TY - GEN
T1 - New AM-FM analysis methods for retinal image characterization
AU - Murray, Victor
AU - Pattichis, Marios
AU - Soliz, Peter
PY - 2008
Y1 - 2008
N2 - We develop new amplitude-modulated frequencymodulated (AM-FM) based methods to address some issues associated with the semantic gap between visual and mathematical features presented by retinal diseases such as age-related macular degeneration (AMD). Through the processing of simulated and real, clinical retinal images we gain an understanding of the effects of basic morphological characteristics of lesions associated with AMD. Through synthetic simulations, we discuss how histograms of the instantaneous amplitude and the instantaneous frequency magnitude, extracted from different scales, can be used to differentiate between images of different sizes and edge sharpness, while maintaining invariance with respect to rotations. We show that AM-FM features extracted from low and very-low frequency scales can clearly differentiate between retinal images containing Temporal Concentrated Drusen (TCD) and Geographic Atrophy (GA). Shape, size, distribution and edge sharpness are visual features used by ophthalmologists in identifying lesions such as drusen. We propose the use of new AM-FM derived features to quantitatively define these visual descriptions.
AB - We develop new amplitude-modulated frequencymodulated (AM-FM) based methods to address some issues associated with the semantic gap between visual and mathematical features presented by retinal diseases such as age-related macular degeneration (AMD). Through the processing of simulated and real, clinical retinal images we gain an understanding of the effects of basic morphological characteristics of lesions associated with AMD. Through synthetic simulations, we discuss how histograms of the instantaneous amplitude and the instantaneous frequency magnitude, extracted from different scales, can be used to differentiate between images of different sizes and edge sharpness, while maintaining invariance with respect to rotations. We show that AM-FM features extracted from low and very-low frequency scales can clearly differentiate between retinal images containing Temporal Concentrated Drusen (TCD) and Geographic Atrophy (GA). Shape, size, distribution and edge sharpness are visual features used by ophthalmologists in identifying lesions such as drusen. We propose the use of new AM-FM derived features to quantitatively define these visual descriptions.
UR - http://www.scopus.com/inward/record.url?scp=70349696401&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2008.5074490
DO - 10.1109/ACSSC.2008.5074490
M3 - Conference contribution
AN - SCOPUS:70349696401
SN - 9781424429417
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 664
EP - 668
BT - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
T2 - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Y2 - 26 October 2008 through 29 October 2008
ER -