Shadow Detection Using Multi-Features in SVM Classifier
Zhan Peng Wang, Jian Dong Tian, Yan Dong Tang, Yan Zhu Zhang, Yong Feng Xia, Ling Wang · Applied Mechanics and Materials · 2014
Shadows may cause many problems in computer vision, such as object recognition, image segmentation and video surveillance. In this paper, we present a new method to detect cast shadow in a single outdoor image. We build up an illumination model to explain the process of shadow formed, and through this model we introduce some useful features. The regions for extract features are acquired through canny edge detector, after a series of morphological operations. Then we use SVM classifier with a multi-kernel model to train these features for shadow region classification. Our results show that edges of shadow images can be detected effectively with our methods.