Global image segmentation method of multi-resolution analysis

An image segmentation and multi-resolution decomposition technology, applied in the field of medical image processing, can solve the problem of not considering the image structure information, and achieve the effect of smooth and complete target boundary and high time efficiency

Active Publication Date: 2017-01-04
苏州伟易佳电子有限公司
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Problems solved by technology

However, the CV model has the following problems: First, by updating the gray mean value of these two regions to approximate the image
However, this method does not take into account the structural information of the image, so that the sharpened boundary still cannot be effectively captured

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  • Global image segmentation method of multi-resolution analysis
  • Global image segmentation method of multi-resolution analysis

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[0039] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0040] The invention discloses a global image segmentation method for multi-resolution analysis, comprising the following steps:

[0041] Step 1), using compact support wavelet transform to perform multi-resolution decomposition on the image to be analyzed;

[0042] Step 2), after reconstructing the decomposition coefficient obtained after multi-resolution decomposition into wavelet coefficient matrix A, it is applied to the level set function u used to represent the segmentation curve 1 Gradient term of , constituting the regular term of the segmentation curve containing multiresolution analysis information||Au 1 ||;

[0043] Step 3), the average gray value u in the area on both sides of the image segmentation curve to be analyzed 2 , u 3 After calculating the gradient, the Euclidean distance between the two gradients As a boundary regular t...

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Abstract

The invention discloses a global image segmentation method of multi-resolution analysis. The method comprises the following steps that firstly, compactly-supported wavelet transformation is used to decompose an image; then, taking a decomposed coefficient matrix which carries out reconstruction as a filter; secondly, the filter acquired through reconstruction is applied to a gradient item of a horizontal set function so as to form a new regular term; and then, based on an ideal condition, boundaries of an object and a background are fully fit, and a condition that a boundary regular item is used for maintaining a global optimal segmentation result is provided; and finally, a rapid dual algorithm is used to minimize variation models of a regular item containing multi-resolution information and a boundary regular item so as to realize evolution of a horizontal set curve. A medical nuclear magnetic resonance image segmentation experiment shows that an obvious capturing capability and high-efficient calculating time are possessed by using the method of the invention for a narrow and long topology structure, compared to a general active contour model.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a global image analysis algorithm for multi-resolution analysis. Background technique [0002] Image segmentation is a key issue in image processing. The purpose of image segmentation is to divide a given image into several sub-regions with different characteristics. The model based on the variational method and the evolution of partial differential equations transforms the segmentation problem into minimizing the energy functional and seeking its minimum solution as an approximation to the target boundary. Solving by adding various regularization constraints has been widely used in recent years. Mumford-Shah (MS) model [1] It is one of such models, which optimizes the approximation of the image based on the slice constant assumption, which is equivalent to dividing the image into several homogeneous regions with different characteristics. The Chan-Vese (CV) ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T2207/20116
Inventor 葛琦邵文泽谢世朋
Owner 苏州伟易佳电子有限公司
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