Pictures are considered as a standout amongst the most imperative medium of passing on information. Understanding pictures and separating the data from them such that the data can be utilized for different undertakings is a critical part of Machine learning. Picture division is the methodology of separating the given picture into districts in light of a few properties. The grouping alludes to methodology of collection tests so that examples are comparative inside every gathering These gatherings are called groups. This undertaking addresses the issue of portioning a picture into distinctive districts. We investigate this issue by utilizing calculations like K-means and chart based calculation standardized cuts. We are going to look at these calculations by their time complexities.

Image processing Image Segmentation K-Means algorithm Normalized Cut algorithm