Saliency map is an efficient way to represent the salient objects in an image. In the area of object-based saliency, several researches have been accomplished. In these works, normal input images are taken in which salient region or arousal object are easily perceived by us. These experiments are validated based on ground truth obtained either from volunteers either through human eye fixation machine or based on viewer’s voting. But for complex images, salient locations are very confusing; therefore preparing ground truth is very difficult. In such images, results are varying with different state-of-the-art saliency model. To address this problem, this paper implements combine strategies to achieve composite saliency map which can incorporate the properties of every individual component maps. Fusion of saliency maps in this way can be utilized to generate good ground truth information which can be an alternate way of preparing ground truth unlike based on volunteers voting or through eye fixation machine. As this approach incorporates the concepts of reusability, therefore it may reduce the time and cost in the preparation of ground truth.