Method for sequence image segmentation based on movement forecast and three-dimensional constraining

Abstract

The invention discloses a segment method to image sequences based on motion prediction and partial three-dimensional constraints and in combination with an active contour model and belongs to the technical field of image processing. The invention takes a control point on the active contour model as a starting point of the deformation of a prediction model; the method expresses the gliding property and consistency of object changes as the consistency of the position changes of the control point and predicts the position of a corresponding control point of a next image in the sequence with the changing trend of the control point and then adopts a diamond search algorithm used by MPEG-4 by taking a predicted position as a matched initial searching position. The invention introduces the notion of the partial three-dimensional constraints as one of the energies of the active contour model, which avoids the influences caused by wrong matching and achieves better predicting effect under the condition of simplicity and small computational amount.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image sequence segmentation method based on motion prediction and partial three-dimensional constraints combined with an active contour model. Background technique [0002] 3D image segmentation is an important research field in image processing and computer vision, and is widely used in computer-aided 3D reconstruction, moving object tracking, and analysis of cell motion and deformation in medicine. The difference between a 3D image or an image sequence and a general image is that the sequence images are aimed at the same target, and the slices are obtained by continuous sampling at the same distance or time, so the segmentation of a 3D image has the same features as the general image segmentation. There are also special features. [0003] Traditional active contour models require the model to be initialized near the target contour, otherwise it may conv...

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Problems solved by technology

But the disadvantage is that the method is complex and the amount of calculation is relatively large.

And without improving the initialization position, the number of iterations will be more, which will increase the convergence time

[0007] 3. Three-dimensional deformation model method. The conventional three-dimensional deformation model method is to establish a three-dimensional contour model of the object as a whole. Although the correlation information of adjacent images is used, the model is complex, the calculation amount is large, and the initial position setting is difficult.

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