In the Modern world, the propensity of the detecting most Salient objects are trending on a large scale. In the era of Computer and science and specially in the Image Processing, we tend to find out most feasible techniques which can extract the most relevant and salient features of the selected image database. We are provided with a few most usable image retrieval methods however still we are not satisfied with the output extracted from the used method. With the advancement of the technology and the Image processing techniques, we have new methods to highlight the Salient features. One of them is Graph based Visual Saliency. GBVS is the technique which produces the salient features in a very accurate and faster way and in an elaborated way. It produces the data in the activation map and then extracts the features from the original image. We have here used a few different images and using our proposed method tried to depict the results in a graphical and pictorial way. Our effort main motive is to highlight the features of an image in a wider manner. In this paper, we would learn how to show Salient part of an image but in a large scale. In this paper, it shows 80% Salient part of an image of GBVS.

Image Processing, Image Retrieval, Shape, Color, Graph based visual saliency, Content Based Image retrieval

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