Clump splitting via bottleneck detection

  title={Clump splitting via bottleneck detection},
  author={Hong Zhang and Nilanjan Ray},
  journal={2011 18th IEEE International Conference on Image Processing},
Under-segmentation of an image with multiple objects is a common problem in image segmentation algorithms. This paper presents a novel approach for the splitting of clumps formed by multiple objects due to under-segmentation. The algorithm includes two steps: finding a pair of points for clump splitting, and joining the pair of selected points. In the first step, a pair of points for splitting is detected using a bottleneck rule, under the assumption that the desired objects have roughly convex… CONTINUE READING
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Recursive splitting of active contours in multiple clump segmentation

  • H.H.S. Ip, R.P.K. Yu
  • Electronics Letters, vol. 32, no. 17, pp. 1564…
  • 1996
1 Excerpt

A new splitting active contour model based on crossing detection

  • Shoichi Araki, Naokazu Yokoya, Hidehiko Iwasa, Haruo Takemura
  • Proceedings of the Second Asian Conference on…
  • 1995
1 Excerpt