A Content Based Approach to Medical X-Ray Image Retrieval using Texture Features

Authors

  • Sumathi Ganesan Annamalai University, Annamalai Nagar – 608 002
  • T.S. Subashini Annamalai University, Annamalai Nagar – 608 002

DOI:

https://doi.org/10.24297/ijct.v12i7.3078

Keywords:

Content based image retrieval, back propagation neural network, support vector machine, gray level co-occurrence matrix and city block distance method

Abstract

Of late, the amount of digital X-ray images that are produced in hospitals is increasing incredibly fast. Efficient storing, processing and retrieving of X-ray images have thus become an important research topic. With the exponential need that arises in the search for the clinically relevant and visually similar medical images over a vast database, the arena of digital imaging techniques is forced to provide a potential and path-breaking methodology in the midst of technical advancements so as to give the best match in accordance to the user’s query image. CBIR helps doctors to compare X-rays of their current patients with images from similar cases and they could also use these images as queries to find the similar entries in the X-ray database. This paper focuses on six different classes of X-ray images, viz. chest, skull, foot, spine, pelvic and palm for efficient image retrieval. Initially the various X-rays are automatically classified into the six-different classes using BPNN and SVM as classifiers and GLCM co-efficient as features for classification. Indexing is done to make the retrieval fast and retrieval of similar images is based on the city block distance.  

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Author Biographies

Sumathi Ganesan, Annamalai University, Annamalai Nagar – 608 002

Department of Computer Science and Engineering
Faculty of Engineering and Technology

T.S. Subashini, Annamalai University, Annamalai Nagar – 608 002

Department of Computer Science and Engineering
Faculty of Engineering and Technology,

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Published

2014-02-15

How to Cite

Ganesan, S., & Subashini, T. (2014). A Content Based Approach to Medical X-Ray Image Retrieval using Texture Features. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 12(7), 3742-3748. https://doi.org/10.24297/ijct.v12i7.3078

Issue

Section

Research Articles