AUTOMATED BRAIN TUMOR SEGMENTATION USING NOVEL FEATURE POINT DETECTOR AND SEEDED REGION GROWING
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU104504" target="_blank" >RIV/00216305:26220/13:PU104504 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
AUTOMATED BRAIN TUMOR SEGMENTATION USING NOVEL FEATURE POINT DETECTOR AND SEEDED REGION GROWING
Popis výsledku v původním jazyce
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 extracted biometric based watermark was uniquely identified under signal processing attacks by matching of the feature points.
Název v anglickém jazyce
AUTOMATED BRAIN TUMOR SEGMENTATION USING NOVEL FEATURE POINT DETECTOR AND SEEDED REGION GROWING
Popis výsledku anglicky
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 extracted biometric based watermark was uniquely identified under signal processing attacks by matching of the feature points.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/FR-TI4%2F151" target="_blank" >FR-TI4/151: Výzkum a vývoj technologie pro detekci emocí v nestrukturovaných datech</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
36th International Conference on Telecommunications and Signal processing
ISBN
978-1-4799-0402-0
ISSN
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e-ISSN
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Počet stran výsledku
912
Strana od-do
648-652
Název nakladatele
Neuveden
Místo vydání
Neuveden
Místo konání akce
Rome
Datum konání akce
2. 7. 2013
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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