基于自适应神经模糊系统的色彩贴近度评价

2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2019-10-01 DOI:10.1109/AICT47866.2019.8981753

K. Aida-zade, J. Hasanov

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引用次数: 1

摘要

在色彩处理、分割和识别系统中，特征和准则的选择起着至关重要的作用。已知的颜色分类方法大多依赖于经验定义的公式，由于人类视觉的主观性，并不能满足所有应用领域。提出了一种基于自适应神经模糊推理系统(ANFIS)的色彩贴近度评价系统。建议的方法允许根据应用领域或特定专家来具体测量接近度。通过从BSCS500数据库中选取图形图像，验证了该方法的可行性。

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Adaptive Neuro-Fuzzy System based Color Closeness Evaluation

The selection of the proper features and criteria play important role in color processing, segmentation, and recognition systems. The known methods of the color classification mostly rely on empirically defined formulas which do not satisfy all application areas due to the subjective nature of the human vision. This paper suggests a color closeness evaluation system that based on Adaptive Neuro-Fuzzy Inference System(ANFIS). The suggested approach allows to specifically gauge the closeness according to the application area or the particular expert. The feasibility of the method is tested on graphical images selected from BSCS500 database.

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2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)

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