CHACT: Convex Hull Enabled Active Contour Technique for Salient Object Detection

In the domain of computer vision research, human's capability to distinguish salient objects from background has become an important ingredient. So far, the researchers are not able to propose an approach that balances the tradeoff between the computation time needed by humans and detection accuracy. This paper highlights an improved salient object detection (SOD) accuracy technique which does not demand high computation time. The accuracy of convex hull enabled active contour technique (CHACT) model is assessed with area under the curve, recall, precision, F-measure, mean absolute error, and computation time on six available publicly image datasets. The computation time of CHACT is comparatively less than many existing approaches and also improved accuracy for SOD.