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. 2017 Dec;12(12):2100–2105. doi: 10.4103/1673-5374.221170

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Copyright: © Neural Regeneration Research

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

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Histogram versus Otsu methods.

(A) Medical Image Processing, Analysis and Visualization (MIPAV) isolates a region of interest (ROI) containing 50% of muscle and 50% adipose tissue. A midpoint threshold is calculated using pixel signal intensity. (B) The Otsu method of isolating six square ROIs. Three ROIs are selcted on the muscle tissue and three are selected from adipose tissue. An auto-determined threshold is calculated using MIPAV and pixel signal intensity. (C) Bimodal histogram using of Midpoint method showing the muscle and fat peaks. The apex of each peak is used as a point of determination before both peaks average to determine the magic point.