Title :
Winding Number for Region-Boundary Consistent Salient Contour Extraction
Author :
Yansheng Ming ; Hongdong Li ; Xuming He
Author_Institution :
ANU, Canberra, ACT, Australia
Abstract :
This paper aims to extract salient closed contours froman image. For this vision task, both region segmentation cues (e.g. color/texture homogeneity) and boundary detection cues (e.g. local contrast, edge continuity and contour closure) play important and complementary roles. In this paper we show how to combine both cues in a unified framework. The main focus is given to how to maintain the consistency (compatibility) between the region cues and the boundary cues. To this ends, we introduce the use of winding number-a well-known concept in topology-as a powerful mathematical device. By this device, the region-boundary consistency is represented as aset of simple linear relationships. Our method is applied to the figure-ground segmentation problem. The experiments show clearly improved results.
Keywords :
computer vision; feature extraction; image segmentation; topology; boundary detection cues; figure-ground segmentation problem; linear relationships; region segmentation cues; region-boundary consistency; region-boundary consistent salient contour extraction; topology; vision task; winding number; Australia; Image edge detection; Image segmentation; Indexes; Junctions; Linear programming; Windings;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
Conference_Location :
Portland, OR
DOI :
10.1109/CVPR.2013.363