Skeleton detection system and skeleton detection method for noise image

A detection system and detection method technology, applied in the field of computer vision, can solve problems such as poor robustness, and achieve the effect of easy implementation, good robustness advantages, and simple structure

Active Publication Date: 2020-01-17
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the technical problems existing in the prior art, the present invention provides a skeleton detection system and detection method oriented to noise images to solve the problem of poor robustness when processing a large number of noise images in the prior art, and the extracted skeleton images contain many abnormal Related information on technical issues

Method used

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  • Skeleton detection system and skeleton detection method for noise image

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Embodiment 1

[0054] A kind of skeleton detection system oriented to noise images of the present invention comprises eight skeleton filters, each skeleton filter comprises a pair of two-dimensional Gabor-like filters with mutually opposite directions; each Gabor-like filter It consists of a pair of positive and negative Gaussian filters, where the positive Gaussian filter is located at the center and the negative Gaussian filter is located at the surrounding position, which ensures that each skeleton filter has reflection symmetry; among them, the The absolute value is uniformly normalized so that the sum of positive and negative in each skeleton filter is zero, ensuring that each skeleton filter has a zero-sum structure.

[0055] The eight skeleton filters are respectively set in eight directions of the x-y plane of the Cartesian coordinate system, among which the skeleton filters in seven directions are obtained by rotating the skeleton filters in one direction in the x-y plane of the Cart...

Embodiment 2

[0068] The principle of embodiment 2 is basically the same as that of embodiment 1, except that in embodiment 2, the positive Gaussian filter is located at the center, and the negative Gaussian filter is located at the surrounding position.

[0069] When utilizing the skeleton detection method described in embodiment 1 to carry out noise image detection, the skeleton feature image obtained is as attached Image 6 As shown, the noise interference in the noise image to be detected can be processed very robustly, and it is suitable for the brightness of the target object in the noise image to be detected is lower than that of the background image.

Embodiment 3

[0071] When there is a part in the same noise image to be detected that the brightness of the target object is higher than that of the background image, and there is also a part in which the brightness of the target object is lower than the background image, for this noise image to be detected, after processing using Embodiment 1 and Embodiment 2 respectively, The results obtained in Embodiment 1 and Embodiment 2 are combined by an addition operation to realize the processing of the noise image with different brightness of the target object in the noise image to be detected.

[0072] When utilizing the skeleton detection method described in embodiment 3 to carry out noise image detection, the skeleton feature image obtained is as attached Figure 7 As shown, the noise interference in the noise image to be detected can be processed very robustly, and it is applicable to the noise image to be detected in various situations.

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Abstract

The invention discloses a noise image-oriented skeleton detection system and detection methodThe system comprises a plurality of skeleton filters, and each skeleton filter is provided with a zero-sumstructure and a reflection symmetry structure; wherein the plurality of skeleton filters are respectively arranged in n directions of an x-y plane of a Cartesian coordinate system, and the plurality of skeleton filters are rotationally and symmetrically distributed. According to the invention, the filtering of uniform noise distribution is realized by adopting the skeleton filter with zero summation; the reflection symmetric skeleton filtering is adopted, so that the noise distribution without a symmetric structure is filtered; a plurality of skeleton filters are rotationally and symmetricallyarranged, and the centers of connecting lines in two opposite directions in each skeleton filter are skeleton points, so that skeleton detection of a noise image is realized; the method is simple instructure and easy to implement, and has a very good robustness advantage for noise image skeleton extraction.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a skeleton detection system and detection method for noise images. Background technique [0002] The object skeleton is an abstract representation method based on the object structure, which stores each point at the central axis where the boundary of the specific object is equal, and the distance is the radius of the relevant inner sphere; the skeleton feature can simultaneously explain the structural information of the object and each component The associated information of , has extensive research in the field of computer vision. For deformable objects, skeleton features provide a concise and effective low-dimensional representation method, and can be applied in a variety of scenarios, such as: object recognition and retrieval, natural scene text detection, pose estimation, shape matching, character positioning, Medical diagnosis and lane line detection and other field...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06K9/00G06K9/40
CPCG06V20/00G06V10/30
Inventor白秀秀叶乐乐杨明刘哲
OwnerXI AN JIAOTONG UNIV