IJCRAR is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCRAR Articles.

INDEXED IN INDEX COPERNICUS - ICI Journals Master List 2016 - IJCRAR--ICV 2016: 81.15 For more details click here

Abstract                 Volume:4  Issue-7  Year-2016          Original Research Articles


Online ISSN : 2347 - 3215
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcret@gmail.com

Mathematical Modeling of Content Based Image Classification Techniques for Artificial Vision
Rajashri Mahajan* and S.V. Patil
E & TC Department, J.T. Mahajan College of Engineering, Faizpur, India
*Corresponding author
Abstract:

Recent years have seen a rapid increase in the size of digital image collections. Any advance in our ability to organize unlabelled images according to their semantic content is a very useful step in managing these collections. Image is a collection of row and column that is called pixel values. Extracting best matched image from large collection of database is emerging task. Image retrieval is mainly used in image processing, pattern recognition and computer vision. CBIR technique used in many areas such as medical, academic, art, fashion, entertainment. Generally image have colour, texture, shape and size are relevant feature so extract all the relevant and irrelevant features of image. After extracting all the feature of image applies SVM i.e. supervised learning algorithm get optimal result for image classification.

Keywords: CBIR, Image Retrieval, SVM, Image classification, image processing, pattern recognition, computer vision.
Download this article as Download

How to cite this article:

Rajashri Mahajan and S.V. Patil. 2016. Mathematical Modeling of Content Based Image Classification Techniques for Artificial Vision.Int.J.Curr.Res.Aca.Rev. 4(7): 114-124
doi: http://dx.doi.org/10.20546/ijcrar.2016.407.015