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