Color classification method of natural scene based on fuzzy inference

Xiaofei Sun; Lianming Wang

doi:10.1117/12.2547249

31 January 2020 Color classification method of natural scene based on fuzzy inference

Xiaofei Sun, Lianming Wang

Proceedings Volume 11427, Second Target Recognition and Artificial Intelligence Summit Forum; 1142702 (2020) https://doi.org/10.1117/12.2547249
Event: Second Target Recognition and Artificial Intelligence Summit Forum, 2019, Changchun, China

Abstract

This paper presents a color recognition algorithm for natural scene images based on HSV color space.In this algorithm,different fuzzy membership are constructed on the hue channel,saturation channel and value channel.By establishing the fuzzy rule base,the Mamdani fuzzy inference method is selected,and the color images are divided into eleven kinds according to the human psychological perception of color.This algorithm can accurately identify the color of the image with rich color distribution and partial background color close to the target color. Experiments show that the algorithm's color recognition and segmentation results are in good agreement with human subjective visual perception, which effectively improves the color recognition accuracy of the robot.

Citation Download Citation

Xiaofei Sun and Lianming Wang "Color classification method of natural scene based on fuzzy inference", Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 1142702 (31 January 2020); https://doi.org/10.1117/12.2547249

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