TY - JOUR AU - Ganesan, Sumathi AU - Subashini, T.S. PY - 2014/02/15 Y2 - 2024/03/29 TI - A Content Based Approach to Medical X-Ray Image Retrieval using Texture Features JF - INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY JA - IJCT VL - 12 IS - 7 SE - Research Articles DO - 10.24297/ijct.v12i7.3078 UR - https://rajpub.com/index.php/ijct/article/view/3078ijct SP - 3742-3748 AB - <p>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.  </p> ER -