Comparison of threshold algorithms for automatic processing of fat crystal microscopic images based on ImageJ
Miao Xiong,
Ang Qi,
Lu Zhang
Abstract:Microscopic image analysis is a crucial tool in fat crystallization research, enabling the analysis of crystal size, network structure, fractal dimension and other parameters through binarization. It is essential to seek an appropriate thresholding algorithm to binarize fat crystal images, which plays a vital role in image segmentation. In this article, the effectiveness of 17 thresholding algorithms such as Default, Mean, IsoData, Otsu, Li and Triangle were analyzed in processing fat crystal images with diffe… Show more
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