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Image segmenting method based on normalized coupling curve evolution model

A technology of coupling curve and evolution model, applied in image enhancement, image data processing, instrument, etc., can solve problems such as low computational efficiency and sensitivity of initial contour position.

Inactive Publication Date: 2013-10-23
SHANDONG UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to solve the above problems and provide a graph cutting method based on the normalized coupling curve evolution model, which effectively solves the problems of sensitivity to the initial contour position and low calculation efficiency, and shows a good segmentation effect

Method used

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  • Image segmenting method based on normalized coupling curve evolution model
  • Image segmenting method based on normalized coupling curve evolution model
  • Image segmenting method based on normalized coupling curve evolution model

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Embodiment Construction

[0052] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0053] A graph cut method based on a normalized coupling curve evolution model, the implementation steps of the method are as follows:

[0054] Step1 Initialize the image contour curve, and define the inner and outer mean intensity u and v of the curve C. Based on the inner and outer intensity mean, the traditional SM energy function can be rewritten as:

[0055] E f SM = - 1 4 ( u - v ) ( u - v + u - v )

[0056] = ∫ R o - ...

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Abstract

The invention discloses an image segmenting method based on a normalized coupling curve evolution model. The curve evolution model is established on the thought of the mean intensity segmentation of an internal region and an external region of a maximized movable curve, and the energy of minimizing the coupling curve model is achieved by applying a normalized image segmenting method, so as to reach a final ideal segmentation effect. Shown by an experimental result, by using the method, the problems that the initial contour position is sensitive, the calculation efficiency is low, and the like, are effectively solved in the aspect of processing a natural image, a noise image and an image without an edge contour, and a favorable segmentation effect is represented.

Description

technical field [0001] The invention relates to a method in the technical field of image segmentation, in particular to a graph cutting method based on a normalized coupling curve evolution model, which can be used for image processing, computer vision and industrial automation detection. Background technique [0002] As we all know, image segmentation and boundary extraction are very important for image understanding, image analysis, pattern recognition, computer vision, etc. Traditionally, the active contour model based on level set function is a commonly used tool to represent images, and this active contour model based on level set can be optimized by gradient descent flow method. Meanwhile, another optimization criterion was proposed by Yezzi et al., which is based on maximizing the mean intensity of the regions inside and outside the segmentation curve. However, this method requires re-initialization in the process of curve evolution, resulting in very slow evolution ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 杨明强陈雷陈达
Owner SHANDONG UNIV
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