Desenvolvimento de sistema para detecção e remoção automática de sombras em imagens de ambientes interno

Abstract

The study in the area of Digital Signal Processing is one of the ones that most attract researchers due to the fact that many products or services today require image processing, since human beings are essentially visual. The present work has as its theme the Development of a System for the Automatic Detection and Removal of Shadows in Images of Indoor Environments. Where the objective is to deal with the subject of digital image processing in order to develop a system that is able to detect and remove shadows automatically, which is configured as a pre-processing step in computer vision tasks. The present work presents a shadow detection system based on the K-Nearest Neighbors (KNN) method, a non-parametric statistical method, widely used in image segmentation tasks. The approach used is very interesting since the results obtained show a rate of up to 85% of correctness in detecting shadow zones in the images.