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. Author manuscript; available in PMC: 2017 Jan 31.

Published in final edited form as: Neurocomputing (Amst). 2016 Feb 17;191:214–223. doi: 10.1016/j.neucom.2016.01.034

Table 3.

The illustration of models considered in the paper for comparison and the detailed description of the different models.

Models	Feature extraction	Generating sub-images		Size of Sub-images		Classifier
Models	Feature extraction	D₁	D₂	D₁	D₂	Classifier
Linder[19]	LBP+contrast measure	sliding window+square image		50 × 50	80 × 80	SVM
Bianconi[6]	perception-based features
Color-SW-SVM	pixel intensity			50 × 50
DCNN-SW-SVM	DCNN
DCNN-SW-SMC						SMC
DCNN-Ncut+SMC		SP(Ncut)+square image				SMC
DCNN-Ncut+SVM		SP(Ncut)+square image				SVM
DCNN-SLIC+SVM		SP(SLIC)+square image				SVM
DCNN-SLIC+SMC		SP(SLIC)+square image				SMC