Imaging Components, Systems, and Processing

Illumination correction of dyed fabrics approach using Bagging-based ensemble particle swarm optimization–extreme learning machine

[+] Author Affiliations
Zhiyu Zhou, Rui Xu

Zhejiang Sci-Tech University, School of Information Science and Technology, 840 Xuelin Street, Hangzhou, Zhejiang 310018, China

Dichong Wu

Zhejiang University of Finance and Economics, School of Business Administration, 18 Xueyuan Street, Hangzhou, Zhejiang 310018, China

Zefei Zhu

Hangzhou Dianzi University, School of Mechanical Engineering, 188 Xuelin Street, Hangzhou, Zhejiang 310018, China

Haiyan Wang

Zhejiang Police Vocational Academy, Department of Security and Prevention, 383 Tianmushang Street, Hangzhou, Zhejiang 310018, China

Opt. Eng. 55(9), 093102 (Sep 09, 2016). doi:10.1117/1.OE.55.9.093102
History: Received March 3, 2016; Accepted August 24, 2016
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Abstract.  Changes in illumination will result in serious color difference evaluation errors during the dyeing process. A Bagging-based ensemble extreme learning machine (ELM) mechanism hybridized with particle swarm optimization (PSO), namely Bagging–PSO–ELM, is proposed to develop an accurate illumination correction model for dyed fabrics. The model adopts PSO algorithm to optimize the input weights and hidden biases for the ELM neural network called PSO–ELM, which enhances the performance of ELM. Meanwhile, to further increase the prediction accuracy, a Bagging ensemble scheme is used to construct an independent PSO–ELM learning machine by taking bootstrap replicates of the training set. Then, the obtained multiple different PSO–ELM learners are aggregated to establish the prediction model. The proposed prediction model is evaluated with real dyed fabric images and discussed in comparison with several related methods. Experimental results show that the ensemble color constancy method is able to generate a more robust illuminant estimation model with better generalization performance.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Zhiyu Zhou ; Rui Xu ; Dichong Wu ; Zefei Zhu and Haiyan Wang
"Illumination correction of dyed fabrics approach using Bagging-based ensemble particle swarm optimization–extreme learning machine", Opt. Eng. 55(9), 093102 (Sep 09, 2016). ; http://dx.doi.org/10.1117/1.OE.55.9.093102


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