CN108921813A - 一种基于机器视觉的无人机检测桥梁结构裂缝识别方法 - Google Patents
一种基于机器视觉的无人机检测桥梁结构裂缝识别方法 Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 8
- 238000005259 measurement Methods 0.000 claims abstract description 9
- 238000003708 edge detection Methods 0.000 claims abstract description 7
- 238000001914 filtration Methods 0.000 claims description 20
- 238000012360 testing method Methods 0.000 claims description 16
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30132—Masonry; Concrete
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Cited By (8)
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CN109631854A (zh) * | 2018-12-19 | 2019-04-16 | 西安科技大学 | 一种低空无人机摄影测定矿区采煤塌陷裂缝方法 |
CN110175987A (zh) * | 2019-04-23 | 2019-08-27 | 江西科技学院 | 一种桥梁裂缝检测方法及*** |
CN111311559A (zh) * | 2020-02-07 | 2020-06-19 | 中国石油大学(华东) | 一种无偏差的裂缝表征方法 |
CN112053331A (zh) * | 2020-08-28 | 2020-12-08 | 西安电子科技大学 | 一种图像叠加和裂缝信息融合的桥梁裂缝检测方法 |
CN113052089A (zh) * | 2021-03-29 | 2021-06-29 | 广东电网有限责任公司 | 一种表面裂纹的识别***、方法、装置、设备及存储介质 |
CN114972333A (zh) * | 2022-07-19 | 2022-08-30 | 淄博市淄川区市政环卫服务中心 | 基于人工智能的道路裂缝检测方法及*** |
CN116091582A (zh) * | 2023-03-16 | 2023-05-09 | 北京科技大学 | 一种基于无人机大场景图像的桥梁裂缝辩识方法及*** |
CN116612103A (zh) * | 2023-06-01 | 2023-08-18 | 中国建筑科学研究院有限公司 | 一种基于机器视觉的建筑结构裂缝智能检测方法及其*** |
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CN103745477A (zh) * | 2014-01-22 | 2014-04-23 | 汕头大学 | 基于机器视觉的建筑结构裂缝检测及修复方法 |
CN107369134A (zh) * | 2017-06-12 | 2017-11-21 | 上海斐讯数据通信技术有限公司 | 一种模糊图像的图像复原方法 |
CN107730468A (zh) * | 2017-10-23 | 2018-02-23 | 鹰艾思科技(深圳)有限公司 | 一种无人机模糊噪声图像下清晰图像的恢复方法 |
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2018
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CN103745477A (zh) * | 2014-01-22 | 2014-04-23 | 汕头大学 | 基于机器视觉的建筑结构裂缝检测及修复方法 |
CN107369134A (zh) * | 2017-06-12 | 2017-11-21 | 上海斐讯数据通信技术有限公司 | 一种模糊图像的图像复原方法 |
CN107730468A (zh) * | 2017-10-23 | 2018-02-23 | 鹰艾思科技(深圳)有限公司 | 一种无人机模糊噪声图像下清晰图像的恢复方法 |
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CHUL MIN YEUM: "《Vision-Based Automated Crack Detection for Bridge Inspection》", 《COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING》 * |
XUHANG TONG等: "《A new image-based method for concrete bridge bottom crack detection》", 《2011 INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND SIGNAL PROCESSING》 * |
仇翔: "《无人机遥感模糊图像恢复技术研究》", 《中国博士学位论文全文数据库 信息科技辑》 * |
赵瑞: "《运动模糊车牌识别***的设计与实现》", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
陶晓力 等: "《基于无人机视觉的桥梁裂缝检测》", 《计算机技术与发展》 * |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109631854A (zh) * | 2018-12-19 | 2019-04-16 | 西安科技大学 | 一种低空无人机摄影测定矿区采煤塌陷裂缝方法 |
CN109631854B (zh) * | 2018-12-19 | 2019-12-17 | 西安科技大学 | 一种低空无人机摄影测定矿区采煤塌陷裂缝方法 |
CN110175987A (zh) * | 2019-04-23 | 2019-08-27 | 江西科技学院 | 一种桥梁裂缝检测方法及*** |
CN110175987B (zh) * | 2019-04-23 | 2022-10-04 | 江西科技学院 | 一种桥梁裂缝检测方法及*** |
CN111311559B (zh) * | 2020-02-07 | 2022-06-14 | 中国石油大学(华东) | 一种无偏差的裂缝表征方法 |
CN111311559A (zh) * | 2020-02-07 | 2020-06-19 | 中国石油大学(华东) | 一种无偏差的裂缝表征方法 |
CN112053331A (zh) * | 2020-08-28 | 2020-12-08 | 西安电子科技大学 | 一种图像叠加和裂缝信息融合的桥梁裂缝检测方法 |
CN112053331B (zh) * | 2020-08-28 | 2023-04-07 | 西安电子科技大学 | 一种图像叠加和裂缝信息融合的桥梁裂缝检测方法 |
CN113052089A (zh) * | 2021-03-29 | 2021-06-29 | 广东电网有限责任公司 | 一种表面裂纹的识别***、方法、装置、设备及存储介质 |
CN114972333A (zh) * | 2022-07-19 | 2022-08-30 | 淄博市淄川区市政环卫服务中心 | 基于人工智能的道路裂缝检测方法及*** |
CN114972333B (zh) * | 2022-07-19 | 2022-10-25 | 淄博市淄川区市政环卫服务中心 | 基于人工智能的道路裂缝检测方法及*** |
CN116091582A (zh) * | 2023-03-16 | 2023-05-09 | 北京科技大学 | 一种基于无人机大场景图像的桥梁裂缝辩识方法及*** |
CN116612103A (zh) * | 2023-06-01 | 2023-08-18 | 中国建筑科学研究院有限公司 | 一种基于机器视觉的建筑结构裂缝智能检测方法及其*** |
CN116612103B (zh) * | 2023-06-01 | 2023-12-15 | 中国建筑科学研究院有限公司 | 一种基于机器视觉的建筑结构裂缝智能检测方法及其*** |
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Address after: 210014 No. 9 Ziyun Avenue, Qinhuai District, Nanjing City, Jiangsu Province Patentee after: Huashe Testing Technology Co.,Ltd. Patentee after: China Design Group Co.,Ltd. Address before: 210000 9 Ziyun Avenue, Qinhuai District, Nanjing, Jiangsu Province Patentee before: China Design Group Co.,Ltd. Patentee before: Huashe Testing Technology Co.,Ltd. |