Curr Health Sci J, vol. 48, no. 2, 2022
Similarity Analysis for Medical Images Using Color and Texture Histograms
[Original Paper]
M. IONESCU(1), A.D. GLODEANU(2), I.R. MARINESCU(3), A.G. IONESCU(4), C.C. VERE(5)
(1)Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy of Craiova, Romania;
(2)Department of Internal Medicine, University of Medicine and Pharmacy of Craiova, Romania;
(3)Department of Oral Rehabilitation, University of Medicine and Pharmacy of Craiova, Romania;
(4)Department of History of Medicine, University of Medicine and Pharmacy of Craiova, Romania;
(5)Department of Gastroenterology, University of Medicine and Pharmacy of Craiova, Romania
Abstract:
Medical databases usually contain a significant volume of images, therefore search engines based on low-level features frequently used to retrieve similar images are necessary for a fast operation. Color, texture, and shape are the most common features used to characterize an image, however extracting the proper features for image retrievals in a similar manner with the human cognition remains a constant challenge. These algorithms work by sorting the images based on a similarity index that defines how different two or more images are, and histograms are one of the most employed methods for image comparison. In this paper, we have extended the concept of image database to the set of frames acquired following wireless capsule endoscopy (from a unique patient). Then, we have used color and texture histograms to identify very similar images (considered duplicates) and removed one of them for each pair of two successive frames. The volume reduction represented an average of 20% from the initial data set, only by removing frames with very similar informational content.
Keywords: Image similarity, Histograms, Wireless capsule endoscopy, Image analysis.
Corresponding: Adina Dorina Glodeanu, Department of Internal Medicine, Faculty of Dental Medicine, University of Medicine and Pharmacy of Craiova, Romania, e-mail: adina.glodeanu@umfcv.ro; Iulia Roxana Marinescu, Department of Oral Rehabilitation, Faculty of Dental Medicine, University of Medicine and Pharmacy of Craiova, Romania, e-mail: roxana.marinescu@umfcv.ro
DOI 10.12865/CHSJ.48.02.09 - Download PDF Similarity Analysis for Medical Images Using Color and Texture Histograms PDF
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