Advanced Computing and Systems for Security: Volume 2 by Rituparna Chaki, Agostino Cortesi, Khalid Saeed, Nabendu
By Rituparna Chaki, Agostino Cortesi, Khalid Saeed, Nabendu Chaki
The booklet includes the prolonged model of the works which have been provided and mentioned within the moment foreign Doctoral Symposium on utilized Computation and defense platforms (ACSS 2015) held in the course of may possibly 23-25, 2015 in Kolkata, India. The symposium has been together equipped via the AGH college of technology & expertise, Cracow, Poland; Ca’ Foscari collage, Venice, Italy and college of Calcutta, India. The publication is split into volumes and provides dissertation works within the components of snapshot Processing, Biometrics-based Authentication, gentle Computing, information Mining, subsequent new release Networking and community safety, distant Healthcare, Communications, Embedded structures, software program Engineering and repair Engineering.
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Imaging 2, 129–174 (2000) 10. : A comparative study of deformable contour methods on medical image segmentation. Image Vis. Comput. 26(2), 141–163 (2008) 11. : Overview and fundamentals of medical image segmentation. In: Handbook of Medical Imaging, pp. 69–85. Academic Press Inc. (2000) 12. : Digital Image Processing: Concept, Algorithms, and Scientiﬁc Applications. Springer, New York (1997) 13. : Survey over image thresholding techniques and quantitative performance evaluation. J. Electron. Imaging 13(1), 146–165 (2004) 14.
17(5), 713–727 (2001) 9. : Image segmentation using deformable models. Handbook Med. Imaging 2, 129–174 (2000) 10. : A comparative study of deformable contour methods on medical image segmentation. Image Vis. Comput. 26(2), 141–163 (2008) 11. : Overview and fundamentals of medical image segmentation. In: Handbook of Medical Imaging, pp. 69–85. Academic Press Inc. (2000) 12. : Digital Image Processing: Concept, Algorithms, and Scientiﬁc Applications. Springer, New York (1997) 13. : Survey over image thresholding techniques and quantitative performance evaluation.
Full segmentation of processed image fragments was achieved by using statistical region merging and multilevel thresholding based on Otsu method. All binarized objects were combined into a fully segmented image (Fig. 10). The approach introduced in this paper expands the idea presented in the authors’ previous papers [14, 15] which concerned only edge detection. Much better results are achieved with this upgraded approach resulting in fully segmented binary images. Presented approach leaves possibility for future upgrades to obtain even better results.