Detail publikace

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

DUTTA, M. SINGH, A. SONI, K. BURGET, R. ŘÍHA, K.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Brain tumor, feature points, wavelets, canny edge, morphological operations

Autoři

DUTTA, M.; SINGH, A.; SONI, K.; BURGET, R.; ŘÍHA, K.

Rok RIV

2013

Vydáno

2. 7. 2013

ISBN

978-1-4799-0402-0

Kniha

36th International Conference on Telecommunications and Signal processing

Strany od

648

Strany do

652

Strany počet

912

BibTex

@inproceedings{BUT100835,
  author="Radim {Burget} and Anushikha {Singh} and K. M. {Soni} and Malay Kishore {Dutta} and Kamil {Říha}",
  title="AUTOMATED BRAIN TUMOR SEGMENTATION USING NOVEL FEATURE POINT DETECTOR AND SEEDED REGION GROWING",
  booktitle="36th International Conference on Telecommunications and Signal processing",
  year="2013",
  pages="648--652",
  isbn="978-1-4799-0402-0"
}