JOURNAL ARTICLE

Color Recognition Based on C4.5 Decision Tree Algorithm

Abstract

This paper presents an approach to color recognition using C4.5 decision tree algorithm.Before being employed to identify the color, the C4.5 decision tree is trained with sample images under scenes of varied background and illumination.The experimental results show the effectiveness and robustness of the method for color segmentation under the changing environments.

Keywords:
Computer science Decision tree ID3 algorithm Artificial intelligence Decision tree learning Pattern recognition (psychology) Incremental decision tree Algorithm

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
14
Refs
0.13
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

Related Documents

JOURNAL ARTICLE

Very Fast C4.5 Decision Tree Algorithm

Anis CherfiKaouther NouiraAhmed Ferchichi

Journal:   Applied Artificial Intelligence Year: 2018 Vol: 32 (2)Pages: 119-137
JOURNAL ARTICLE

A parallel C4.5 decision tree algorithm based on MapReduce

Yashuang MuXiaodong LiuZhihao YangXiaolin LiuXiaolin LiuXiaolin Liu

Journal:   Concurrency and Computation Practice and Experience Year: 2017 Vol: 29 (8)
BOOK-CHAPTER

Student Performances Prediction Based on Improved C4.5 Decision Tree Algorithm

Ping GuQi Zhou

Advances in intelligent and soft computing Year: 2012 Pages: 1-8
© 2026 ScienceGate Book Chapters — All rights reserved.