Title: Image mining framework and techniques: a review

Authors: Nilanjan Dey; Wahiba Ben Abdessalem Karâa; Sayan Chakraborty; Sukanya Banerjee; Mohammed A.M. Salem; Ahmad Taher Azar

Addresses: Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal, India ' Department of CSE, High Institute of Management, Le Bardo, Tunis, Tunisia ' Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal, India ' Department of Computer Science and Engineering, JIS College of Engineering, Kalyani, West Bengal, India ' Faculty of Computer and Information Sciences, Ain Shams University, Abbassia, Cairo, Egypt` ' Faculty of Computers and Information, Benha University, Qalyubia, Egypt

Abstract: Image mining refers to a data mining technique where images are used as data. It supports a large field of applications like medical diagnosis, agriculture, industrial work, space research and obviously the educational field. The image mining technique can extract knowledge and exciting patterns which are not stored in the database by analysing the images using various tools. The new era of advanced technology and high storage capability supports the growth of large and detailed image database. This review paper presents a detailed view on the existing research works in the area of image mining and also summarised the different techniques used.

Keywords: image mining; object recognition; image classification; image indexing; image retrieval; association rules mining; image clustering; neural networks; data mining; literature review.

DOI: 10.1504/IJIM.2015.070028

International Journal of Image Mining, 2015 Vol.1 No.1, pp.45 - 64

Available online: 23 Jun 2015 *

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