1 The experiment shows that the excessive segmentation problem can be solved using our improved algorithm efficiently.

2 To solve segmentation problem of dynamic images, this paper presents an algorithm of 2-D minimum cross entropy based on genetic algorithm for dynamic image segmentation.

3 Aimed at the moving objects segmentation problem with a moving background, a method of segmentation and tracking of moving objects was proposed.

4 This kind of computation and segmentation problem has always been the concern of theory and enterprise circles.

5 Aimed at the motion segmentation problem in video sequence, a novel approach for detecting and segmenting multiple moving objects was presented based on level-set method.

6 Segmentation problem is used to separate the sequence into several segments, and all those segments present the whole sequence and meanwhile they do not have any effect on the vision impact.

7 Then the segmentation problem is formulated as Maximum a Posterior Probability (MAP) estimation rule.

8 The segmentation problem is the maximizing a posteriori estimation of the set of object area result from the watershed labeled.

9 Finally, according to the goal to build an international shanghai and to set up the harmonious society,[] the paper give some ideas about solving labor market segmentation problem.

10 The experiment results showed that the algorithm can avoid the error segmentation problem induced by camera movement. So it is robust to handle the videos under complex and dynamic scenes.

11 An adaptive marker extraction - based watershed algorithm is proposed to overcome the over - segmentation problem.

12 This paper proposes the method of decision-tree SVM on two levels pyramid image, it could solve the segmentation problem of multi-classes objects on aerial image.

13 A new method was proposed to solve the registration and segmentation problem of slice images for digital human dataset reconstruction.