Analysis of Platelet Aggregate Morphology Using 2-D Autocorrelation
fimorphv2 has been used to determine the two-dimensional morphology, specifically the length and width, of fluorescent platelet aggregates forming on a collagen coated surface under flow. The technique uses a fast, normalized two-dimensional autocorrelation procedure which is performed on a stack of binary images. The method is capable of performing background subtraction and selecting a threshold via a stacked triangle algorithm which uses a modified version of triangle_th (MATLAB file exchange: Gray image thresholding using the Triangle Method by Bernard Panneton ID: 28047). The method will also allow the user to provide background corrected images and specify the threshold.
Cite As
Thomas Colace (2025). Analysis of Platelet Aggregate Morphology Using 2-D Autocorrelation (https://www.mathworks.com/matlabcentral/fileexchange/28555-analysis-of-platelet-aggregate-morphology-using-2-d-autocorrelation), MATLAB Central File Exchange. Retrieved .
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- Sciences > Biological and Health Sciences > Biomedical Imaging >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > Morphological Operations >
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Inspired by: Gray image thresholding using the Triangle Method
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