TY - GEN
T1 - Adaptive λenhancement
T2 - 2009 IEEE Symposium on Computational Intelligence in Image Processing, CIIP 2009
AU - Tizhoosh, Hamid R.
PY - 2009
Y1 - 2009
N2 - λ-enhancement, introduced by Tizhoosh et al., is a contrast adjustment technique that uses involutive fuzzy complements to find the best gray-level transformation in order to increase the image contrast. Applied on medical images, λ-enhancement can provide good results with respect to visually perceived improvement of object-background discrimination. In this work, we provide two extensions of λ-enhancement. First we extend it to employ interval-valued fuzzy sets (special case of type II fuzzy sets), and second, we provide an adaptive version of both regular (type I) and interval-value (type II) fuzzy λ-enhancement. Using breast ultrasound images, we demonstrate the enhancement effect and compare them with the well-established CLAHE method (contrast-limited adaptive histogram equalization).
AB - λ-enhancement, introduced by Tizhoosh et al., is a contrast adjustment technique that uses involutive fuzzy complements to find the best gray-level transformation in order to increase the image contrast. Applied on medical images, λ-enhancement can provide good results with respect to visually perceived improvement of object-background discrimination. In this work, we provide two extensions of λ-enhancement. First we extend it to employ interval-valued fuzzy sets (special case of type II fuzzy sets), and second, we provide an adaptive version of both regular (type I) and interval-value (type II) fuzzy λ-enhancement. Using breast ultrasound images, we demonstrate the enhancement effect and compare them with the well-established CLAHE method (contrast-limited adaptive histogram equalization).
UR - http://www.scopus.com/inward/record.url?scp=67650507992&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67650507992&partnerID=8YFLogxK
U2 - 10.1109/CIIP.2009.4937872
DO - 10.1109/CIIP.2009.4937872
M3 - Conference contribution
AN - SCOPUS:67650507992
SN - 9781424427604
T3 - 2009 IEEE Symposium on Computational Intelligence in Image Processing, CIIP 2009 - Proceedings
SP - 1
EP - 7
BT - 2009 IEEE Symposium on Computational Intelligence in Image Processing, CIIP 2009 - Processing
Y2 - 30 March 2009 through 2 April 2009
ER -