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Wall crack detection device excellent in profile identification and filtering performances

A detection device and wall technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve problems such as excessive filtering, unsatisfactory noise reduction effect, and huge amount of calculation, and achieve the effect of enhancing detection ability

Inactive Publication Date: 2016-06-15
潘燕
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, scholars have proposed many filtering and smoothing algorithms for noisy contours, but there are generally problems such as huge amount of calculation, unsatisfactory noise reduction effect, and prone to target distortion caused by excessive filtering.

Method used

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  • Wall crack detection device excellent in profile identification and filtering performances
  • Wall crack detection device excellent in profile identification and filtering performances
  • Wall crack detection device excellent in profile identification and filtering performances

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] Embodiment 1: A wall crack detection device with good contour recognition filtering performance, including a common wall crack detection device and a target recognition device installed on the wall crack detection device, the wall crack detection device has a strong detection Ability, the target identification device can identify the target according to the target profile, and it is characterized in that it includes a modeling module, a segmentation module, a merging module and a filtering module;

[0024] The modeling module is used to establish the parameterized equation of the target profile: for a given target profile G(t), its arc length parameterized equation is expressed as G(t)=(x(t), y(t)), Where x(t) and y(t) represent the coordinates of the contour points respectively, t represents the parameters of the contour curve equation, and t∈[0,1];

[0025] The arc length parametric equation of the noisy contour is expressed as: G N (t)=G(t)+N1 (t)+N 2 (t)G(t), wher...

Embodiment 2

[0037] Embodiment 2: A wall crack detection device with good contour recognition and filtering performance, including an ordinary wall crack detection device and a target recognition device installed on the wall crack detection device, the wall crack detection device has a strong detection Ability, the target identification device can identify the target according to the target profile, and it is characterized in that it includes a modeling module, a segmentation module, a merging module and a filtering module;

[0038] The modeling module is used to establish the parameterized equation of the target profile: for a given target profile G(t), its arc length parameterized equation is expressed as G(t)=(x(t), y(t)), Where x(t) and y(t) represent the coordinates of the contour points respectively, t represents the parameters of the contour curve equation, and t∈[0,1];

[0039] The arc length parametric equation of the noisy contour is expressed as: G N (t)=G(t)+N 1 (t)+N 2 (t)G...

Embodiment 3

[0051] Embodiment 3: A wall crack detection device with good contour recognition filtering performance, including a common wall crack detection device and a target recognition device installed on the wall crack detection device. The wall crack detection device has a strong detection Ability, the target identification device can identify the target according to the target profile, and it is characterized in that it includes a modeling module, a segmentation module, a merging module and a filtering module;

[0052] The modeling module is used to establish the parameterized equation of the target profile: for a given target profile G(t), its arc length parameterized equation is expressed as G(t)=(x(t), y(t)), Where x(t) and y(t) represent the coordinates of the contour points respectively, t represents the parameters of the contour curve equation, and t∈[0,1];

[0053] The arc length parametric equation of the noisy contour is expressed as: G N (t)=G(t)+N 1 (t)+N 2 (t)G(t), wh...

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Abstract

The present invention discloses a wall crack detection device excellent in profile identification and filtering performances. The device comprises a common wall crack detection device and a target identification device mounted on the wall crack detection device. The identification device comprises a modeling module, a segmentation module, a merging module and a filtering module. According to the technical scheme of the invention, the target identification device is additionally arranged on the wall crack detection device, so that the detection capability of the wall crack detection device is effectively enhanced. The wall crack detection device can identify a target based the profile of the target. During the identification process, the profile noise of the target is effectively filtered, so that wall cracks can be found out.

Description

technical field [0001] The invention relates to the field of wall crack detection, in particular to a wall crack detection device with good contour recognition and filtering performance. Background technique [0002] In recent years, frequent earthquakes and serious phenomena such as tofu dregs engineering have caused cracks in the walls of many houses. Cracks in the wall seriously threaten the safety of human life and property. If the cracks in the wall can be found in time, accidents can be avoided to a certain extent. However, the current detection device for cracks in the wall has poor detection performance and cannot perform good filtering on the contour. The present invention was born to solve this problem. [0003] Target contour recognition is an important means of target recognition. Due to the influence of noise, quantization error and other factors in practical applications, the target contour will inevitably be distorted. In order to accurately describe the cont...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/46
CPCG06T7/0004G06T2207/20182G06T2207/30108G06V10/443
Inventor 潘燕
Owner 潘燕