About: AUTOMATED BRAIN TUMOR SEGMENTATION USING NOVEL FEATURE POINT DETECTOR AND SEEDED REGION GROWING

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The conventional digital watermarking schemes uses a digital pattern like pseudorandom number sequence, a logo image or a digital signature as the watermark which has limitations in proving ownership of the watermark. This paper proposes a proficient digital watermark generation technique from biometric data which will be unique and can be logically owned to prove ownership. The issue of ownership of digital watermark is addressed in this paper. The biometric pattern of fingerprint is used to generate the digital watermark that has a stamp of ownership. The generated watermark has been studied for uniqueness and identification and has been used to watermark audio signals. Discrete cosine transformation is used for embedding the watermark in the image. Experimental results indicate that the watermark can survive the signal processing and maintain the perceptual properties of the host signal and hence satisfies the design requirements of digital watermarking. The extracte The conventional digital watermarking schemes uses a digital pattern like pseudorandom number sequence, a logo image or a digital signature as the watermark which has limitations in proving ownership of the watermark. This paper proposes a proficient digital watermark generation technique from biometric data which will be unique and can be logically owned to prove ownership. The issue of ownership of digital watermark is addressed in this paper. The biometric pattern of fingerprint is used to generate the digital watermark that has a stamp of ownership. The generated watermark has been studied for uniqueness and identification and has been used to watermark audio signals. Discrete cosine transformation is used for embedding the watermark in the image. Experimental results indicate that the watermark can survive the signal processing and maintain the perceptual properties of the host signal and hence satisfies the design requirements of digital watermarking. The extracte (en)
Title	AUTOMATED BRAIN TUMOR SEGMENTATION USING NOVEL FEATURE POINT DETECTOR AND SEEDED REGION GROWING AUTOMATED BRAIN TUMOR SEGMENTATION USING NOVEL FEATURE POINT DETECTOR AND SEEDED REGION GROWING (en)
skos:prefLabel	AUTOMATED BRAIN TUMOR SEGMENTATION USING NOVEL FEATURE POINT DETECTOR AND SEEDED REGION GROWING AUTOMATED BRAIN TUMOR SEGMENTATION USING NOVEL FEATURE POINT DETECTOR AND SEEDED REGION GROWING (en)
skos:notation	RIV/00216305:26220/13:PU104504!RIV14-MPO-26220___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(FR-TI4/151)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Burget, Radim Říha, Kamil
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	62558
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU104504
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Brain tumor, feature points, wavelets, canny edge, morphological operations (en)
http://linked.open.../riv/klicoveSlovo	canny edge morphological operations wavelets Brain tumor feature points
http://linked.open...ontrolniKodProRIV	[B916B3EB5F73]
http://linked.open...v/mistoKonaniAkce	Rome
http://linked.open...i/riv/mistoVydani	Neuveden
http://linked.open...i/riv/nazevZdroje	36th International Conference on Telecommunications and Signal processing
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Výzkum a vývoj technologie pro detekci emocí v nestrukturovaných datech
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Burget, Radim Říha, Kamil Dutta, Malay Kishore Singh, Anushikha Soni, K. M.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-07-02 (xsd:date)
number of pages	912 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-1-4799-0402-0
http://localhost/t...ganizacniJednotka	26220

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