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Dye stained areas were mapped based on digital image analysis.
Digital image analysis gives the relationship between local grey levels and the dye concentration.
Photographs and digital image analysis illustrated the interactions between TCE and the injected fluids.
Pore geometries are quantified with thin-section digital image analysis (DIA) from optical light microscopy.
The evaluation of mycelial morphology and physiology by digital image analysis is discussed also.
The morphological hit-or-miss transform (HMT) is a powerful tool for digital image analysis.
Geometric algorithms play an important role in computer graphics and digital image analysis.
Photography and digital image analysis were utilized to estimate the areas covered by the growth.
A method of measuring the cell structure of bread by digital image analysis is described.
Neural modeling techniques, including digital image analysis, were used to classify the pests.
By means of a digital image analysis system, homologue points are found on the two micrographs.
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