Image processing project using Otsu's method of thresholding written in Python on Jupyter Notebook
The whole idea for this project was for me to test and compare Otsu's method to kNN/K-Means thresholding
Created by Kevin Kemmerer in Digital Image Processing
- kNN(k-nearest neighbor) initially requires some already known information so K-means thesholding was chosen instead.
- This K-means algo requires changing k value in the code depending on the number of colors you want the final image to contain.
- K-Means is a Machine Learning algorithm and in this instance is used for Clustering K amount of clusters
Clustering: Is the process of using Machine Learning and algorithms to identify how different types of data are related and creating new segments based on those relationships.
