Nowadays huge amount of images are produced with the rapid development of digital imaging technology in various fields such as medical, astronomy, weather forecasting, photography, satellite imaging etc. So maintaining images in the large databases, extracting useful information from the images and retrieval similar images are the emerging research area in current scenario. A point of interest in an image is called feature that transform pictorial information into alpha numeric data. That feature can be used for solving many problems such as reducing the dimension of the image, classifying the images, indexing the images in the image database, automatic data analysis and retrieval of images from the database, etc. One of the main tasks in imaging technology is to extract useful and important features from the images. This paper presents a study on various low level feature extraction techniques used in image mining system that is used for various applications of imaging technology.

Image Mining, Feature extraction, color, Texture, Shape, Image retrieval

[1] AboliW.Hole, Prabhakar L.Ramteke, “Design and Implementation of Content Based Image Retrieval Using Data Mining and Image Processing Techniques”, International Journal of Advance Research in Computer Science and Management Studies, March 2015.
[2] AnkitaTripathi, Hitesh Jangir “A Study on Image Mining Methods and Techniques “, International Journal of Innovative Research in Computer and Communication Engineering April 2016.
[3] K.Saraswathi, Dr.V.GaneshBabu,”A Review on Image Mining Techniques”,International Journal of Scientific & Engineering Research, May-2017.
[4] https://en.wikipedia.org.
[5] Keyuri M. Zinzuvadia, Prof.Bhavesh A. Tanawala, Prof.KeyurN.Brahmbhatt “A Survey on Feature Based Image retrieval Using Classification and Relevance Feedback Techniques” International Journal of Innovative Research in Computer and Communication Engineering, January 2015.
[6] B. S. Manjunathm,Jens-Rainer Ohm, Vinod V. Vasudevan,Akio Yamada ,” Color and Texture Descriptors” IEEE Transactions on Circuits and Systems for Video Technology, June 2001
[7] Sreelekshmi. Anil A.R “A Survey on Feature Extraction Techniques for Image Retrieval using Data Mining & Image Processing Techniques “ , International Journal Of Engineering And Computer Science Nov. 2016.
[8] Hire Dnyanda N & S. S. Katariya “ Color And Shape Based Image Retrieval “,International Journal Of Computer Science Engineering And Information Technology Research, Dec 2012
[9] S.Asha, R.Rajeshkanna “A Survey on Content Based Image Retrieval Based on Edge Detection”, (IJCSIT) International Journal of Computer Science and Information Technologies, vol. 5 (6), 2014.
[10] AnkitaTripathi,Shivam Pandey, Hitesh Jangir, ”An improved and efficient image mining technique for classification of textual images using low-level image features”, IEEE International Conference on Inventive Computation Technologies, 2016.
[11] FatemehAlamdar, Mohammad Reza Keyvanpour “A New Color Feature Extraction Method Based on Quad Histogram” , 3rd International Conference on Environmental Science and Information Application Technology (ESIAT 2011)
[12] JeyanthiPrabhu and JawaharSenthil Ku ,“Wavelet Based Content Based Image Retrieval Using Color And Texture Feature Extraction By Gray Level Concurrence Matrix And Color Concurrence Matrix “, Journal of Computer Science Volume10(1),2014 Science Publications
[13] Alphonsa Thomas, SreekumarK,”A Survey on Image Feature Descriptors-Color, Shape and Texture, International Journal of Computer Science and Information Technologies, 2014.
[14] SumanKhokhar , SatyaVerma , “Content Based Image Retrieval with Multi-Feature Classification by Back-propagation Neural Network”, International Journal of Computer Applications Technology and Research, 2017.
[15] BhagyashriAmrutkar, Lokesh Singh “Efficient Content Based Image Retrieval Using Combination Of Dominant-Color, Shape And Texture Features And K-Means Clustering” International Journal Of Engineering And Computer Science ,January 2016
[16] S.KannanDr.V.MohanDr.N.Anbazhagan ”Image Clustering and Retrieval using Image Mining Techniques“ IEEE International Conference on Computational Intelligence and Computing Research 2010
[17] ParagDhonde, Prof. C. M. Raut “Precise & Proficient Image Mining Using Hierarchical KMeans Algorithm“, International Journal of and Research Publications, January 2015.
[18] Rahul Mehta, Nishchol Mishra, Sanjeev Sharma, “Color - Texture based Image Retrieval System”, International Journal of Computer Applications, June 2011.
[19] ManimalaSingham and K.Hemachandran “Content Based Image Retrieval using Color and Texture”, An International Journal of Signal & Image Processing, February 2012.
[20] J. C. Kavitha; A Suruliandi “Texture and color feature extraction for classification of melanoma using SVM”, International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE), 2016
[21] Shijin Kumar P.S, Dharun V.S “Extraction of Texture Features using GLCM and Shape Features using Connected Regions”, International Journal of Engineering and Technology (IJET) 2016
[22] Jigisha M. Patel, Nikunj C. Gamit “A Review on Feature Extraction Techniques in Content Based Image Retrieval”, IEEE WiSPNET 2016 conference
[23] Aman Chadha ,SushmitMallik ,RavdeepJohar “Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval“,International Journal of Computer Applications, August 2012.
[24] G.Nagarajan, R.I.Minu, B Muthukumar , V.Vedanarayanan &S.D.Sundarsingh “Hybrid Genetic Algorithm for Medical Image Feature Extraction and selection”, International Conference on Computational Modelling and Security (CMS 2016) Published by Elsevier
[25] Shijin Kumar P.S, Dharun V.S “ Extraction of Texture Features using GLCM and Shape Features using Connected Regions” International Journal of Engineering and Technology (IJET),2017
[26] Sushant Shrikant Hiwale, “Quick Interactive Image Search in Huge Databases Using content-Based Image Retrieval”, IEEE Sponsored 2nd International Conference on Innovations in Information Embedded and Communication Systems(ICIIECS), 2015.
[27] BalvantTarulatha,Ms. NamrataShroff,Prof. M B Chaudhary “VIBGYOR Indexing Technique For Image Mining”, IEEE International Conference on , Data Mining and Advanced Computing (SAPIENCE),2016.
[28] Muhammad Imran,Rathiah Hashim,Noor Eliza Abd Khalid ,”Color Histogram and First Order Statistics for Content Based Image Retrieval”, International conference on Recent Advances on Soft Computing and Data Mining 2014.
[29] Avinash N Bhute, B. B. Meshram “Content Based Image Indexing and Retrieval” International Journal of Graphics & Image Processing ,Nov. 2013
[30] NaushadVarish , Arup Kumar Pal. “Content based image retrieval using statistical features of color histogram”, IEEE, 3rd International Conference ON Signal Processing, Communication and Networking (ICSCN), 2015.
[31] Prof. Suresh M B, Dr. B MohankumarNaik “Content Based Image Retrieval Using Texture Structure Histogram and Texture Features”, International Journal of Computational Intelligence Research 2017.
[32] JuliRejito,AtjeSetiawan Abdullah, Akmal, DeniSetiana, and Budi NuraniRuchjana “Image Indexing using Color Histogram and k-means Clustering for Optimization CBIR in Image Database”, The Asian Mathematical Conference 2016, IOP Conf. Series: Journal of Physics: Conf. Series 893 (2017)