Title: An image analogy approach for multi-scale image segmentation

Authors: Asma Bellili; Slimane Larabi

Addresses: Computer Science Department, USTHB University, BP 32 El Aila, Algiers, Algeria ' Computer Science Department, USTHB University, BP 32 El Aila, Algiers, Algeria

Abstract: Image segmentation is one of the challenging tasks in image processing. This paper introduces a novel method for image segmentation based on image analogy principle. First, contours of source image are located using 14 pairs of stereo patches. Next, elementary regions, considered as areas between contours located using to successive pairs of patches. Finally, we define border's stability of neighbouring regions which constitutes the measure for regions merging. Three scales are defined giving three segmentations at three resolutions (low, intermediate and high). Experiments conducted on Wiezmann dataset, the obtained results are presented and compared to the state-of-the-art.

Keywords: image analogy; image segmentation; merging; contour detection; computational vision; multi scale; Wiezmann.

DOI: 10.1504/IJCVR.2018.095592

International Journal of Computational Vision and Robotics, 2018 Vol.8 No.6, pp.639 - 657

Received: 07 Nov 2017
Accepted: 25 Mar 2018
Published online: 11 Oct 2018 *

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