In this paper we propose a new technique for image segmentation based on contour detection using image analogies principle. A set of artificial patterns are used to locate contours of any query image. Each pattern allow the location of contours corresponding to specific intensity variation. Boundaries are extracted based on the properties of located contours. In addition, elementary regions derived from the motion of contours in images are located and combined jointly with the boundaries for image segmentation. Experiments are conducted and the obtained results are presented and discussed. © 2014 Springer International Publishing.
CITATION STYLE
Bellili, A., & Larabi, S. (2014). Image segmentation by image analogies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8641 LNCS, pp. 143–151). Springer Verlag. https://doi.org/10.1007/978-3-319-09994-1_13
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