Detail publikace

Registration of image sequences from experimental low-cost fundus camera

Originální název

Registration of image sequences from experimental low-cost fundus camera

Anglický název

Registration of image sequences from experimental low-cost fundus camera

Jazyk

en

Originální abstrakt

This paper describes new registration approach for registration of low SNR retinal image sequences. We combine two approaches - Fourier-based method for large shift correction and Lucas-Kanade tracking for small shift and rotation correction. We also propose method for evaluation of registration results, which uses spatial variation of minimum value in intensity profiles through blood-vessels. We achieved precision of registration below 2.1 pixels, which is acceptable with regards to image SNR (around 10dB). The final averaging of registered sequence leads to improvement of image quality and improvement in SNR over 10 dB.

Anglický abstrakt

This paper describes new registration approach for registration of low SNR retinal image sequences. We combine two approaches - Fourier-based method for large shift correction and Lucas-Kanade tracking for small shift and rotation correction. We also propose method for evaluation of registration results, which uses spatial variation of minimum value in intensity profiles through blood-vessels. We achieved precision of registration below 2.1 pixels, which is acceptable with regards to image SNR (around 10dB). The final averaging of registered sequence leads to improvement of image quality and improvement in SNR over 10 dB.

Dokumenty

BibTex


@inproceedings{BUT110252,
  author="Radim {Kolář} and Bernhard {Hoeher} and Jan {Odstrčilík} and Bernhard {Schmauss} and Jiří {Jan}",
  title="Registration of image sequences from experimental low-cost fundus camera",
  annote="This paper describes new registration approach for registration of low SNR retinal image sequences. We combine two approaches - Fourier-based method for large shift correction and Lucas-Kanade tracking for small shift and rotation correction. We also propose method for evaluation of registration results, which uses spatial variation of minimum value in intensity profiles through blood-vessels. We achieved precision of registration below 2.1 pixels, which is acceptable with regards to image SNR (around 10dB). The final averaging of registered sequence leads to improvement of image quality and improvement in SNR over 10 dB.",
  address="Springer International Publishing",
  booktitle="Biomedical Image Registration",
  chapter="110252",
  doi="10.1007/978-3-319-08554-8_18",
  edition="Lecture Notes in Computer Science",
  howpublished="print",
  institution="Springer International Publishing",
  year="2014",
  month="july",
  pages="174--183",
  publisher="Springer International Publishing",
  type="conference paper"
}