CN108509906A - 无人机航拍路基线光点捕捉双阈值Radon识别方法 - Google Patents
无人机航拍路基线光点捕捉双阈值Radon识别方法 Download PDFInfo
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- CN108509906A CN108509906A CN201810277665.5A CN201810277665A CN108509906A CN 108509906 A CN108509906 A CN 108509906A CN 201810277665 A CN201810277665 A CN 201810277665A CN 108509906 A CN108509906 A CN 108509906A
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- 229910052704 radon Inorganic materials 0.000 title claims abstract description 51
- SYUHGPGVQRZVTB-UHFFFAOYSA-N radon atom Chemical compound [Rn] SYUHGPGVQRZVTB-UHFFFAOYSA-N 0.000 title claims abstract description 51
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000009977 dual effect Effects 0.000 title claims abstract description 25
- 230000009466 transformation Effects 0.000 claims abstract description 46
- 239000011159 matrix material Substances 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 7
- 241001212149 Cathetus Species 0.000 claims description 4
- 238000003708 edge detection Methods 0.000 claims description 4
- 241001269238 Data Species 0.000 claims description 2
- 238000012360 testing method Methods 0.000 abstract description 10
- 238000001514 detection method Methods 0.000 abstract description 9
- 238000006243 chemical reaction Methods 0.000 abstract description 5
- 238000012216 screening Methods 0.000 abstract description 2
- 230000000694 effects Effects 0.000 description 12
- 230000006870 function Effects 0.000 description 11
- 238000004458 analytical method Methods 0.000 description 2
- 238000007796 conventional method Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/182—Network patterns, e.g. roads or rivers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
Description
函数名称 | 调用 | 总时间(秒) | 调用时间(秒) |
传统Radon变换 | 1 | 2.203 | 0.793 |
传统Hough变换 | 1 | 12.100 | 3.102 |
本发明方法 | 1 | 1.191 | 0.250 |
Claims (6)
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CN201810277665.5A CN108509906B (zh) | 2018-03-30 | 2018-03-30 | 无人机航拍路基线光点捕捉双阈值Radon识别方法 |
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CN201810277665.5A CN108509906B (zh) | 2018-03-30 | 2018-03-30 | 无人机航拍路基线光点捕捉双阈值Radon识别方法 |
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CN108509906A true CN108509906A (zh) | 2018-09-07 |
CN108509906B CN108509906B (zh) | 2022-02-08 |
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Cited By (1)
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US20230351781A1 (en) * | 2021-06-11 | 2023-11-02 | Capital One Services, Llc | Line removal from an image |
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CN106127105A (zh) * | 2016-06-13 | 2016-11-16 | 长安大学 | 基于快速随机Radon变换的无人机视觉巡线方法 |
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CN107341470A (zh) * | 2017-07-03 | 2017-11-10 | 国网浙江省电力公司信息通信分公司 | 一种基于航拍图像的输电线检测方法 |
CN107705301A (zh) * | 2017-09-29 | 2018-02-16 | 南京中设航空科技发展有限公司 | 一种基于无人机航拍公路图像的公路标线破损检测方法 |
-
2018
- 2018-03-30 CN CN201810277665.5A patent/CN108509906B/zh active Active
Patent Citations (13)
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---|---|---|---|---|
CN101405783A (zh) * | 2006-03-24 | 2009-04-08 | 丰田自动车株式会社 | 道路区划线检测装置 |
CN101101333A (zh) * | 2006-07-06 | 2008-01-09 | 三星电子株式会社 | 用于产生行进车辆的驾驶员辅助信息的设备和方法 |
EP2242022A4 (en) * | 2008-01-11 | 2012-02-15 | Nec Corp | TRACK IDENTIFICATION SYSTEM, TRACE IDENTIFICATION PROCEDURE AND TRACE IDENTIFICATION PROGRAM |
CN102208019A (zh) * | 2011-06-03 | 2011-10-05 | 东南大学 | 基于车载摄像机的车辆变道检测方法 |
CN104657735A (zh) * | 2013-11-21 | 2015-05-27 | 比亚迪股份有限公司 | 车道线检测方法、系统、车道偏离预警方法及系统 |
CN104036277A (zh) * | 2014-06-03 | 2014-09-10 | 中国科学院电子学研究所 | 一种提取道路特征的方法和设备 |
CN104658265A (zh) * | 2015-03-08 | 2015-05-27 | 无锡桑尼安科技有限公司 | 位于交通路口的跨实线并道车辆识别系统 |
CN105354559A (zh) * | 2015-11-24 | 2016-02-24 | 厦门雅迅网络股份有限公司 | 一种对车前图像检测车道直线的方法 |
CN105426864A (zh) * | 2015-12-04 | 2016-03-23 | 华中科技大学 | 一种基于等距边缘点匹配的多车道线检测方法 |
CN106127105A (zh) * | 2016-06-13 | 2016-11-16 | 长安大学 | 基于快速随机Radon变换的无人机视觉巡线方法 |
CN107301777A (zh) * | 2016-11-25 | 2017-10-27 | 上海炬宏信息技术有限公司 | 基于视频检测技术的车辆违章变道检测方法 |
CN107341470A (zh) * | 2017-07-03 | 2017-11-10 | 国网浙江省电力公司信息通信分公司 | 一种基于航拍图像的输电线检测方法 |
CN107705301A (zh) * | 2017-09-29 | 2018-02-16 | 南京中设航空科技发展有限公司 | 一种基于无人机航拍公路图像的公路标线破损检测方法 |
Cited By (1)
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US20230351781A1 (en) * | 2021-06-11 | 2023-11-02 | Capital One Services, Llc | Line removal from an image |
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