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

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

317

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.959017

Filename

959017