Anatomical Structural Analysis and Automatic Segmentation and Encryption Methods for MR Images

P. Muthu Krishnammal¹ and P. Raju²

¹Assistant Professor, Sathyabama University, Chennai, India ²Senior analyst, Google Pvt Ltd, Hyderabed, India

DOI : http://dx.doi.org/10.13005/bbra/2250

ABSTRACT: The secrecy of the multimedia data likevideo imaging is now becoming very essential because of the huge exchange of information in the form of images is done very frequently over the modern communication network world.Hence it is very necessary to maintain network security and to use the efficientauthentication algorithms to maintain the high degree confidentiality in the applications such as Internet communication, military communication, Geographic information systems, sensitive visual aids, and confidential images used in telehealth technologies etc. This paper presents the literature survey on the different encryption and decryption methods addressed in the previous papers. Also, the automatic segmentation of the MR images using K-means and Fuzzy Clustering Means (FCM)are done and thereby, the encryption and decryption using two methods namely Chaos and Selective encryption and decryption methods are proposed. Then theperformance analysis is done using the probabilistic parameters like area, mean, standard deviation and entropy is done. Finally the comparison of the methods is done.

KEYWORDS: Automatic segmentation; K-Means; Fuzzy C means; Chaos encryption; Selective encryption; MR imaging

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