- Title
- Texture feature extraction and classification by combining statistical and neural based technique for efficient CBIR
- Creator
- Kulkarni, Siddhivinayak; Kulkarni, Pradnya
- Date
- 2012
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/59443
- Identifier
- vital:4853
- Identifier
-
https://doi.org/10.1007/978-3-642-35521-9_14
- Identifier
- ISBN:18650929 (ISSN); 9783642355202 (ISBN)
- Abstract
- This paper presents a technique based on statistical and neural feature extractor, classifier and retrieval for real world texture images. The paper is presented into two stages, texture image pre-processing includes downloading images, normalizing into specific rows and columns, forming non-overlapping windows and extracting statistical features. Co-occrance based statistical technique is used for extracting four prominent texture features from an image. Stage two includes, feeding of these parameters to Multi-Layer Perceptron (MLP) as input and output. Hidden layer output was treated as characteristics of the patterns and fed to classifier to classify into six different classes. Graphical user interface was designed to pose a query of texture pattern and retrieval results are shown. © 2012 Springer-Verlag.
- Publisher
- Gangneug Springer Berlin Heidelberg
- Relation
- 2012 Int. Conf. on MulGraB 2012, the 2012 Int. Conf. on BSBT 2012, and the 1st Int. Conf. on Intelligent Urban Computing, IUrC 2012, Held as Part of the Future Generation Information Technology Conference, FGIT 2012 Vol. 353 CCIS, p. 106-113
- Rights
- Copyright 2012 Springer-Verlag
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- Multi Layer Perceptron; Texture images; Feature extractor; Hidden layers; Input and outputs; Multi layer perceptron; Neural based technique; Statistical features; Statistical techniques; Texture feature extraction; Texture features; Texture patterns; Classifiers; Computer applications; Graphical user interfaces; Image retrieval; Information technology; Textures; Image texture
- Full Text
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