Contour detection by image analogies

In this paper we deal only contour detection based on image analogy principle which has been used in super resolution images, texture, curves synthesis and interactive editing. Human is able to hand drawn best outlines that may considered as benchmarks for contour detection and image segmentation algorithms. Our goal is to model this expertise and to pass on it at the computer for contour detection. Giving a reference image where outlines are drawn by human, we propose a method based on the learning of this expertise to locate outlines of a query image in the same way that is done for the reference. Experiments are conducted on different data sets and the obtained results are presented and discussed.