A Heuristic Automatic and Robust ROI Detection Method for Medical Image Warermarking.
This paper presents an automatic region of interest (ROI) segmentation method for application of watermarking in medical images. The advantage of using this scheme is that the proposed method is robust against different attacks such as median, Wiener, Gaussian, and sharpening filters. In other words...
| Publicado en: | Journal of Digital Imaging Vol. 28; no. 4; pp. 417 - 428 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109625946&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109625946 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Aug2015 vid: 28 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109625946 108352945 10.1007/s10278-015-9770-z NLM25736857 PMC4501953 109625946 ppf: 417 ppct: 11 formats: fmt: @attributes: type: P tig: atl: A Heuristic Automatic and Robust ROI Detection Method for Medical Image Warermarking. aug: au: Mousavi, Seyed Mojtaba Naghsh, Alireza Abu-Bakar, S. affil: Computer Vision, Video, and Image Processing (CvviP) Research Lab, Department of Electronics and Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai Malaysia sug: ab: This paper presents an automatic region of interest (ROI) segmentation method for application of watermarking in medical images. The advantage of using this scheme is that the proposed method is robust against different attacks such as median, Wiener, Gaussian, and sharpening filters. In other words, this technique can produce the same result for the ROI before and after these attacks. The proposed algorithm consists of three main parts; suggesting an automatic ROI detection system, evaluating the robustness of the proposed system against numerous attacks, and finally recommending an enhancement part to increase the strength of the composed system against different attacks. Results obtained from the proposed method demonstrated the promising performance of the method. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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