DocumentCode :
134618
Title :
Finding the smallest circle containing the iris in the denoised wavelet domain
Author :
Rivas-Perea, Pablo ; Henning, Ryan ; Shaw, Bikash ; Hamerly, Greg
Author_Institution :
Dept. of Comput. Sci., Baylor Univ., Waco, TX, USA
fYear :
2014
fDate :
6-8 April 2014
Firstpage :
13
Lastpage :
16
Abstract :
Retinoblastoma is a pediatric ocular cancer typically indicated by leukocoria (white-eye pupillary reflex). Early detection of leukocoria can improve health outcomes when it indicates disease, and it can be easily seen in recreational photographs. As part of a system for automatic leukocoria detection, we propose an image processing algorithm for detecting the exact location and radius of the smallest circle containing the iris in an eye image. Our algorithms use both median filters and two-dimensional stationary wavelet transforms and achieve low error rates.
Keywords :
cancer; eye; image denoising; median filters; medical image processing; wavelet transforms; automatic leukocoria detection; denoised wavelet domain; disease; eye image; image processing algorithm; iris; low error rates; median filters; pediatric ocular cancer; recreational photographs; retinoblastoma; two-dimensional stationary wavelet transforms; white-eye pupillary reflex; Image color analysis; Image edge detection; Iris; Noise reduction; Wavelet transforms; iris; leukocoria; median filter; retinoblastoma; wavelets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Interpretation (SSIAI), 2014 IEEE Southwest Symposium on
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/SSIAI.2014.6806017
Filename :
6806017
Link To Document :
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