Download Advances in Image And Video Segmentation by Yu-jin Zhang PDF

By Yu-jin Zhang

Photograph and video segmentation is likely one of the most important projects of photograph and video research: extracting info from a picture or a chain of pictures. within the final forty years, this box has skilled major development and improvement, and has led to a digital explosion of released details. Advances in photograph and Video Segmentation brings jointly the most recent effects from researchers occupied with cutting-edge paintings in snapshot and video segmentation, offering a set of recent works made by way of greater than 50 specialists around the globe.

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On the other hand, efficiency and reliability are also required for implementing the grouping strategy itself. Reliability precludes the use of greedy contour-finding methods because they are prone to local minima. However, the use of dynamic-programming strategies is prohibitive due to the quadratic complexity with the number of contour points. However, we should exploit the fact that under certain assumptions such a complexity can be reduced to linearity. In this section we describe how to combine junction detection and grouping through connecting paths, provided that such paths exist, in order to obtain a geometric Copyright © 2006, Idea Group Inc.

This means that the stochastic distortion is greater at the beginning of the process (in order to keep the search away from local optima) than at the latest stages when the search is supposed to be caught in the basin of the global minimum. ” From the optimization point of view, the key fact about such a diffusion is that, for a fixed temperature T(t) it implements a stochastic process whose stationary distribution is P(x); in our particular case we have that P (x) ∝ exp(− H ( x) / T (t )) . ” This means that in the limit, the stochastic process converges, with uniform probability, to one of the global minimizers of H.

Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. Optimal Image Segmentation Methods Based on Energy Minimization 43 Figure 15. Junction detection results (Left) and grouping results (Right) Lbest – Lj > Z×L0, that is, L j > Lbest – Z×L0 (61) where Lbest is the length of the best path so far and Z ≥ 0 sets the minimum allowed difference between the best path and the rest of paths. For low Z, we introduce more pruning and consequently increase the risk of loosing the true path.

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