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

Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2014, Vol 12, Issue 7

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.  

Authors and Affiliations

Sumathi Ganesan, T. S. Subashini

Keywords

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  • EP ID EP650506
  • DOI 10.24297/ijct.v12i7.3078
  • Views 78
  • Downloads 0

How To Cite

Sumathi Ganesan, T. S. Subashini (2014). A Content Based Approach to Medical X-Ray Image Retrieval using Texture Features. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 12(7), 3742-3748. https://europub.co.uk/articles/-A-650506