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- W2034137346 abstract "The number of nodes of an edge quadtree representing a figure is the measure of its space complexity. This number depends on the figure's shape, its resolution and its precision. The goal of this work is to find a function which yields the number of nodes of an edge-quadtree when these three parameters are specified in input. A unique value to represent both the resolution and the precision is used. To measure the shape of the image we use the fractal dimension and a methodology to calculate the fractal dimension and the fractal measure in the case of a discrete image is proposed. Given these three parameters we use a neural network to approximate the function. The computational results show the effectiveness of this approach.© (1995) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
- W2034137346 created "2016-06-24" @default.
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- W2034137346 date "1995-11-21" @default.
- W2034137346 modified "2023-09-23" @default.
- W2034137346 title "<title>Fractals and neural networks in evaluating an edge-quadtree space complexity</title>" @default.
- W2034137346 doi "https://doi.org/10.1117/12.227253" @default.
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