Transactions on Computational Science XXV by Marina L. Gavrilova, C.J. Kenneth Tan, Khalid Saeed, Nabendu PDF

Science

By Marina L. Gavrilova, C.J. Kenneth Tan, Khalid Saeed, Nabendu Chaki, Soharab Hossain Shaikh

ISBN-10: 366247073X

ISBN-13: 9783662470732

ISBN-10: 3662470748

ISBN-13: 9783662470749

The LNCS magazine Transactions on Computational technological know-how displays contemporary advancements within the box of Computational technological know-how, conceiving the sphere now not as an insignificant ancillary technological know-how yet particularly as an leading edge strategy aiding many different clinical disciplines. The magazine specializes in unique fine quality study within the realm of computational technology in parallel and allotted environments, encompassing the facilitating theoretical foundations and the functions of large-scale computations and large information processing. It addresses researchers and practitioners in components starting from aerospace to biochemistry, from electronics to geosciences, from arithmetic to software program structure, providing verifiable computational equipment, findings and ideas and allowing business clients to use strategies of modern, large-scale, excessive functionality computational equipment. This, the twenty fifth factor of the Transactions on Computational technology magazine, involves elements. half I, that is visitor edited through Khalid Saeed, Nabendu Chaki and Soharab Hossain Shaikh, covers the components of laptop imaginative and prescient, photograph processing for biometric defense, details fusion, and Kinect job acceptance. The papers partly II specialize in optimization via novel equipment for information fusion, clustering in WSN, fault-tolerance, likelihood, weight project and threat analysis.

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5 Conclusion A robust and adaptive IR image enhancement approach using fuzzy sets is proposed in this paper. Modification of Fuzzified data is done using contrast intensification and enhancement operator. The novelty of the proposed method is the enhancement of the IR imagery using fuzzy sets, adaptive calculation of exponential and denomination fuzzifiers and testing the robustness of the proposed method. The exponential fuzzifier is calculated using sigmoid function with mean of the image as the parameter.

Infrared Millimeter Waves 29(2), 188–200 (2008) 14. : Morphological rational operator for contrast enhancement. J. Opt. Soc. Am. 28(3), 455–464 (2011) 15. : Hit-or-miss transform based infrared dim small target enhancement. Opt. Laser Technol. 43(7), 1084–1090 (2011) Perceptual Visualization Enhancement of Infrared Images Using Fuzzy Sets 19 16. : An improved infrared dim and small target detection algorithm based on the contrast mechanism of human visual system. Infrared Phys. Technol. 55(5), 403–408 (2012) 17.

Man Cybern. 11(7), 494–500 (1981) 19. : A new fuzzy logic based image enhancement. Biomed. Sci. Instrum. 33, 590–595 (1996) 20. : A comparative study on digital mamography enhancement algorithms based on fuzzy theory. Stud. Inform. Control 12(1), 21–32 (2003) 21. : Role of fuzzy and intuitionistic fuzzy contrast intensification operators in enhancing images. Notes Intuitionistic Fuzzy Sets 14(2), 59–66 (2008) 22. : Image enhancement using spatial domain techniques and fuzzy intensification factor.

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Transactions on Computational Science XXV by Marina L. Gavrilova, C.J. Kenneth Tan, Khalid Saeed, Nabendu Chaki, Soharab Hossain Shaikh


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