Share Email Print
cover

Proceedings Paper

Color classification method of natural scene based on fuzzy inference
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 31 January 2020
PDF: 6 pages
Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 1142702 (31 January 2020); doi: 10.1117/12.2547249
Show Author Affiliations
Xiaofei Sun, Northeast Normal Univ. (China)
Lianming Wang, Hainan Tropical Ocean Univ. (China)


Published in SPIE Proceedings Vol. 11427:
Second Target Recognition and Artificial Intelligence Summit Forum
Tianran Wang; Tianyou Chai; Huitao Fan; Qifeng Yu, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray