Multi-color recognition based on neighborhood contrast

In this work, we propose a new multi-color recognition method based on color constancy model, and present a realtime machine vision-based auto-sorting system corresponding to academic and industrial needs. The proposed color constancy computation method is computed by neighborhood contrast, and furt...

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Bibliographic Details
Published in2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) pp. 1 - 5
Main Authors Qilin Bi, Xiaomin Jiang, Xiaoguang Liu, Taobo Cheng, Yulong Zhu, Miaohui Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Cameras
Color
color constancy
Color recognition
Image color analysis
Lighting
machine vision
Robots
Rough surfaces
Sorting
sorting system
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Summary:In this work, we propose a new multi-color recognition method based on color constancy model, and present a realtime machine vision-based auto-sorting system corresponding to academic and industrial needs. The proposed color constancy computation method is computed by neighborhood contrast, and furthermore the relationship between the object color and the color constancy parameters is established. Extensive simulation results show that the proposed color recognition algorithm is robust and efficient, and the sorting system can intelligently and accurately distinguish the multi-color objects under the dynamic natural lighting conditions.
DOI:10.1109/ICSPCC.2017.8242417