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Search for: region-of-interest--roi
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    A new ROI extraction method for FKP images using global intensity

    , Article 2012 6th International Symposium on Telecommunications, IST 2012 ; 2012 , Pages 1147-1150 ; 9781467320733 (ISBN) Ehteshami, N. S. M ; Tabandeh, M ; Fatemizadeh, E ; Sharif University of Technology
    2012
    Abstract
    Finger-Knuckle-Print (FKP) is one of the newest biometrics. In this paper, a novel approach has been proposed to segment the Region of Interest (ROI) of a FKP image using the global intensity. This method upgrades the speed and accuracy of segmentation stage, as well as the pace of other steps of the procedure. This has been achieved by employing the area with maximum intensity in ROI extraction, instead of using the creases of the knuckle image. To confirm this improvement, lots of experiments have been performed and the method has been compared with the only existing schemes for ROI extraction suggested by Zhang and Kekre. At the end, the captured ROI images obtained by three methods have... 

    Content-Based medical image transmission against randomly-distributed passive eavesdroppers

    , Article 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021, 14 June 2021 through 23 June 2021 ; 2021 ; 9781728194417 (ISBN) Letafati, M ; Behroozi, H ; Hossein Khalaj, B ; Jorswieck, E. A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    Abstract
    In this paper, a content-aware medical image transmission scheme is investigated over a multiple-input single-output (MISO) channel in wireless healthcare systems. The multi-antenna-aided access point, as a source node, wishes to wirelessly send medical images of a patient to a trusted destination node, while multiple randomly-located totally passive and non-colluding eavesdroppers (Eves) try to wiretap the transmission. Considering the fact that not all regions of an image have the same importancy level from the security view-point, we first segment the image into two parts: the region of interest (RoI), which more likely contains important diagnostic information regarding the medical image... 

    Introducing a new method for estimation image complexity according to calculate watermark capacity

    , Article 2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008, Harbin, 15 August 2008 through 17 August 2008 ; 2008 , Pages 981-984 ; 9780769532783 (ISBN) Yaghmaee, F ; Jamzad, M ; Sharif University of Technology
    2008
    Abstract
    One of the most important parameters in evaluating a watermarking algorithm is its capacity. In fact, capacity has a paradoxical relation with other two important parameters: image quality and robustness. Some works have been done on watermarking capacity and a few on image complexities. Most works on watermarking capacity is based on information theory and the capacity values which are calculated based on these methods are very tolerate. In this paper we propose a new method for calculating image complexity based on Region Of Interest (ROI) concept. After that we analyze three complexity measures named: Image compositional complexity (ICC), Quad tree and ROI method, with three different...