scholarly journals Close Range Photogrammetry for Direct Multiple Feature Positioning Measurement without Targets

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Gorka Kortaberria ◽  
Aitor Olarra ◽  
Alberto Tellaeche ◽  
Rikardo Minguez
Keyword(s):  
Image Processing ◽  
Vision System ◽  
New Method ◽  
Laser Tracker ◽  
Validation Process ◽  
Close Range Photogrammetry ◽  
Multiple Feature ◽  
New Development ◽  
Speed Up ◽  
Close Range

The main objective of this study is to present a new method to carry out measurements so as to improve the positioning verification step in the wind hub part dimensional validation process. This enhancement will speed up the measuring procedures for these types of parts. An industrial photogrammetry based system was applied to take advantage of its results, and new functions were added to existing capabilities. In addition to a new development based on photogrammetry modelling and image processing, a measuring procedure was defined based on optical and vision system considerations. A validation against a certified procedure by means of a laser-tracker has also been established obtaining deviations of ±0.125 μm/m.

Algorithm for Real-Time Image Processing in the Robot Soccer

2011 ◽  
Vol 143-144 ◽  
pp. 737-741 ◽  
Author(s):  
Hai Bo Liu ◽  
Wei Wei Li ◽  
Yu Jie Dong
Keyword(s):  
Image Processing ◽  
Color Image ◽  
Vision System ◽  
Color Space ◽  
Color Image Segmentation ◽  
New Method ◽  
Robot System ◽  
Robot Soccer ◽  
Seed Fill ◽  
Time Image

Vision system is an important part of the whole robot soccer system.In order to win the game, the robot system must be more quick and more accuracy.A color image segmentation method using improved seed-fill algorithm in YUV color space is introduced in this paper. The new method dramatically reduces the work of calculation,and speeds up the image processing. The result of comparing it with the old method based on RGB color space was showed in the paper.The second step of the vision sub system is identification the color block that separated by the first step.A improved seed fill algorithm is used in the paper.The implementation on MiroSot Soccer Robot System shows that the new method is fast and accurate.

scholarly journals 3D Digital modeling for archeology using close range photogrammetry

2018 ◽  
Vol 162 ◽  
pp. 03027
Author(s):  
Abbas Khalaf ◽  
Tariq Ataiwe ◽  
Israa Mohammed ◽  
Ali Kareem
Keyword(s):  
Image Processing ◽  
Total Error ◽  
Three Dimensional ◽  
Digital Camera ◽  
Control Points ◽  
Close Range Photogrammetry ◽  
Digital Modeling ◽  
Close Range ◽  
Processing Software ◽  
Image Processing Software

This research is to evaluate the feasibility of applying three-dimensional modelling of the close-range photogrammetry in documenting archaeological monuments by using digital photogrammetry image processing software and digital consumer camera. The digital camera used was Nikon D3100, the processing software was (AgiSoft PhotoScan) and (ArcGIS, ArcScene extension). The study area was selected in the centre of Baghdad province by choosing one of the archeological monuments in it, namely the Abbasid alace. A set of camera locations represent the locations of the images, and as a result of the processing, 81 digital images were arranged in a sequence in which the results of this step were verified. The points cloud after processing were 1,082,617 points. Six control points were selected, used as distances constrained. The validity of the fixed location of the points can be ascertained by checking the data. The program provide the error and accuracy for each image, where a total error in the scale bar was 0.005253 meters, a total error of marks points was 0.010957 meters and the accuracy for all six points was 0.005 meters.

