Visual Saliency Detection using Seam and Color Cues
Sk. Md. Masudul Ahsan, Aminul Islam · Advances in Science Technology and Engineering Systems Journal · 2021
Background Extraction Visual Attention Computer VisionHuman have the god gifted ability to focus on the essential part of a visual scenery irrespective of its background.This important area is called the salient region of an image.Computationally achieving this natural human quality is an attractive goal of today's scientific world.Saliency detection is the technique of finding the salient region of a digital image.The color contrast between the foreground and background present in an image is usually used to extract this region.Seam Map is computed from the cumulative sum of energy values of an image.The proposed method uses seam importance map along with the weighted average of various color channels of Lab color space namely boundary aware color map to extract the saliency map.These two maps are combined and further optimized to get the final saliency output using the optimization technique proposed in a previous study.Some intermediate combinations which are closer to the proposed optimized version but differ in the optimization technique are also presented in this paper.Several standard benchmark datasets including the famous MSRA 10k dataset are used to evaluate performance of the suggested procedure.Precision-recall curve and F-beta values found from the experiments on those datasets and comparison with other state of the art techniques prove the superiority of the proposed method.