Advanced Color Differentiation Approach for Basketball Hoops Detection

Accurate basketball hoop detection is essential for automated score detection systems. This paper presents an advanced color differentiation approach to enhance hoop visibility in challenging scenarios, such as when both basketball hoop and a court are painted with the same color. The proposed method applies additional mathematical transformations to the input image, and ensures precise differentiation of the hoop from the background. The approach uses image color segmentation and edge detection techniques in order to reliably determine the coordinates of the hoop. The entire score detection system is based on Raspberry Pi 5 platform. Experimental results demonstrate the effectiveness of this approach.