Salient regions detection method inspired from human visual system anatomy
Aymen Azaza, Leila Kabbai, Mehrez Abdellaoui, Ali Douik · 2016
Human's Region of Interest is considered as one of the most challenges problems in visual perception field. Due to the huge amount of information carried out, the research in the field of human region of interest tries to avoid the data overload by choosing salient areas from the total visual scene to be processed at first. In this context, salient regions detection becomes an important task to achieve. Inspired from the Human's Visual System anatomy, we introduce an algorithm to detect salient area in an image, achieved by merging four maps: color, intensity, orientation and central map. Our approach was evaluated using MSRA dataset and the result showed better performance compared to recent methods in this field.