Title :
Three dimensional spot detection by multiscale analysis
Author :
Cuartero, G. ; Meas-Yedid, V. ; Galy, V. ; Nehrbass, U. ; Olivo-Marin, J.-C.
Author_Institution :
Lab. d´´Analyse d´´Images Quantitative, Inst. Pasteur, Paris, France
fDate :
6/23/1905 12:00:00 AM
Abstract :
We present a method to detect and count spots in three dimensional fluorescence images coming from biological immunomicroscopy experiments. It is based on the multiscale product of subband images resulting from a undecimated three dimensional wavelet transform decomposition of the original 3D image, after thresholding of non-significant coefficients. The multiscale product of the filtered wavelet coefficients, which allows the multiscale peaks due to spots to be enhanced while reducing noise, combines information coming from different levels of resolution and gives a clear and distinctive characterization of the spots. The effectiveness of the method is illustrated on microscopy images of yeast cells
Keywords :
biological techniques; channel bank filters; image processing; image resolution; object detection; optical microscopy; wavelet transforms; 3D fluorescence images; 3D spot detection; biological immunomicroscopy; filtered wavelet coefficients; microscopy images; multiscale analysis; multiscale peaks; subband images; three dimensional fluorescence images; three dimensional spot detection; undecimated filter bank; wavelet transform decomposition; yeast cells; Fluorescence; Fungi; Immune system; Information filtering; Information filters; Microscopy; Noise level; Noise reduction; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.959017