Localized Active Contour Model Based on Color and Texture Feature
Wenyi Liu · 2012
In this paper,a new localized energy active contour model combined with multiple features is proposed for image segmentation,especially for those images with the inhomogenous appearance features in foreground and background.It reformulates the localized segmentation energy to enhance its robustness to initialization.By introducing more fine 8-d HSV color space and structure tensor texture features of transform domain,it is able to segment images with weak object boundaries,images with visually similar color properties in foreground and background.Experimental result shows that the proposed model is exemplified on various images objects and its superiority over state of the art variational segmentation techniques is demonstrated.