Analysis of content based image retrieval for plant leaf diseases using color, shape and texture features

[1]  Roberto Brunelli,et al.  Histograms analysis for image retrieval , 2001, Pattern Recognit..

[2]  Matti Pietikäinen,et al.  Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  P.S. Hiremath,et al.  Content Based Image Retrieval Using Color, Texture and Shape Features , 2007, 15th International Conference on Advanced Computing and Communications (ADCOM 2007).

[4]  Nam Chul Kim,et al.  Content-Based Image Retrieval Using Multiresolution Color and Texture Features , 2008, IEEE Transactions on Multimedia.

[5]  A. Srikaew,et al.  Grape leaf disease detection from color imagery using hybrid intelligent system , 2008, 2008 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[6]  P. Maheshwary,et al.  Retrieving Similar Image Using Color Moment Feature Detector and K-Means Clustering of Remote Sensing Images , 2008, 2008 International Conference on Computer and Electrical Engineering.

[7]  Hong Qin,et al.  A Study of Order-Based Block Color Feature Image Retrieval Compared with Cumulative Color Histogram Method , 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.

[8]  Xiannong Meng,et al.  A Study of Color Histogram Based Image Retrieval , 2009, 2009 Sixth International Conference on Information Technology: New Generations.

[9]  Patrick P. K. Chan,et al.  Content-based image retrieval using color moment and Gabor texture feature , 2010, 2010 International Conference on Machine Learning and Cybernetics.

[10]  Jinghui Li,et al.  Extraction and analysis of digital images feature of three kinds of wheat diseases , 2010, 2010 3rd International Congress on Image and Signal Processing.

[11]  Effect of pre- and post-plant fungicide and fertilizer treatments on infection by Colletotrichum acutatum, plant survival, and yield of annual strawberry in Florida. , 2010 .

[12]  A. Tenuta,et al.  Effect of Diseases on Soybean Yield in the Top Eight Producing Countries in 2006 , 2010 .

[13]  Di Huang,et al.  Local Binary Patterns and Its Application to Facial Image Analysis: A Survey , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[14]  B. S. Bama,et al.  CONTENT BASED LEAF IMAGE RETRIEVAL (CBLIR) USING SHAPE, COLOR AND TEXTURE FEATURES , 2011 .

[15]  V. A. Gulhane Dr. A. A. Gurjar,et al.  Detection of Diseases on Cotton Leaves and its Possible Diagnosis , 2011 .

[16]  S. Selvarajah,et al.  Combined feature descriptor for Content based Image Retrieval , 2011, 2011 6th International Conference on Industrial and Information Systems.

[17]  Gözde B. Ünal,et al.  Plant Image Retrieval Using Color, Shape and Texture Features , 2011, Comput. J..

[18]  Lionel Prevost,et al.  Combining AAM coefficients with LGBP histograms in the multi-kernel SVM framework to detect facial action units , 2011, Face and Gesture 2011.

[19]  Wenjuan Zhang,et al.  A framework for image retrieval with hybrid features , 2012, 2012 24th Chinese Control and Decision Conference (CCDC).

[20]  Wesam M. Ashour,et al.  Content-Based Image Retrieval Using Invariant Color and Texture Features , 2012, 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA).

[21]  A. P. Bhagat,et al.  Design and development of systems for image segmentation and content based image retrieval , 2012, 2012 2nd National Conference on Computational Intelligence and Signal Processing (CISP).

[22]  R. M. Rasli,et al.  Comparative Analysis of Content Based Image Retrieval Techniques Using Color Histogram: A Case Study of GLCM and K-Means Clustering , 2012, 2012 Third International Conference on Intelligent Systems Modelling and Simulation.

[23]  Raj Kumar,et al.  Plant Leaf Disease Image Retrieval Using Color Moments , 2013 .

[24]  Yong Zhao,et al.  Clothing image retrieval using color moment , 2013, Proceedings of 2013 3rd International Conference on Computer Science and Network Technology.

[25]  Deepika Shukla.  Image retrieval system using block-based statistical features , 2013, 2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013).

[26]  Gerald Schaefer,et al.  Compact Multi-dimensional LBP Features for Improved Texture Retrieval , 2013, 2013 Second International Conference on Robot, Vision and Signal Processing.

[27]  Kidiyo Kpalma,et al.  Region-based image retrieval using shape-adaptive DCT , 2014, 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP).

[28]  R. H. Goudar,et al.  An integrated approach to Content Based Image Retrieval , 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[29]  Yu Shuchun,et al.  Image Retrieval Based on Multi-feature Fusion , 2014, 2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control.

[30]  C. S. Gode,et al.  Enhancement of Image Retrieval by Using Colour, Texture and Shape Features , 2014, 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies.

[31]  Dinesh Naik,et al.  Retrieve the similar matching images using reduced SIFT with CED algorithm , 2014, 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT).