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- W967574498 abstract "It is relatively easy to apply Fuzzy logic for visual recognition of objects which we subjectively observe everyday. In pattern recognition, the values for and density of objects is usually larger than 2. (*Even if a figure is in black and white and value 2, it would be recognized and processed as value 3 by processing its pixel all together for the sake of processing efficiency.) Therefore, multi-value fuzzy logic is desirable. Especially, the three dimensional objects we have to deal with now have shadows and reflections. Hence, they will never be of value 2. Because of the large data, visual images are usually 2-valualized in order to save memory space and time. However, it could create disintegration of the data as it is. Although density is usually averaged (smoothed, equalized) in its process, human make feature-selection (drawing) of max-calculation-process paying to shining spots, being dazzled by halation. Therefore, the max-calculation-process of fuzzy logic is suitable for human pattern recognition." @default.
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- W967574498 date "1995-01-01" @default.
- W967574498 modified "2023-09-27" @default.
- W967574498 title "Analysis and Evaluation on Fuzzy Object Recognition" @default.
- W967574498 doi "https://doi.org/10.1007/978-94-011-0635-1_6" @default.
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