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• W2100631314 abstract "In this paper, the feeling of human to images is analyzed using the set theory and the processes are implemented based on the inference method in order to construct a fuzzy-based image processing and understanding system. Owing to the linguistic meaning of a set, we can handle the global feeling of an image instead of the numerical information extraction by some image transformation and pixel statistics. An image understanding process is proposed to label and extract the target object of the image, which is only described by linguistic assignment. The objects in the image are labeled by a membership grade, and the fuzzy object is recognized and extracted by the inference method. We propose the two-phase module to implement the idea. Two steps include the training and processing steps, the latter one involves two phases: the global feature extraction phase and the process phase. A basic system is constructed, and the feasibility has been confirmed according to the satisfactory performance. >" @default.
• W2100631314 created "2016-06-24" @default.
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• W2100631314 date "2002-12-17" @default.
• W2100631314 modified "2023-10-17" @default.
• W2100631314 title "Image processing and understanding based on the fuzzy inference approach" @default.
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• W2100631314 doi "https://doi.org/10.1109/fuzzy.1994.343757" @default.
• W2100631314 hasPublicationYear "2002" @default.
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