Block Color Feature Extraction Algorithm Based on Mixed Color Space

Wang Min; Wang Jing; Zhang Licai; Zhang Xin

doi:10.3788/LOP55.011009

Journals >Laser & Optoelectronics Progress >Volume 55 >Issue 1 >Page 11009 > Article

Laser & Optoelectronics Progress
Vol. 55, Issue 1, 11009 (2018)

Block Color Feature Extraction Algorithm Based on Mixed Color Space

Wang Min, Wang Jing^*, Zhang Licai, and Zhang Xin

Author Affiliations

School of Information and Control Engineering, Xi''an University of Architecture and Technology, Xi''an, Shaanxi 710055, China

show less

DOI: 10.3788/LOP55.011009 Cite this Article Set citation alerts

Wang Min, Wang Jing, Zhang Licai, Zhang Xin. Block Color Feature Extraction Algorithm Based on Mixed Color Space[J]. Laser & Optoelectronics Progress, 2018, 55(1): 11009 Copy Citation Text

show less

Fig. 1. Block image

Download full size

Fig. 2. Flow chart of feature fusion

Download full size

Fig. 3. Color moment in mixed color space

Download full size

Fig. 4. Light color moment in mixed color space

Download full size

Fig. 5. Part identification results of Chinese paintings

Download full size

Fig. 6. Comparison of the recognition precision of different spatial color features combined with texture feature

Download full size

Color space	Landscape	Flower and bird	Bamboo	Person	Horse
HSV	84.33	85.31	83.93	84.45	83.96
HIS	84.61	84.52	83.84	83.57	84.08
YUV	82.97	83.62	83.22	82.29	83.26
Mixed color space	88.25	89.26	88.83	88.79	87.87
Block mixed color space	90.02	90.67	89.85	90.61	89.92

Table 1. Recognition precision of different spatial color features combined with texture feature%

Color space	Landscape	Flower and bird	Bamboo	Person	Horse
HSV	83.63	85.93	84.16	83.95	82.78
HIS	85.26	83.98	83.29	83.85	84.21
YUV	83.22	84.24	83.76	82.91	83.36
Mixed color space	89.01	89.63	88.33	88.43	87.72
Block mixed color space	90.89	91.02	90.65	90.27	90.62

Table 2. Recognition recall of different spatial color features combined with texture feature%

Color space	Mean ofprecision /%	Recognitiontime /s
HSV	84.40	0.6
HIS	84.12	0.6
YUV	83.00	0.6
Mixed color space	88.60	2.1
Block mixed color space	90.21	2.9

Table 3. Recognition time of different spatial color features combined with texture feature

Color space	Person	Cars	Sights	Architecture	Mean
HSV	81.66	82.35	81.87	82.51	82.09
HIS	81.89	82.96	81.57	82.75	82.29
YUV	81.12	82.54	81.03	82.91	81.90
Mixed color space	86.55	87.58	86.91	87.77	87.20
Block mixed color space	89.92	90.38	89.98	90.21	90.12

Table 4. Recognition precision of different spatial color features combined with texture feature%

Color space	Person	Cars	Sights	Architecture	Mean
HSV	82.03	82.34	82.68	82.97	82.50
HIS	81.92	82.23	82.09	82.87	82.28
YUV	81.65	82.53	82.06	82.91	82.29
Mixed color space	88.62	89.03	88.78	89.64	89.01
Block mixed color space	90.97	91.86	90.23	90.76	90.96

Table 5. Recognition recall of different spatial color features combined with texture feature%

Wang Min, Wang Jing, Zhang Licai, Zhang Xin. Block Color Feature Extraction Algorithm Based on Mixed Color Space[J]. Laser & Optoelectronics Progress, 2018, 55(1): 11009

Download Citation

Set citation alerts for the article

Tools

Set citation alerts for the article

Save the article for my favorites

Paper Information