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Image segmentation is an essential step involved in most computer vision systems used in several areas such as engineering, communications, transportation, business, and social sciences. Besides, several techniques are employed to accomplish the task of segmentation for example (Threshold Based, Region Based, Edge Based, Clustering Based, Neural Network, and Partial Differential Equation). However, thresholding based techniques are the most frequently used techniques for segmentation due to its simplicity, easy to understand and implement. Thresholding in simple words can be defined as the process of dividing an image into multiple homogeneous classes. Mainly, thresholding techniques can be classified into two main categories namely Bi-level Thresholding (BT) and Multi-level Thresholding (MT) based on the number of thresholds selected. BT methods aim to find a single optimal threshold value …