Multiresolution texture analysis for human oocyte cytoplasm description

In this work we present an approach based on image texture analysis to obtain a description of oocyte cytoplasm which could aid the medical expert in the selection of oocytes to be used for assisted insemination. More specifically, we describe some characteristics such as different levels of uniform...

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Bibliographic Details
Main Authors: Caponetti, L., Castellano, G., Corsini, V., Sforza, G.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical imaging
Discrete wavelet transforms
Humans
Image analysis
Image resolution
Image segmentation
Image texture analysis
Microscopy
Shape
Wavelet domain
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Summary:In this work we present an approach based on image texture analysis to obtain a description of oocyte cytoplasm which could aid the medical expert in the selection of oocytes to be used for assisted insemination. More specifically, we describe some characteristics such as different levels of uniformity and/or granularity in the oocyte cytoplasm, using multiresolution texture analysis applied to light microscope images. To this aim, we evaluate some statistical measures in the wavelet transform domain of image regions and classify them according to different levels of granularity. Preliminary experimental results on a collection of light microscope images of oocytes are reported to show the effectiveness of the proposed approach.
DOI:10.1109/MEMEA.2009.5167974