This document describes techniques for object detection in images using Matlab. It detects multiple objects of different colors and shapes against a background. The key steps are: 1. Applying thresholding techniques like global, local, and adaptive thresholding to isolate objects from the background. Noise is also filtered out. 2. Using bounding boxes to find the center and boundaries of objects. Circular objects are detected by finding centers and radii. 3. Objects are counted using a simple counting program. The number of circular objects is also counted. 4. Green circular objects are isolated by identifying pixels within a specified RGB value range and applying a mask.