Object identification method for affine constant moment based on key point

An affine invariant, target recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as large amount of calculation, lack of good noise immunity, pollution, etc., to achieve improved accuracy, high The effect of targeting and adaptation

Inactive Publication Date: 2009-06-24
BEIHANG UNIV
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Problems solved by technology

[0004] However, the current affine invariant moments still have some shortcomings. For example, in the case of incomplete object contour segmentation and noise pollution in target extraction, there is no good anti-noise ability. If there is a good anti-noise Capability will bring the cost of large amount of calculation and complex algorithm

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  • Object identification method for affine constant moment based on key point
  • Object identification method for affine constant moment based on key point
  • Object identification method for affine constant moment based on key point

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Embodiment Construction

[0043] The following is a further description of the method proposed by this algorithm in combination with the process of vehicle identification:

[0044] The present invention is based on a key point affine invariant moment target recognition method, such as figure 1 As shown, it specifically includes the following steps:

[0045] The first step is image preprocessing, such as figure 2 Shown: The processing of the original acquired image includes grayscale, smoothing denoising and grayscale stretching.

[0046] Grayscale: The collected color image of the vehicle is grayscaled by the following formula. Among them, R, G, and B represent the three primary colors of red, green, and blue, respectively.

[0047] Gray=0.233R+0.587G+0.114B

[0048] Smoothing and denoising: the present invention uses Gaussian smoothing with a kernel size of 3*3, which is obtained by sampling a 2-dimensional Gaussian function, which can effectively eliminate noise and improve the target positionin...

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Abstract

A method for identifying objects based on affine invariant moments of key points comprises the steps as follows: (1) image pretreatment: processing primitive collecting images so as to reduce influence of invalid information such as noises on the following process, enhance useful information and improve the image intensification; (2) main contour extraction: extracting the main contour to object edge images so as to obtain edge images of an outer contour and filter an interior contour and useless contour branches; (3) key frame extraction: calculating a mass center of the target at first based on target gray images dissected, then extending a plurality of rays to the periphery taking the mass center as an extension point so as to seek for the closest gray extreme point in each ray direction and take all the gray extreme points as the key point assembly; (4) invariable characteristic extraction of affine: extracting affine invariable characteristics of the main contour of the objects and calculating of multistage affine invariable moment vector; (5) object identification: identifying the objects through the characteristic proposed in the step (4) and outputting recognition result.

Description

technical field [0001] The invention relates to an image target recognition method, in particular to a key point-based affine invariant moment target recognition method. Background technique [0002] In many intelligent image processing fields such as target recognition, geometric correction of remote sensing images, and image retrieval, it is necessary to extract the same feature quantity from multiple images obtained from different viewpoints, and use this feature quantity as the basis for subsequent processing. Since the relationship between images obtained under most viewpoint changes can be approximated by affine transformation, extracting affine invariant features has become a common problem in many technical fields. [0003] At present, the study of image affine invariant features has become one of the core issues of image target recognition. Scholars have proposed many theories and extraction methods of image affine invariant features in computer vision research, and...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/36G06K9/62
Inventor 李超庞心琪魏奇熊璋谢舒翼
Owner BEIHANG UNIV
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