Variational level set image segmentation method based on Landmark simplex constraint

Abstract

The invention discloses a variational level set image segmentation method based on Landmark simplex constraint, and belongs to the technical field of digital image processing. According to the method,prior landmark feature points of an image are converted into simplex constraints, level set expression of Landmark feature points is achieved, a variational level set image segmentation model based on Landmark simplex constraints is provided, and evolution of contours and prior points is achieved. For nonlinearity, non-convexity and non-smoothness of a segmentation model, auxiliary variables areintroduced to convert solving of a non-convex energy equation into a convex sub-problem, an alternating direction multiplier method is adopted, and a rapid projection method, a generalized soft threshold formula and a gradient descent method are comprehensively used for solving. Experimental results show that the variational level set image segmentation method based on the Landmark simplex constraint is high in segmentation performance, and the segmentation problem of noisy images, weak edge images and heterogeneous images can be solved robustly and efficiently. The obtained segmentation result is good in subjective visual effect and excellent in objective evaluation standard, and a foundation is laid for subsequent image feature extraction, interpretation and other applications.

Description

Technical field: [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a variational level set image segmentation method based on Landmark simplex constraints. Background technique: [0002] Image segmentation is a fundamental problem in computer vision and image processing. The purpose of segmentation is to divide the image domain Ω into subdomains with the same properties (intensity, color or texture, etc.) the union of . Existing image segmentation methods mainly include: threshold-based segmentation methods, region-based segmentation methods, edge-based segmentation methods, and segmentation methods based on specific theories. The Chinese patent with the patent number CN201210091548.2 discloses a level set image processing method, which is a threshold-based segmentation method. The steps include: reading the original image; preprocessing the acquired original image to obtain the predicted target Object; confirm ...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the shortcomings of priori features that cannot be integrated in the existing segmentation technology. Based on the level set framework, the simplex constraint is used to realize the expression of Landmark point features, and it is integrated into the existing variational segmentation model. A variational level set image segmentation method based on Landmark simplex constraints to achieve accurate and efficient image segmentation

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