Neutrosophic Sets and Systems, Vol. 13, 2016

The goal of an Image Retrieval System is to retrieve images that are relevant to the user's request from a large image collection. In this paper we present texture features for images embedded in the neutrosophic domain. The aim is to extract a set of features to represent the content of each image in the training database to be used for the purpose of retrieving images from the database similar to the image under consideration.

[1]  Shi-Kuo Chang,et al.  Pictorial Data-Base Systems , 1981, Computer.

[2]  Hideyuki Tamura,et al.  Image database systems: A survey , 1984, Pattern Recognit..

[3]  A. A. Salama,et al.  Neutrosophic Relations Database , 2014 .

[4]  Shi-Kuo Chang,et al.  An Intelligent Image Database System , 1988, IEEE Trans. Software Eng..

[5]  Haitham A. El-Ghareeb,et al.  Utilizing Neutrosophic Set in Social Network Analysis e-Learning Systems , 2014 .

[6]  Said Broumi,et al.  Roughness of Neutrosophic Sets , 2014 .

[7]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[8]  King-Sun Fu,et al.  Query-by-Pictorial-Example , 1980, IEEE Trans. Software Eng..

[9]  F. Smarandache.  A Unifying Field in Logics: Neutrosophic Logic. , 1999 .

[10]  Florentin Smarandache,et al.  The Characteristic Function of a Neutrosophic Set , 2013 .

[11]  Shalini Bhatia,et al.  Content based Image Retrieval using Combined Features , 2012 .

[12]  Ning-San Chang,et al.  A Relational Database System for Images , 1980, Pictorial Information Systems.

[13]  Patty Kostkova,et al.  Special Issue on Digital Libraries , 2006, Health Informatics J..

[14]  C. Patil,et al.  Content based image retrieval using combined features , 2011, ICWET.

[15]  Mohamed Abdelfattah,et al.  Distances, Hesitancy Degree and Flexible Querying via Neutrosophic Sets , 2014, International Journal of Computer Applications.

[16]  James Ze Wang,et al.  Image retrieval: Ideas, influences, and trends of the new age , 2008, CSUR.

[17]  Heng-Da Cheng,et al.  A NOVEL IMAGE SEGMENTATION APPROACH BASED ON NEUTROSOPHIC SET AND IMPROVED FUZZY C-MEANS ALGORITHM , 2011 .

[18]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[19]  A. A. Salama,et al.  Introduction to Image Processing via Neutrosophic Techniques , 2014 .

[20]  Shi-Kuo Chang,et al.  Image Information Systems: Where Do We Go From Here? , 1992, IEEE Trans. Knowl. Data Eng..

[21]  Pavel Vácha,et al.  Query by Pictorial Example , 2011 .

[22]  Florentin Smarandache,et al.  A unifying field in logics : neutrosophic logic : neutrosophy, neutrosophic set, neutrosophic probability , 2020 .

[23]  A. A. Salama,et al.  NEW CONCEPTS OF NEUTROSOPHIC SETS , 2013 .

[24]  Hsinchun Chen,et al.  Building Large-Scale Digital Libraries - Guest Editors' Introduction , 1996, Computer.

[25]  Vijay V. Raghavan,et al.  Content-Based Image Retrieval Systems - Guest Editors' Introduction , 1995, Computer.

[26]  Florentin Smarandache,et al.  Introduction to Develop Some Software Programs for Dealing with Neutrosophic Sets , 2014 .

[27]  Paolo Parisen Toldin,et al.  A survey on content-based image retrieval / browsing systems exploiting semantic , 2010 .

[28]  A. Desai Narasimhalu,et al.  Special section on content-based retrieval , 1995, Multimedia Systems.

[29]  Feng Liu,et al.  Proceedings of the first international conference on Neutrosophy, neutrosophic logic, neutrosophic set, neutrosophic probability and statistics , 2003, math/0306384.

[30]  Florentin Smarandache,et al.  Neutrosophic set - a generalization of the intuitionistic fuzzy set , 2004, 2006 IEEE International Conference on Granular Computing.

[31]  Yung-Kuan Chan,et al.  Image retrieval system based on color-complexity and color-spatial features , 2004, J. Syst. Softw..

[32]  H. B. Kekre,et al.  A SURVEY OF CBIR TECHNIQUES AND SEMANTICS , 2011 .

[33]  Ratika Sharma,et al.  A Survey: Content Based Image Retrieval Based On Color, Texture, Shape & Neuro Fuzzy , 2013 .

[34]  Kanchan Saxena,et al.  A SURVEY ON CONTENT BASED IMAGE RETRIEVAL USING BDIP,BVLC AND DCD , 2012 .

[35]  A. A. Salama,et al.  Review of Recommender Systems Algorithms Utilized in Social Networks based e-Learning Systems & Neutrosophic System , 2015 .

[36]  Lan Xu,et al.  Image retrieval using both color and texture features , 2007 .

[37]  Ling Guan,et al.  Semi-automated relevance feedback for distributed content based image retrieval , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

[38]  Basim Nasih,et al.  Application of Wavelet Transform and Its Advantages Compared To Fourier Transform , 2016 .

[39]  L. Guan,et al.  Automatic Relevance Feedback for Distributed Content-Based Image Retrieval , 2005 .

[40]  A. A. Salama,et al.  Correlation of Neutrosophic Data , 2012 .

[41]  A. A. Salama,et al.  Basic Structure of Some Classes of Neutrosophic Crisp Nearly Open Sets & Possible Application to GIS Topology , 2015 .

[42]  Jilin Li,et al.  Local patterns constrained image histograms for image retrieval , 2008, 2008 15th IEEE International Conference on Image Processing.

[43]  Mohamed Eisa,et al.  A New Approach for Enhancing Image Retrieval using Neutrosophic Sets , 2014 .