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- W3048448336 abstract "This paper presents the development of Fuzzy Inference Systems of Mamdani and Sugeno to calculate the depth of field in a digital camera. A method is proposed to find the minimum distance from the object to the camera where the image has the greatest depth of field, which is determined by the focal length and the diaphragm aperture. To do this, membership functions for these three variables are designated. The linguistic rules in the form of IF-THEN to correlate the inputs (focal length and diaphragm aperture) with the output (minimal distance) are shown. The results of the Mamdani and Sugeno Fuzzy Inference Systems with graphs and contour surfaces are presented, and they were analyzed and compared with theoretical level curves. The proposed method avoids the use of complex algorithms that require a large memory capacity and extensive processing in a common digital camera. The Matlab® Fuzzy Logic Toolbox was used for this work." @default.
- W3048448336 created "2020-08-18" @default.
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- W3048448336 date "2020-08-11" @default.
- W3048448336 modified "2023-09-27" @default.
- W3048448336 title "Calculation of the Depth of Field in Digital Camera Using Fuzzy Inference Systems" @default.
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- W3048448336 doi "https://doi.org/10.1007/978-3-030-53021-1_37" @default.
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