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Sediment recognition method and sediment recognition system based on image fusion

A sediment and image technology, applied in interdisciplinary fields, can solve the problems of sediment particle recognition without image fusion, high cost, and environmental damage

Inactive Publication Date: 2013-03-06
JIANGSU ZHENGYUAN INFORMATION TECH
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AI Technical Summary

Problems solved by technology

[0013] 1. Traditional sediment sampling will damage the environment, and the excavation process is prone to accidents
[0014] 2. The cost of sampling is very high, so large-scale sampling cannot be performed
[0015] 3. The identification of sediment particles does not use image fusion, and rarely uses digital image processing, decision recognition and other technologies
Lack of multi-dimensional and three-dimensional concepts and technologies

Method used

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  • Sediment recognition method and sediment recognition system based on image fusion
  • Sediment recognition method and sediment recognition system based on image fusion

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Embodiment Construction

[0034] The overall structure of the system is shown in figure 1 shown.

[0035] The overall function of the system is divided into three parts:

[0036] 1. Multi-dimensional image acquisition;

[0037] 2. Multi-dimensional image fusion;

[0038] 3. Identification of the size ratio of sediment particles.

[0039] In the process of image collection, experts in the field generally decide the sample points and range to be collected. Due to the use of digital photography, the cost is very low, so a large number of samples can be collected.

[0040] Image preprocessing: When acquiring sediment grading images, due to the limitation of the pixels of the digital camera itself, the interference of the external complex environment - such as uneven illumination, low air visibility, other human and mechanical factors in the process of shooting, transmission and processing Due to various factors and other reasons, the obtained sediment gradation image is blurred and low in quality, and ...

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Abstract

Disclosed are a sediment recognition method and a sediment recognition system based on image fusion. The sediment recognition system is a novel digital recognition system for sediment particle size and proportion. Natural sediment is recognized completely by information processing and artificial intelligence decision technology. The sediment recognition method includes: shooting to-be-recognized sediment, and processing according to the shot pictures. The sediment recognition method and the sediment recognition system are modified. The sediment recognition system comprises a multi-dimensional image data acquisition part, a multi-dimensional image data fusion part and a sediment particle size and proportion recognition and intelligent decision part. Sediment particle size and proportion are recognized on the basis of image fusion due to three-dimensional inherent attribute, multi-dimensionality and irregularity of sediment and according to image processing technology, especially technology for making two-dimensional images three-dimensional.

Description

technical field [0001] The invention relates to the interdisciplinary subject of hydraulics and information science. Background technique [0002] Based on the importance of sediment particle gradation, how to obtain the required sediment particle gradation has become an important basic scientific issue. Since 1950, my country's river hydrology community has carried out the analysis of sediment particles, and has used traditional sediment particle analysis methods such as particle size meter method, straw method, extinction method, and sieving method. In recent years, a more advanced method, the laser method, has been gradually formed. Now briefly discuss the instruments, procedures, advantages and disadvantages of various methods of testing sediment particle gradation. [0003] Ruler method: The required instruments mainly include separating sieves, vernier calipers, scales, etc. Firstly, the sediment sample is separated with a separating sieve to separate the large-grai...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 王红军李天瑞赵巍
Owner JIANGSU ZHENGYUAN INFORMATION TECH
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