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Landscape modeling detection tool realizing rapid detection

A detection tool and landscape technology, which is applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problems of unsatisfactory noise reduction effect, huge amount of calculation, target distortion, etc., achieve good recognition effect, filter out landscape outlines Noise and burden reduction effect

Inactive Publication Date: 2016-03-30
肖锐
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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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  • Landscape modeling detection tool realizing rapid detection
  • Landscape modeling detection tool realizing rapid detection
  • Landscape modeling detection tool realizing rapid detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] Embodiment 1: a landscape modeling detection tool for rapid detection, comprising a common landscape modeling detection tool and a recognition device installed on the landscape modeling detection tool, the landscape modeling detection tool can recognize the landscape outline, and it is characterized in that it includes building module, segment module, merge module and filter 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)+N 1 (t)+N2 (t)G(t), where the additive noise part N 1 (t)=N 1 (x 1 (t),y 1 (t)), the multiplicative noise part N 2 (t)=N 2 (x 2 (t),y ...

Embodiment 2

[0037] Embodiment 2: A landscape modeling detection tool for rapid detection, comprising a common landscape modeling detection tool and a recognition device installed on the landscape modeling detection tool, the landscape modeling detection tool can recognize the landscape outline, and is characterized in that it includes building module, segment module, merge module and filter 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(t), where the additive noise part N 1 (t)=N 1 (x 1 (t),y 1 (t)), the multiplicative noise part N 2 (t)=N 2 (x 2 (t),y ...

Embodiment 3

[0051] Embodiment 3: A landscape modeling detection tool for rapid detection, comprising a common landscape modeling detection tool and a recognition device installed on the landscape modeling detection tool, the landscape modeling detection tool can recognize the landscape outline, and its feature is that it includes a building module, segment module, merge module and filter 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), where the additive noise part N 1 (t)=N 1 (x 1 (t),y 1 (t)), the multiplicative noise part N 2 (t)=N 2 (x 2 (t),y 2 (...

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Abstract

The invention discloses a landscape modeling detection tool realizing rapid detection. The landscape modeling detection tool comprises a common landscape modeling detection tool and an identification apparatus installed on the landscape modeling detection tool, wherein the identification apparatus comprises a modeling module, a segmentation module, a merging module and a filtering module. According to the invention, through additional arrangement of the identification apparatus on the landscape modeling detection tool, the landscape modeling detection tool can identify a landscape contour, can effectively filter landscape contour noise in the identification process and realizes a good identification effect. An identification result is vivid and visual, whether the contour is a specific shape can be easily seen, at the same time, accurate contour support is provided for the next step of modeling, and the burden of people is greatly mitigated.

Description

technical field [0001] The invention relates to the field of landscape modeling, in particular to a landscape modeling detection tool for rapid detection. Background technique [0002] From ancient times to the present, human beings have never stopped pursuing beauty. Garden landscape modeling has become an important part of urban construction. Landscape modeling detection tools are essential tools for stylists in the modeling process. However, stylists are not sensitive to landscape contours with their naked eyes, and the recognition efficiency of traditional landscape modeling detection tools is low. , the speed is slow, and there is a lot of blindness in the modeling process, which greatly increases the workload of the stylist. A fast detection tool for landscape modeling needs to be developed urgently. [0003] Target contour recognition is an important means of target recognition. Due to the influence of noise, quantization error and other factors in practical applica...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32
CPCG06V20/52G06V10/255
Inventor 肖锐
Owner 肖锐
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