Abstract
This paper considers the problem of Images which is the most important medium of conveying information, Image mosaic is one of the process of partitioning a digital image into two or more segments. The goal of mosaic is to change and represent the image into more meaningful and easier to analyse and we perform secrecy of transferring data, generation of secret key and also performing the image mosaic process. By implementing Diffie Hellman key exchange protocol we can generate shared key between the users. An encryption technique Reverse Binary XOR Algorithm used which converts plain format data into unknown format. Least Significant Bit Technique for storing the cipher data then performs mosaic technique for segmenting image. In this paper we are using edge based technique for performing image mosaic process from these concepts we can provide secure transfer of data and also it improves the efficiency of network.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pandey, et al. “Volterra Filter Design for Edge Enhancement of Mammogram Lesions,” Proc. of (IEEE) 3rd International Advance Computing Conference, p. 1219–1222, February 2013. “Non-Linear Polynomial Filters for Edge Enhancement of Mammogram Lesions,” Computer Methods and Programs in Bio-medicine, vol. 129C, pp. 125–134, January 2016.
D. I. Barnea; and H. F. Silverman,“A class of algorithms for fast digital registration,” IEEE Trans. Comput, vol. C-21, pp. 179–186, 1972.
C. D. Kuglin and D. C. Hines,“ The phase correlation image alignment method”, in Proc. IEEE Int. Conf. Cybernet. Society, New York, NY, pp 163–165, 1975.
Lisa G. Brown. A survey of image registration techniques. ACM Computing Surveys, 24(4); pp 325–376, December 1992.
J. B. A. Maintz and M. A. Viergever, “A survey of medical image registration,” Med. Image Anal., vol. 2, no. 1, 1998, pp. 1–36.
A Can, C. V. Stewart, B. Roysam, H. L. Tanenbaum, “A Feature-Based Technique for Joint, Linear Estimation of High-Order Image-to-Mosaic Transformations: Application to Mosaicing the Curved Human Retina”, IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp: 585–591, 2000.
Inampudi, R. B.,“ Image mosaicing” in International Conference on Geoscience and Remote Sensing Symposium Proceedings, vol.5, pp 2363–2365,1998.
Battiato, G. Di Blasi, G. M. Farinella, and G. Gallo, “Digital mosaic framework: An overview,” Eurograph.—Comput. Graph. Forum, vol.26, no. 4, pp. 794–812, Dec. 2007.
C. H. Bindu and K. S. Prasad, “An efficient medical image segmentation using conventional OTSU method,” Int. J. Adv. Sci. Technol., vol. 38, pp. 67–74, Jan. 2012.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Surya Kumari, D., Bhavani, S.A. (2017). A New Iterative Hybrid Edge Technique Using Image Mosaic. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Computer Communication, Networking and Internet Security. Lecture Notes in Networks and Systems, vol 5. Springer, Singapore. https://doi.org/10.1007/978-981-10-3226-4_23
Download citation
DOI: https://doi.org/10.1007/978-981-10-3226-4_23
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3225-7
Online ISBN: 978-981-10-3226-4
eBook Packages: EngineeringEngineering (R0)