Publication detail

Digital Identification Tags for Medical Fundus Images for Tele-Ophthalmology Applications

DUTTA, M. SINGH, A. SINGH, A. BURGET, R. PŘINOSIL, J.

Original Title

Digital Identification Tags for Medical Fundus Images for Tele-Ophthalmology Applications

English Title

Digital Identification Tags for Medical Fundus Images for Tele-Ophthalmology Applications

Type

conference paper

Language

en

Original Abstract

This paper proposes a method of inserting a digital pattern having patient identity in the medical image without tampering the medical information of the image. To attain imperceptible insertion of the digital pattern a frequency domain approach is used in the mid frequency band of the discrete cosine transform. The original medical image and the stego-image is compared and analyzed for all features and also tested for retaining of all features and medical information. Blood vessels have been extracted from the original and stego image and it has been established from experimental results that the features remains unaltered. Texture features also has been analyzed and experimental results indicates that the variation in the texture features is minimal and do not affect the medical information. The correlation of the features extracted is above 0.99 indicating the insertion of the digital pattern did not cause any loss of medical information in the image.

English abstract

This paper proposes a method of inserting a digital pattern having patient identity in the medical image without tampering the medical information of the image. To attain imperceptible insertion of the digital pattern a frequency domain approach is used in the mid frequency band of the discrete cosine transform. The original medical image and the stego-image is compared and analyzed for all features and also tested for retaining of all features and medical information. Blood vessels have been extracted from the original and stego image and it has been established from experimental results that the features remains unaltered. Texture features also has been analyzed and experimental results indicates that the variation in the texture features is minimal and do not affect the medical information. The correlation of the features extracted is above 0.99 indicating the insertion of the digital pattern did not cause any loss of medical information in the image.

Keywords

Fundus image, tele-opthalmology, medical image processing, image watermarking

RIV year

2014

Released

09.07.2015

Location

Berlin, Germany

ISBN

978-80-214-4983-1

Book

2014 37th International Conference on Telecommunications and Signal Processing (TSP)

Pages from

781

Pages to

784

Pages count

4

URL

BibTex


@inproceedings{BUT110233,
  author="Malay Kishore {Dutta} and Anushikha {Singh} and Abhilasha {Singh} and Radim {Burget} and Jiří {Přinosil}",
  title="Digital Identification Tags for Medical Fundus Images for Tele-Ophthalmology Applications",
  annote="This paper proposes a method of inserting a digital pattern having patient identity in the medical image without tampering the medical information of the image. To attain imperceptible insertion of the digital pattern a frequency domain approach is used in the mid frequency band of the discrete cosine transform. The original medical image and the stego-image is compared and analyzed for all features and also tested for retaining of all features and medical information. Blood vessels have been extracted from the original and stego image and it has been established from experimental results that the features remains unaltered. Texture features also has been analyzed and experimental results indicates that the variation in the texture features is minimal and do not affect the medical information. The correlation of the features extracted is above 0.99 indicating the insertion of the digital pattern did not cause any loss of medical information in the image.",
  booktitle="2014 37th International Conference on Telecommunications and Signal Processing (TSP)",
  chapter="110233",
  doi="10.1109/TSP.2015.7296372",
  howpublished="electronic, physical medium",
  year="2015",
  month="july",
  pages="781--784",
  type="conference paper"
}