Counting the Number of Objects of An Image Using Image Processing Algorithms Based on Open CV

Abstract

The number of objects counting is the estimation of objects in an image or video frame. It is a big challenging task in image processing. Some of main applications are counting blood cells in medical images, counting copper cores in wire, number of logs in timber truck, and monitoring crowds in meetings etc. This work presents a method of image edge detection with contour tracking to determine the exact number of objects in an image based on open computer vision (OpenCV) library. The experimental results show that OpenCV based algorithms are simple, with high code integration and accuracy.