Salient region detection is one of a method which are commonly using in image processing. Image processing includes image compression, image retrieval, face recognition, collage making and also image retargeting. Salient regions are used as a preprocessing phase in many of these applications. A salient object can be computed by different detection methods. In this paper we study on different methods for salient region detection. Different results are compared with ground truth using MSRA dataset. In this paper we are considering color spatial variance map, segmentation map, and frequency tuned saliency map for comparing different salient detection methods. Index Terms – Color spatial variance, Frequency tuned saliency, Image processing, Salient region detection, Segmentation.