Title :
X-ray analysis of lake sedimentary patterns using nonlinear regularization filter
Author :
Kang, Moon Gi ; Johnson, Thomas C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Duluth, MN, USA
Abstract :
Laminated sediments from lakes are of great interest to paleoclimatologists interested in high resolution records of past climate change. Laminated sediments from Lake Malawi in East Africa are investigated by X-ray analysis. Due to the physical nature of sediments, X-ray images having penetrated through sediments are corrupted by signal dependent nonstationary noise, which affects the accuracy and precision of time-series and the spectral analysis of patterns. Therefore, a nonlinear pre-filtering algorithm is proposed to suppress the noise, so that more stable and reliable analysis can be obtained. The algorithm is based on the generalized weighted regularization
Keywords :
X-ray analysis; X-ray imaging; climatology; filtering theory; geophysical signal processing; image resolution; lakes; noise; nonlinear filters; sediments; East Africa; Lake Malawi; X-ray analysis; algorithm; generalized weighted regularization; high resolution records; lake sedimentary patterns; laminated sediments; noise suppression; nonlinear prefiltering algorithm; nonlinear regularization filter; past climate change; signal dependent nonstationary noise; spectral analysis; time-series; Additive noise; Filters; Image analysis; Lakes; Mathematical model; Pattern analysis; Sediments; Smoothing methods; Spectral analysis; X-ray imaging;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559613
