Title :
Wavelet methods for extracting objects from complex backgrounds
Author :
Strickland, Robin N. ; Hahn, Hee I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Abstract :
In previous work we use B-spline wavelets to detect Gaussian objects in Markov noise. The authors now generalize the method and use it to adaptively enhance images according to the detector output. They examine a class of multiscale matched filters implemented using the wavelet transform, and show how these filters may be employed to detect objects in complex backgrounds. In two contrasting applications they use the approach to detect microcalcifications in mammograms and ships in infrared images
Keywords :
Markov processes; diagnostic radiography; feature extraction; filtering theory; image enhancement; infrared imaging; matched filters; medical image processing; noise; splines (mathematics); wavelet transforms; B-spline wavelets; Gaussian objects detection; Markov noise; adaptive image enhancement; complex backgrounds; detector output; infrared images; mammograms; microcalcifications detection; multiscale matched filters; objects extraction; ships; wavelet methods; wavelet transform; Detectors; Discrete wavelet transforms; Filter bank; Gaussian noise; Matched filters; Object detection; Spline; Statistical analysis; Testing; Wavelet transforms;
Conference_Titel :
Image Analysis and Interpretation, 1996., Proceedings of the IEEE Southwest Symposium on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-3200-8
DOI :
10.1109/IAI.1996.493718
