TITLE

Detection of morphology defects in pipeline based on 3D active stereo omnidirectional vision sensor

AUTHOR(S)
Zhongyuan Yang; Shaohui Lu; Ting Wu; Gongping Yuan; Yiping Tang
PUB. DATE
April 2018
SOURCE
IET Image Processing;2018, Vol. 12 Issue 4, p588
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
There are many kinds of defects in pipes, which are difficult to detect with a low degree of automation. In this work, a novel omnidirectional vision inspection system for detection of the morphology defects is presented. An active stereo omnidirectional vision sensor is designed to obtain the texture and depth information of the inner wall of the pipeline in real time. The camera motion is estimated and the space location information of the laser points are calculated accordingly. Then, the faster region proposal convolutional neural network (Faster R-CNN) is applied to train a detection network on their image database of pipe defects. Experimental results demonstrate that system can measure and reconstruct the 3D space of pipe with high quality and the retrained Faster R-CNN achieves fine detection results in terms of both speed and accuracy.
ACCESSION #
128513882

 

Related Articles

  • Observing Shape from Defocused Images. Favaro, Paolo; Mennucci, Andrea; Soatto, Stefano // International Journal of Computer Vision;Apr2003, Vol. 52 Issue 1, p25 

    Accommodation cues are measurable properties of an image that are associated with a change in the geometry of the imaging device. To what extent can three-dimensional shape be reconstructed using accommodation cues alone? This question is fundamental to the problem of reconstructing shape from...

  • High-speed 3-D machine vision: getting the details right. Nagle, John // Laser Focus World;Nov2006, Vol. 42 Issue 11, p67 

    The article talks about important details to be considered in selecting a high speed three dimensional machine vision system. With these kind of systems, components become more critically significant to the system as a whole because each part is being asked to perform at a much more intense...

  • GESTURE BASED DESKTOP INTERACTION. Sreekanth, N. S.; Gopinath, P.; Pal, Supriya N.; Narayanan, N. K. // International Journal of Machine Intelligence;2011, Vol. 3 Issue 4/5, p268 

    This paper discusses the implementation details of computer vision based gesture processing. Finger gestures are processed and recognized for interacting with the desktop and desktop applications. Gestures are captured via webcam; and conventional image processing techniques and algorithms are...

  • A Novel Skin Tone Detection using Hybrid Approach by New Color Space. Prema, C.; Manimegalai, D. // International Journal of Computer Applications;May2012, Vol. 46, p15 

    Skin is the most widely used primitive in human image processing research and computer vision with application ranging from face detection and person tracking to pornography filtering. It has proven to be a useful and robust cue for detecting human parts in images since (i) it is invariant to...

  • Hybrid object labelling in digital images. Martín-Herrero, J. // Machine Vision & Applications;Apr2007, Vol. 18 Issue 1, p1 

    The application of a technique for labelling connected components based on the classical recursive technique is studied. The recursive approach permits labelling, counting, and characterizing objects with a single pass. Its main drawback lies on its very nature: Big objects require a high number...

  • Assessment of High Speed Imaging Systems for 2D and 3D Deformation Measurements: Methodology Development and Validation. V. Tiwari; M. Sutton; S. McNeill // Experimental Mechanics;Aug2007, Vol. 47 Issue 4, p561 

    Abstract  Ultra high-speed and moderate speed image acquisition platforms have been characterized, with special emphasis on the variability and accuracy of the measurements obtained when employed in either 2D or 3D computer vision systems for deformation and shape measurements....

  • AN IMAGE BASED TECHNIQUE FOR ENHANCEMENT OF UNDERWATER IMAGES. Prabhakar, C. J.; Kumar, Praveen P. U. // International Journal of Machine Intelligence;2011, Vol. 3 Issue 4/5, p217 

    The underwater images usually suffers from non-uniform lighting, low contrast, blur and diminished colors. In this paper, we proposed an image based preprocessing technique to enhance the quality of the underwater images. The proposed technique comprises a combination of four filters such as...

  • Extended noise equalisation for image compression in microscopical applications. Kirchhöfer, Daniel M.; Holst, Gerhard A.; Wouters, Fred S.; Hock, Stephan; Jähne, Bernd // Technisches Messen;Jul2019, Vol. 86 Issue 7/8, p422 

    Today's camera systems used for machine vision and scientific applications have intra-scene dynamic ranges up to 16 bit and therefore A/D converters with up to 16 bit resolution per pixel. Unfortunately, the linear amplification of electrons also forces a linear or even quadratic increase of the...

  • INTELLIGENT MACHINE VISION BASED RAILWAY INFRASTRUCTURE INSPECTION AND MONITORING USING UAV. Banić, Milan; Miltenović, Aleksandar; Pavlović, Milan; Ćirić, Ivan // Facta Universitatis, Series: Mechanical Engineering;2019, Vol. 17 Issue 3, p357 

    Traditionally, railway inspection and monitoring are considered a crucial aspect of the system and are done by human inspectors. Rapid progress of the machine vision-based systems enables automated and autonomous rail track detection and railway infrastructure monitoring and inspection with...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics