[1]吴志鑫,李立轻,汪 军,等.一种基于特征值融合的服装面料图像检索方法[J].服装学报,2021,6(01):42-47.
 WU Zhixin,LI Liqing,WANG Jun,et al.An Image Retrieval Method of Clothing Fabric Based on Feature Fusion[J].Journal of Clothing Research,2021,6(01):42-47.
点击复制

一种基于特征值融合的服装面料图像检索方法()
分享到:

《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第6卷
期数:
2021年01期
页码:
42-47
栏目:
服装信息与工程
出版日期:
2021-02-28

文章信息/Info

Title:
An Image Retrieval Method of Clothing Fabric Based on Feature Fusion
作者:
吴志鑫;  李立轻;  汪 军;  江 慧*
东华大学 纺织学院,上海 201620
Author(s):
WU Zhixin;  LI Liqing;  WANG Jun;  JIANG Hui*
College of Textiles,Donghua University,Shanghai 201620,China
分类号:
TS 941.41; TP 391.41
文献标志码:
A
摘要:
将基于内容的图像检索技术应用于服装面料的图像检索中,为了提高图像检索的准确性,提出一种归一化特征值以融合多特征的方法。在颜色特征方面选用HSV颜色直方图法,在纹理特征方面选用灰度共生矩阵算法,建立了两种特征的融合方法。通过对3 000幅服装面料图像进行检索,发现融合后的特征较之单特征检索效果均有所提高,平均查准率可以达到86.8%; 稳定性实验结果表明,该方法较之单特征也有一定的优势。
Abstract:
Applying CBIR technology to the image retrieval of clothing fabrics, this paper proposed a method of normalizing feature values to fuse multiple features, to improve the accuracy of image retrieval. The HSV color histogram method was selected for color features, and the GLCM algorithm was selected for texture features. And two feature fusion methods were established. Through the verification of 3 000 garment fabric images, the results showed that the fusion features had improved the retrieval effect compared with single feature, and the average precision rate of 86.8% could be achieved overall. Results of an stability experimental study showed that its stability also had certain advantages compared with a single feature.

参考文献/References:

[1] 曹兵权,杨旭红.机织面料数据库系统的设计与实现[J].现代丝绸科学与技术, 2017,32(4):4-7.
CAO Bingquan,YANG Xuhong.Design and implementation of woven fabric database system[J]. Modern Silk Science and Technology, 2017,32(4):4-7.(in Chinese)
[2] LI W, DUAN L, XU D, et al. Text-based image retrieval using progressive multi-instance learning[C] //IEEE International Conference on Computer Vision, ICCV 2011.Spain: IEEE, 2011.
[3] WANG Guohe,LIANG Yanfang,GU Ping.Study and application of objective evaluation model on fabric style[J]. Journal of Donghua University(English Edition),2007,24(2):187-191,196.
[4] MOGHIMIAN A,MANSOORIZADEN M, DEZFOULIAN M. Content based image retrieval using fusion of multi-level bag of visual words[J]. SN Applied Sciences,2019,1(12).1735.
[5] 张丽. 基于颜色和纹理特征的图像检索技术研究[D].南京:南京邮电大学,2017.
[6] AN Y, RIAZ M, PARK J A. CBIR based on adaptive segmentation of HSV color space[C] //Proceedings of the 12th UKSim, International Conference on Computer Modelling and Simulation. Cambridge: IEEE, 2010.
[7] RAJU P, RAO V M, RAO B P. Optimal GLCM combined FCM segmentation algorithm for detection of kidney cysts and tumor[J]. Multimedia Tools and Applications, 2019, 78(13):18419-18441.
[8] 陈帅,赵海龙.基于HSV空间的创新型车牌定位方法[J].北京建筑大学学报,2015,31(3):69-72.
CHEN Shuai,ZHAO Hailong.Creative license plate locating method based on HSV space[J].Journal of Beijing University of Civil Engineering and Architecture,2015,31(3):69-72.(in Chinese)
[9] YANG Kai,ZHOU Bi,YI Fei,et al. Correction to: colorectal cancer diagnostic algorithm based on Sub-Patch weight color histogram in combination of improved least squares support vector machine for pathological image[J]. Journal of Medical Systems,2019,43(12):306.
[10] 王辉. 基于灰度共生矩阵木材表面纹理模式识别方法的研究[D].哈尔滨:东北林业大学,2007
[11] 郑红,李钊,李俊.灰度共生矩阵的快速实现和优化方法研究[J].仪器仪表学报,2012,33(11):2509-2515.
ZHENG Hong, LI Zhao, LI Jun.Study on fast implementation and optimal methodof gray level co-occurrence matrix[J]. Chinese Journal of Scientific Instrument, 2012,33(11):2509-2515.(in Chinese)
[12] 焦蓬蓬,郭依正,刘丽娟,等.灰度共生矩阵纹理特征提取的Matlab实现[J].计算机技术与发展,2012,22(11):169-171,175.
JIAO Pengpeng, GUO Yizheng, LIU Lijuan,et al.Implementation of gray level co-occurrence matrix texture feature extraction using matlab[J]. 2012,22(11):169-171,175.(in Chinese)
[13] DUAN Guoyong.Content-based image retrieval research[C]// Physics Procedia 2011 International Conference on Physics Science and Technology. Hong Kong: ELSEVIER, 2011:478- 484.
[14] 张喆,王玉德,马晨,等.融合统一模式的LBP和GLCM特征的图像检索算法[J].电子技术,2014,43(10):27-29.
ZHANG Zhe,WANG Yude, MA Chen, et al.Research of image retrieval algorithm based on the uniform pattern of LBP and GLCM features[J]. Electronic Technology,2014,43(10):27-29.(in Chinese)
[15] 孙琦龙, 张明亮. 一种HSV颜色空间量化的藏毯图像检索方法[J]. 软件信息,2016, 37(3):36-39.
SUN Qilong,ZHANG Mingliang. HSV color space quantization image retrieval method for tibetan carpet[J]. Computer Engineering and Software,2016, 37(3):36-39.(in Chinese)
[16] DANIELA D,FAST J F, GTZ F, et al. Euclidean distances of laryngopharyngeal structures obtained from CT data for preclinical development of laryngoscopic devices[J]. Surgical and Radiologic Anatomy,2020, 42(3):695-700.
[17] 陈丽丽.基于灰度共生矩阵的毛料裤子穿着平整度特征提取[J].毛纺科技,2017,45(5):50-54.
CHEN Lili.Eigenvalue extraction on wearing smoothness of wool pants based on Gray-level co-occurrence matrix[J]. Wool Textile Journal,2017,45(5):50-54.(in Chinese)
(责任编辑:邢宝妹)

更新日期/Last Update: 2021-03-11