A novel scale and rotation invariant texture image retrieval method using fuzzy logic classifier q Shailendrakumar M. Mukane a,⇑ , Sachin R. Gengaje b , Dattatraya S. Bormane c a Department of Electronics and Telecommunication Engineering, SVERI’s College of Engineering, Pandharpur, Maharashtra State, India b Department of Electronics Engineering, Walchand Institute of Technology, Solapur, Maharashtra State, India c Department of Electronics and Telecommunication Engineering, JSPM’s Rajarshi Shahu College of Engineering, Pune, Maharashtra State, India article info Article history: Available online 12 July 2014 abstract A novel approach for content-based texture image retrieval system using fuzzy logic classifier is proposed in this paper. The novelty of this method is demonstrated by handling the complexity issues in texture image retrieval arising from rotation and scale variance. These issues are divided into four groups as non rotated non scaled, rotation invariant, scale invariant and scale and rotation invariant texture retrieval for retrieval performance analysis. Features of texture images are obtained using discrete wavelet transform based statistical features and gray level co-occurrence matrix based co-occurrence features. The fuzzy logic classifier is developed with Gaussian membership function with mean and standard deviations of the features. The retrieval performance improvement is carried out by considering various combinations of the features. The average retrieval rates for the four issues have been achieved at 99.40% with 40 features, 91% with 80 features, 65.2% with 40 features, and 63.4% with 65 features respectively. This method outperforms the existing methods in terms of average retrieval rate. The scale and rotation invariant texture retrieval is an incomparable work that has been demonstrated in the present paper. Ó 2014 Elsevier Ltd. All rights reserved. 1. Introduction This section presents motivation, literature review and the authors’ approach to the problem at hand. 1.1. Motivation Most of the scientific, commercial, managerial and art forms are expressed or illustrated using images. Over the period, the techniques of preserving the databases have been improved. With the large number of databases, there is demand for faster and accurate retrieval of these database contents. The database content may be text or image. The text retrieval has improved drastically and almost achieved the desired accuracy and speed of retrieval. However, the image retrieval methods with desired accuracy need a lot of research. The major difficulties in developing the image retrieval method are due to the presence of various sources of images and non standard forms of images as compared to standard forms of the text such as letters, numbers, symbols, etc. http://dx.doi.org/10.1016/j.compeleceng.2014.06.006 0045-7906/Ó 2014 Elsevier Ltd. All rights reserved. q Reviews processed and recommended for publication to the Editor-in-Chief by Deputy Editor Dr. Ferat Sahin. ⇑ Corresponding author. Tel.: +91 2186 225083; fax: +91 2186 225082. E-mail addresses: smmukane@gmail.com (S.M. Mukane), srgengaje@rediffmail.com (S.R. Gengaje), bdattatraya@yahoo.com (D.S. Bormane). Computers and Electrical Engineering 40 (2014) 154–162 Contents lists available at ScienceDirect Computers and Electrical Engineering journal homepage: www.elsevier.com/locate/compeleceng