contribution of this article is threefold: an algorithm for finding tolerance classes, a new measure for quantifying the similarity between tolerance classes, and a practical application in the design of cybernetic vision systems." @default.
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- W2007807270 date "2011-01-11" @default.
- W2007807270 modified "2023-10-16" @default.
- W2007807270 title "NEIGHBORHOOD-BASED VISION SYSTEMS" @default.
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- W2007807270 doi "https://doi.org/10.1080/01969722.2011.532642" @default.
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