title: RONI Based Secured and Authenticated Indexing of Lung CT Images.
abstract: Medical images need to be transmitted with the patient's information without altering the image data. The present paper discusses secured indexing of lung CT image (SILI) which is a secured way of indexing the lung CT images with the patient information. Authentication is provided using the sender's logo information and the secret key is used for embedding the watermark into the host image. Watermark is embedded into the region of Noninterest (RONI) of the lung CT image. RONI is identified by segmenting the lung tissue from the CT scan image. The experimental results show that the proposed approach is robust against unauthorized access, noise, blurring, and intensity based attacks.
authors.affiliation: Department of Computer Science and Engineering, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu 641 032, India.
authors.forename: I
authors.initials: I
authors.lastname: Jasmine Selvakumari Jeya
authors.affiliation: Department of Computer Science and Engineering, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu 641 032, India.
authors.forename: J
authors.initials: J
authors.lastname: Suganthi
mesh_terms: D000465:Algorithms; D019295:Computational Biology; D016494:Computer Security; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed / Q000592:standards* / Q000706:statistics & numerical data