I. J. of Electrical & Electronics Research
Research Article | 
Enhanced Visual Analytics Technique for Content-Based Medical Image Retrieval
Author(s) : S. Abinaya1 and T. Rajasenbagam2
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 10, Issue 2 , Special Issue on IEEE-SD
Publisher : FOREX Publication
Published : 13 May 2022
e-ISSN : 2347-470X
Page(s) : 93-99
Abstract
Content-based image retrieval (CBIR) is a method for searching that finds related images in a medical database. Furthermore, a clinical adaptation of CBIR is hampered in part by a contextual gap that is the disparity among the person characterization of the picture and the framework characterization of the image. This technique makes it tough for the user to validate the fetched images that are similar to the query image in addition to that it only fetches the images of top-ranked and ignores the low-ranking ones. Visual Analytics for Medical Image Retrieval is a novel procedure for medicinal CBIR proposed in this research (VAMIR). By integrating human and machine analysis, Visual Analytics provides the potential to address the above-mentioned significant challenges. The texture properties are retrieved using the shape features extraction and Gray Level Co-occurrence Matrix (GLCM) is performed by contour-based shape descriptor. Using the Euclidean distance correlation metric, related medical pictures will be fetched by distinguishing the query image's attribute vector with the database images' respective attribute vectors. A vector of multiple features outperforms a vector of a single feature in terms of quality. The VAMIR implementation demonstrates that the search outcome for the user is acquired with 90% of recall and precision.
Keywords: Image retrieval, Lung CT images, Visual Analytics for Medical Image Retrieval (VAMIR), Content-based image retrieval (CBIR)
S. Abinaya, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India; Email: s.abinaya@vit.ac.in
T. Rajasenbagam, Department of Computer Science and Engineering, Government College of Technology, Coimbatore, India; Email: trajasenbagam@gct.ac.in
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S.Abinaya and T.Rajasenbagam (2022), Enhanced Visual Analytics Technique for Content-Based Medical Image Retrieval. IJEER 10(2), 93-99. DOI: 10.37391/IJEER.100207.