Micro image characteristic extracting and recognizing method

An image feature extraction and feature extraction technology, applied in the field of image processing, can solve problems that do not reflect the essence of the neural network system

Inactive Publication Date: 2002-12-11
TSINGHUA UNIV
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Problems solved by technology

As for the neural network edge detection method, although there are many algorithms that can be converted into neural network implementations, they do not reflect the essence of t

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  • Micro image characteristic extracting and recognizing method
  • Micro image characteristic extracting and recognizing method
  • Micro image characteristic extracting and recognizing method

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Embodiment Construction

[0035] The content and realization principle of the present invention are described in detail below through a preferred embodiment of the present invention in conjunction with the accompanying drawings:

[0036] A method for feature extraction and recognition of a microscopic image proposed by the present invention, which includes two parts: extraction of microscopic image features and recognition of features, such as image 3 As shown, wherein, image feature extraction includes the following steps:

[0037] 1) Enlarge a specific image to become a microscopic simulation image,

[0038] 2) digitize the microscopic image to become a digitized image,

[0039] 3) Binarize the digitized image into a binary image,

[0040] 4) Carry out the feature extraction of edge position to this binary image,

[0041] 5) and normalize the feature and save the feature template;

[0042] Image feature recognition includes the following steps:

[0043] 6) The image to be recognized is microsco...

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Abstract

The present invention relates to image processing technology, and the micro image characteristic extracting and recognizing method includes two parts, the extraction of micro image characteristic andthe recognition of characteristics. The extraction includes the micro enlargement of image, digitizing the analog micro image, binarization processing, characterizing the position information of digital image with normalized coordinates and information re-processing and template preserving. The recognition includes micro enlargement of the image to be recognized, digitizing the image, edge information extraction of the digitized image and the comparison between the edge information and the stored characteristic template. Maximum error limit criterion is used in judging the truth of image. Thepresent invention is especially suitable for recognition and anti-fake of volualbe security and document.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to feature extraction and feature recognition of microscopic images. Background technique [0002] Microscopic images are widely used in remote sensing, research on fractal characteristics of reservoirs, research on microscopic profile characteristics on the surface of optical components, microscopic characteristic analysis of nano-silicon thin film interface structure, and material detection. For different microscopic image features and application purposes, the methods of feature extraction and recognition are different, and there is no unified model. Taking a fingerprint recognition method based on structural features as an example, the extraction and recognition of image features are illustrated. The feature extraction of this fingerprint identification method includes the following steps: collecting fingerprint images and converting them into digital images for input ...

Claims

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Application Information

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IPC IPC(8): G06K9/46
Inventor 王伯雄朱从锋罗秀芝陈华成刘振江陈大年
Owner TSINGHUA UNIV
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