Adaptive Content-Based Medical Image Retrieval Based On Local Features Extraction In Shearlet Domain

Authors

DOI:

https://doi.org/10.4108/eai.18-3-2019.159351

Keywords:

medical image, content-based medical retrieval, segmentation, active contour model, shearlet

Abstract

Image retrieval system is an urgent issue for in medicine. In the past, traditional image retrieval system based solely on the label of images and gave limited results. To reduce this disadvantage, the content-based medical image retrieval has been developed. However, this system still has many challenges. In this paper, we proposed a new method for content-based medical image retrieval. The proposed method includes two stages: the offline task and online task in medical image database. In the first stage, we extracted local object features of medical images in shearlet domain. Then, we detect the contour of object in images by active contour model. In the second stage, we make online task for content-based image retrieval in database. Our system receipts a query image and shows the similar in images by similarity comparison with the information collected from the first stage. Experimental results have shown that the proposed method is better than the other methods.

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Published

26-06-2019

How to Cite

1.
Tuyet VTH, Mong Hien N, Quoc PB, Thanh Son N, Thanh Binh N. Adaptive Content-Based Medical Image Retrieval Based On Local Features Extraction In Shearlet Domain. EAI Endorsed Trans Context Aware Syst App [Internet]. 2019 Jun. 26 [cited 2024 Feb. 22];6(17):e3. Available from: https://publications.eai.eu/index.php/casa/article/view/1901