A Shadow Detection Algorithm Research Based on HSV Space Features and Texture Features
Xiaojuan Li · Journal of Shenyang Ligong University · 2012
In order to improve the accuracy,this paper proposes a shadow detection and removal algorithm based on the features of HSV space and texture.Either the area is covered by the shadow or not,it always has the same texture feature.Based on this point,the algorithm firstly detect the moving area in series images,and then in moving area,based on the different characteristics of shadow when in HSV space and its texture feature,it is detected from the moving target and it is removed disturbance for the following processing.Experimental results show that the proposed algorithm can detect the noise and shadow and remove them effectively.