Color Feature Based Interest Objects Detection

Ill-defined object boundaries and imperfect extracted objects are the major problems existing in interest region detection methods.To address those problems,a new approach for interest region detection based on the amount of color feature information calculation is proposed.Through calculating the amount of color feature information,three color information maps can be obtained firstly.Then a saliency map will be generated by combining three information maps linearly.After thresholding and denoising,interest regions are highlighted.Experiment shows that the proposed method can highlight interest regions perfectly with well-defined boundaries.Additionally,compared with human labeled ground truth,the proposed method reaches 79.71% in recall and 78.53% in precision,which is higher than the existed methods.