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Method for analysis of picture distortion based on constant moment

An analysis method and a technology of graphic distortion, applied in image data processing, 2D image generation, instruments, etc., can solve problems such as poor reliability, inability to detect and correct distortion, etc.

Active Publication Date: 2008-09-03
日照新睿招商发展有限公司
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Problems solved by technology

[0009] In order to overcome the shortcomings of existing dynamic shape model methods that cannot detect and correct distortion and have poor reliability during the search process, the present invention provides a method based on invariant moments that can effectively detect and correct distortion during the search process and has good reliability. Graphic Distortion Analysis Method

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  • Method for analysis of picture distortion based on constant moment
  • Method for analysis of picture distortion based on constant moment
  • Method for analysis of picture distortion based on constant moment

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Embodiment Construction

[0059] The present invention will be further described below in conjunction with the accompanying drawings.

[0060] refer to Figure 1 to Figure 4 , a kind of graph distortion analysis method based on invariant moment, described analysis method comprises: 1), select suitable moment invariant: in dynamic shape model, use point distribution model to represent the object outline in the image, select following six Equations as moment invariants describing object contours:

[0061] φ 1 =(η 30 -3η 12 )(η 03 +η 21 )[(η 30 +η 12 ) 2 -3(η 03 +η 21 ) 2 ]+(3η 21 -η 03 )(η 21 +η 03 )×[3(η 30 +η 12 ) 2 -(η 21 +η 03 ) 2 ]

[0062] φ 3 =3(η 21 -η 03 )(η 30 +η 12 )[(η 30 +η 12 ) 2 -3(η 03 +η 21 ) 2 ]+(3η 12 -η 30 )(η 21 +η 03 )×[3(η 30 +η 12 ) 2 -(η 21 +η 03 ) 2 ]

[0063] φ 4 = ( η 40 - 6 η ...

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Abstract

An image aberration analysis method based on invariant moments is disclosed, comprising the steps of: 1) selecting proper moment invariable, and in a dynamic structure model, using point distribution model for expressing the object outline in the image; 2) active detection method of the model aberration: 2.1) for PDM in the dynamic structure model, wherein each marking point includes the corresponding weight, decomposing one PDM to a sub-image according to the weight; 2.2) computing the border moment invariable of each sub-image after training and gathering each sub-image and the models to deform in the set range; then computing the convergence central values of these border moment invariables; 2.3) the aberration detection for the model comprising the steps of: (1) partitioning the deformed models according to the predefined partitioning strategy; (2) computing the border moment invariable of each sub-image; (3) computing the aberration possibility of each sub-image in light of the formula (2), (3) and (4); (3) active correction method for the model aberration. The invention can efficiently detect and correct the aberration in the process of search, including the outstanding reliability.

Description

technical field [0001] The present invention relates to the field of graphics and images, especially a method for analyzing graphics distortion. The method combines dynamic body model methods, image processing, computer graphics, medicine, mathematics, applied physics, statistics, biology and other technologies, and is mainly used for Analyze image fitting quality, especially for shape segmentation and morphological distortion analysis in medical images. Background technique [0002] Deformable model is an effective image segmentation, registration and recognition technology developed in the late 1980s. Deformable models have the ability to change shapes, which can represent flexible objects. Applying the deformable model to the image can find objects to be segmented, registered or recognized on the image through deformation. Deformable model methods generally consist of two phases, the training phase and the actual matching phase. [0003] Generally, there are two ways t...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/64G06T11/00
Inventor 陈胜勇张剑华许艺强陈敏刘盛
Owner 日照新睿招商发展有限公司
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