casa 19(17): e3

Research Article

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

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  • @ARTICLE{10.4108/eai.18-3-2019.159351,
        author={Vo Thi Hong Tuyet and Nguyen Mong  Hien and Pham Bao Quoc and Nguyen Thanh Son and Nguyen Thanh Binh},
        title={Adaptive Content-Based Medical Image Retrieval Based On Local Features Extraction In Shearlet Domain},
        journal={EAI Endorsed Transactions on Context-aware Systems and Applications},
        volume={6},
        number={17},
        publisher={EAI},
        journal_a={CASA},
        year={2019},
        month={6},
        keywords={medical image, content-based medical retrieval, segmentation, active contour model, shearlet},
        doi={10.4108/eai.18-3-2019.159351}
    }
    
  • Vo Thi Hong Tuyet
    Nguyen Mong Hien
    Pham Bao Quoc
    Nguyen Thanh Son
    Nguyen Thanh Binh
    Year: 2019
    Adaptive Content-Based Medical Image Retrieval Based On Local Features Extraction In Shearlet Domain
    CASA
    EAI
    DOI: 10.4108/eai.18-3-2019.159351
Vo Thi Hong Tuyet1, Nguyen Mong Hien2,3, Pham Bao Quoc2, Nguyen Thanh Son4, Nguyen Thanh Binh2,*
  • 1: Faculty of Information Technology, Ho Chi Minh City Open University, Vietnam
  • 2: Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, VNU-HCM, Vietnam
  • 3: Tra Vinh University, Vietnam
  • 4: Faculty of Electrical and Electronic Engineering, Ho Chi Minh City University of Technology, VNU-HCM, Vietnam
*Contact email: ntbinh@hcmut.edu.vn

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.