Color Image Segmentation Based on Spatial and Temporal Difference Sampling
Chen Pan, Cui Yuan Feng · Jisuanji gongcheng · 2012
Aiming at target detection problem of complex image,this paper presents a color image segmentation method based on spatial and temporal difference sampling.It locates a part of object and background as candidate regions for sampling.By sampling from high gradient pixels and learning by Extreme Learning Machine(ELM),it extracts object roughly.It simulates human visual nerve network,resamples from spatial and temporal discontinuities,and updates classification model by new sample.Experimental results show that the proposed method can extract object effectively from the complex scenes.