Feature Similarity Index Metric (FSIM) is an image quality assessment metric proposed by Zhang et al. in 2011. This paper will implement its algorithm functionality using Python.
The Otsu's method was proposed in 1979, which segmented images by maximizing variance between classes. In other words, the Otsu's method is a nonparametric segmentation method that divides an image into different regions based on the intensity of the pixels. This article will introduce the Otsu's method in two sections. First, we will understand the principles of the Otsu's method by reviewing the mathematical formulas in the literature. Finally, we will implement the details using Matlab/Python.