22 August 1995 Automatic detection of particles in immunolabelled images by wavelet-based selective reconstruction
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Abstract
In order to automatically analyze electron immunomicroscopy images, we have developed a computerized scheme for the detection and characterization of nanometer-size metal particles. The method is based upon selectively reconstructing an orthogonal wavelet decomposition of the image through the use of wavelet coefficient thresholding. The method is designed to work irrespective of the background and of the structural content of the image. Results are presented for the analysis of immunogold labelling of muscle tissues.
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Jean-Christophe Olivo-Marin, "Automatic detection of particles in immunolabelled images by wavelet-based selective reconstruction", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); doi: 10.1117/12.217413; https://doi.org/10.1117/12.217413
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KEYWORDS
Wavelets

Particles

Wavelet transforms

Discrete wavelet transforms

Metals

Image analysis

Image filtering

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