Automated Image Processing for on-Line Photogrammetry

2011 ◽  
Vol 130-134 ◽  
pp. 3577-3580
Author(s):  
Jun Wang ◽  
Ming Li Dong
Keyword(s):  
Image Processing ◽  
High Accuracy ◽  
Process Time ◽  
Pixel Size ◽  
Dynamic Adjustment ◽  
Close Range Photogrammetry ◽  
Close Range ◽  
On Line ◽  
Line Photogrammetry ◽  
Automated Image Processing

In order to monitor the deformation of the surface or dynamic adjustment and measurement, the real-time and on-line close range photogrammetry system is needed. Before camera calibration and 3D reconstruction, the targets in the images must be recognized and located automatically with high accuracy and speed firstly. This paper describes the automated image processing for the on-line photogrammetry system. Experimental results show that compared with the other measurement system, the accuracy of subpixel target centroid can reach to about 2% of the pixel size, while the process time of an image with 3008×2000 pixels is about 0.1S.

scholarly journals Deformation Measurement of a Railroad Bridge Using a Photogrammetric Board without Control Point Survey

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Hyoseong Lee ◽  
Dongyeob Han
Keyword(s):  
Control Point ◽  
Three Dimensional ◽  
Laser Tracker ◽  
Control Points ◽  
Exterior Orientation ◽  
Close Range Photogrammetry ◽  
Bridge Inspections ◽  
Close Range ◽  
Railroad Bridge ◽  
Orientation Parameters

We propose a photogrammetric board to measure the deformation of a railroad bridge using close-range photogrammetry. The method can be used to compute the exterior orientation parameters and determine three-dimensional (3D) coordinates from images without measuring the control points. The bridge deformation measured using the proposed method was compared to that measured with a 3D laser tracker. The measurement error was within 1 mm, and the proposed method can measure the deformation of an I-plate girder of a railroad bridge. This method may be an alternative to precise stability inspections and bridge inspections.

Study of close-Range Photogrammetric Method Using Ordinary Digital Camera

2011 ◽  
Vol 110-116 ◽  
pp. 4337-4342
Author(s):  
Ying Dan Mao
Keyword(s):  
Image Processing ◽  
Digital Imaging ◽  
Digital Camera ◽  
Mapping Method ◽  
Digital Cameras ◽  
Basic Principles ◽  
Progressive Development ◽  
Close Range Photogrammetry ◽  
Close Range ◽  
Photogrammetric Method

With the progressive development of photogrammetric technology, the digital photogrammetric method based on the basic principles of digital imaging and photogrammetry has replaced the traditional photogrammetric mapping method and has been widely promoted and applied. In this paper, it studies further the issues about the image processing and photogrammetric algorithms of common digital cameras based on some research results in the traditional field of close-range photogrammetry, and verifies with actual examples the application of using digital cameras to implement the close-range photogrammetric method to engineering is feasible.

scholarly journals BIFOCAL PAIRS OF IMAGES FOR LOW-COST SURVEY IN CLOSE RANGE PHOTOGRAMMETRY

2019 ◽  
Vol XLII-2/W17 ◽  
pp. 203-207
Author(s):  
P. Midulla
Keyword(s):  
Image Processing ◽  
Low Cost ◽  
Three Dimensional ◽  
Reference Plane ◽  
System Of Equations ◽  
Close Range Photogrammetry ◽  
Close Range

Abstract. This paper present a method for close range photogrammetry based on an camera positioning scheme in which two cameras capture an equal portion of an object at the same scale, but have different focal lengths and camera-to-object distances. This scheme is alternative to the stereoscopic scheme and is associated with a system of equations which permits one to calculate first the relief displacement of points on a photograph and then their relief relative to a reference plane. The obtained relief and relief displacement values can be used to produce low-cost orthophotographs by using software for image processing, which doesn’t need to be dedicated, but has to provide measurement and calculation functions. Moreover, this method also allows one to obtain three-dimensional coordinates, through further calculations.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

New method of morphological color image processing

2010 ◽  
Vol 30 (8) ◽  
pp. 2101-2104
Author(s):  
Hong-zhong TANG ◽  
Hui-xian HUANG ◽  
Xue-feng GUO ◽  
Ye-wei XIAO
Keyword(s):  
Image Processing ◽  
Color Image ◽  
New Method ◽  
Color Image Processing
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