Interactive three-dimensional image segmentation method

Abstract

The invention provides an interactive three-dimensional image segmentation method. According to the conventional three-dimensional image segmentation method, a user is required to paint the consistent foreground and background lines in the left view and the right view, which is tedious. According to the method provided by the invention, the single image segmentation method can be expanded to the three-dimensional image segmentation, and the foreground and background lines are only required to be painted in the left view to acquire the consistent three-dimensional image segmentation result. The user can paint the foreground and background lines in the left view interactively, and sample the painting lines and the image boundary points, and extract the characteristic matching points of the left view and the right view, and then the triangle gridding of the left view can be built by using the vertexes and the sample line segments via the limited Delaunay triangulation method, and then the energy optimization equation can be constructed, and the gridding of the right view consistent to the gridding of the left view can be solved, and therefore the consistent painting lines of the left view and the right view can be acquired. The characteristic vectors can be used for searching the adjacent neighbor pixels of every pixel, and then the non-local linear optimization model can be built, and the image segmentation of the three-dimensional images of the left view and the right can be carried out respectively.

Description

technical field [0001] The invention relates to an image segmentation method, in particular to an interactive stereoscopic image segmentation method. Background technique [0002] Image segmentation is the technology and process of dividing an image into several specific regions with unique properties and proposing objects of interest. Undoubtedly, image segmentation is one of the most important components in digital image processing. Image segmentation technology is mainly used in medical images, machine vision, target detection and other fields. Because the image segmentation problem is essentially an under-constrained problem. Therefore, most image segmentation methods require users to provide additional information in order to realize the solution to image segmentation. According to the way of providing information, the current mainstream image segmentation methods are mainly divided into the following two ways: (1) providing trimap, that is, the user is pre-divided i...

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Problems solved by technology

In order to maintain the consistency of stereoscopic image segmentation, users need to paint the foreground and background colors in the left and right views respectively. In order to reduce user interaction, Tasli et al. proposed a stereoscopic image segmentation method. Users only need to paint the foreground in the left view. and background lines, and then migrate the painted lines through ORB (OrientedfastandrotatedBRIEF) feature detection, but the quality of this method depends entirely on the effect of feature detection. When the position feature points of the painted lines cannot be detected, the stereoscopic image segmentation results will be generate error

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