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[1] Wu Jiasong, Jiang Longyu, Han Xu, et al. Performance evaluation of wavelet scattering networkin image texture classification in various color spaces [J]. Journal of Southeast University (English Edition), 2015, 31 (1): 46-50. [doi:10.3969/j.issn.1003-7985.2015.01.008]
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Performance evaluation of wavelet scattering networkin image texture classification in various color spaces()
小波散射网络在各种彩色空间进行图像纹理分类的性能比较
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
31
Issue:
2015 1
Page:
46-50
Research Field:
Computer Science and Engineering
Publishing date:
2015-03-30

Info

Title:
Performance evaluation of wavelet scattering networkin image texture classification in various color spaces
小波散射网络在各种彩色空间进行图像纹理分类的性能比较
Author(s):
Wu Jiasong1;  4;  Jiang Longyu1;  4;  Han Xu1;  4;  Lotfi Senhadji2;  3;  4;  Shu Huazhong1;  4
1Key Laboratory of Computer Network and Information Integration of Ministry of Education, Southeast University, Nanjing 210096, China
2Institut National de la Santé et de la Recherche Médicale U 1099, Rennes 35000, France
3Laboratoire Traitement du Signal et de l’Image, Université de Rennes 1, Rennes 35000, France
4Centre de Recherche en Information Biomédicale Sino-français, Southeast University, Nanjing 210096, China
伍家松1;  4;  姜龙玉1;  4;  韩旭1;  4;  Lotfi Senhadji2;  3;  4;  舒华忠1;  4
1东南大学计算机网络和信息集成教育部重点实验室, 南京 210096; 2法国国家医学与健康研究院 U 1099, 法国 雷恩 35000; 3雷恩第一大学信号与图像处理实验室, 法国 雷恩 35000; 4东南大学中法生物医学信息研究中心, 南京 210096
Keywords:
wavelet scattering network;  color texture classification;  color spaces;  opponent mechanism
小波散射网络;  彩色纹理分类;  彩色空间;  竞争机制
PACS:
TP391
DOI:
10.3969/j.issn.1003-7985.2015.01.008
Abstract:
The optimized color space is searched by using the wavelet scattering network in the KTH_TIPS_COL color image database for image texture classification. The effect of choosing the color space on the classification accuracy is investigated by converting red green blue(RGB)color space to various other color spaces. The results show that the classification performance generally changes to a large degree when performing color texture classification in various color spaces, and the opponent RGB-based wavelet scattering network outperforms other color spaces-based wavelet scattering networks. Considering that color spaces can be changed into each other, therefore, when dealing with the problem of color texture classification, converting other color spaces to the opponent RGB color space is recommended before performing the wavelet scattering network.
为了寻找利用小波散射网络进行彩色图像处理的最佳彩色空间, 用小波散射网络对KTH_TIPS_COL彩色图像数据库进行了图像纹理分类研究.采用将彩色图像从RGB彩色空间转换到其他各种彩色空间的方法, 研究了彩色空间的选择对于小波散射网络用于彩色图像纹理分类的影响.实验结果表明:在不同的彩色空间对彩色图像纹理进行分类, 分类成功率往往差别较大;在基于竞争机制的红绿蓝彩色空间中进行小波散射变换比其他彩色空间具有更好的分类性能.考虑到彩色空间可以互相转换, 对于彩色纹理图像的分类, 推荐将彩色空间转化到基于竞争机制的红绿蓝彩色空间后再输入小波散射网络.

References:

[1] Lowe D G. Distinctive image features from scale-invariant keypoints [J]. International Journal of Computer Vision, 2004, 60(2): 91-110.
[2] Tola E, Lepetit V, Fua P. DAISY: an efficient dense descriptor applied to wide-baseline stereo [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(5): 815-830.
[3] Mallat S. Group invariant scattering [J]. Communications on Pure and Applied Mathematics, 2012, 65(10): 1331-1398.
[4] Bruna J, Mallat S. Invariant scattering convolution networks [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(8): 1872-1886.
[5] Van de Sande K E A, Gevers T, Snoek C G M. Evaluating color descriptors for object and scene recognition [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(9): 1582-1596.
[6] Zhang J, Barhomi Y, Serre T. A new biologically inspired color image descriptor [C]//European Conference on Computer Vision. Firenze, Italy, 2012: 312-324.
[7] Oyallon E, Mallat S, Sifre L. Generic deep networks with wavelet scattering [EB/OL].(2014-03-10)[2014-06-22]. http://arxiv.org/abs/1312.5940.
[8] Ford A, Roberts A. Colour space conversions [EB/OL].(1998-08-11)[2014-05-12]. http://www.poynton.com/PDFs/coloureq.pdf.
[9] Getreuer P. Colorspace transformations website [EB/OL].(2010-09-21)[2014-04-20]. http://www.getreuer.info/home/colorspace.
[10] Fritz M, Hayman E, Caputo B. KTH-TIPS database [EB/OL].(2006-06-09)[2014-05-22]. http://www.nada.kth.se/cvap/databases/kth-tips/.
[11] Mallat S. Scatnet Website [EB/OL].(2010-09-01)[2014-05-22]. http://www.di.ens.fr/data/scattering/.
[12] Jain A, Healey G. A multiscale representation including opponent color features for texture recognition [J]. IEEE Transactions on Image Processing, 1998, 7(1): 124-128.

Memo

Memo:
Biography: Wu Jiasong(1983—), male, doctor, lecturer, jswu@seu.edu.cn.
Foundation items: The National Basic Research Program of China(No.2011CB707904), the National Natural Science Foundation of China(No.61201344, 61271312, 11301074), the Natural Science Foundation of Jiangsu Province(No.BK2012329), the Specialized Research Fund for the Doctoral Program of Higher Education(No.20110092110023, 20120092120036).
Citation: Wu Jiasong, Jiang Longyu, Han Xu, et al. Performance evaluation of wavelet scattering network in image texture classification in various color spaces[J].Journal of Southeast University(English Edition), 2015, 31(1):46-50.[doi:10.3969/j.issn.1003-7985.2015.01.008]
Last Update: 2015-03-20