Content-Based Image Retrieval Approach Using Color and Texture Applied to Two Databases (Coil-100 and Wang)
暂无分享,去创建一个
[1] Nora Tilly. Terrestrial laser scanning for crop monitoring.Capturing 3D data of plant height for estimating biomass at field scale , 2015 .
[2] Dragutin Petkovic,et al. Query by Image and Video Content: The QBIC System , 1995, Computer.
[3] Rehan Ashraf,et al. Content Based Image Retrieval Using Embedded Neural Networks with Bandletized Regions , 2015, Entropy.
[4] Michael J. Swain,et al. Color indexing , 1991, International Journal of Computer Vision.
[5] A. Govardhan,et al. CTDCIRS: Content based Image Retrieval System based on Dominant Color and Texture Features , 2011 .
[6] Guojun Lu,et al. Shape-based image retrieval using generic Fourier descriptor , 2002, Signal Process. Image Commun..
[7] Mohammed Ouanan,et al. Content-based color image retrieval based on the 2-D histogram and statistical moments , 2014, 2014 Second World Conference on Complex Systems (WCCS).
[8] João Leitão,et al. Practical Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories , 2019, IEEE Transactions on Cloud Computing.
[9] Kpalma Kidiyo,et al. A Survey of Shape Feature Extraction Techniques , 2008 .
[10] Edmund Y. Lam,et al. Human arm pose modeling with learned features using joint convolutional neural network , 2016, Machine Vision and Applications.
[11] K. Hemachandran,et al. Content Based Image Retrieval using Color and Texture , 2012 .
[12] Chenggang Clarence Yan,et al. Triple-Bit Quantization with Asymmetric Distance for Image Content Security , 2017, Machine Vision and Applications.
[13] Chawki Youness,et al. Efficient Use of Texture and Color features in Content Based Image Retrieval (CBIR) , 2016 .
[14] Jian Shen,et al. A Content-Based Image Retrieval Scheme Using an Encrypted Difference Histogram in Cloud Computing , 2017, Inf..
[15] Lu Liu,et al. Content-based image retrieval using color and texture fused features , 2011, Math. Comput. Model..
[16] Jake K. Aggarwal,et al. Combining structure, color and texture for image retrieval: A performance evaluation , 2002, Object recognition supported by user interaction for service robots.
[17] N. G. Chitaliya,et al. Comparative analysis using fast discrete Curvelet transform via wrapping and discrete Contourlet transform for feature extraction and recognition , 2013, 2013 International Conference on Intelligent Systems and Signal Processing (ISSP).
[18] James Ze Wang,et al. SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[19] Lei Zhang,et al. A CBIR method based on color-spatial feature , 1999, Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030).
[20] Ying Liu,et al. A survey of content-based image retrieval with high-level semantics , 2007, Pattern Recognit..
[21] Henrik Boström,et al. Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification , 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).
[22] Sherin M. Youssef,et al. ICTEDCT-CBIR: Integrating curvelet transform with enhanced dominant colors extraction and texture analysis for efficient content-based image retrieval , 2012, Comput. Electr. Eng..