Image segmenting method based on normalized coupling curve evolution model

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

Inactive Publication Date: 2012-06-27
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

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 in conjunction with 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 initializes the image contour curve, defines the inner and outer mean intensities u and v of the curve C, and based on the inner and outer mean intensities, 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 in 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 the level set function is a commonly used tool to represent images, and the active contour model based on the level set can be optimized by the method of gradient descent flow. Meanwhile, another optimization criterion was proposed by Yezzi et al., which is based on maximizing the mean strength of the regions inside and outside the segmentation curve. However, this method needs to be re-initialized during the curve evolution process, resulting in very s...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 杨明强陈雷陈达
Owner SHANDONG UNIV
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