A man–machine balanced rapid object model for automation of pavement crack sealing and maintenance

2002 ◽  
Vol 29 (3) ◽  
pp. 459-474 ◽  
Author(s):  
Young-Suk Kim ◽  
Carl T Haas
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Crack Detection ◽  
Road Maintenance ◽  
Processing Technologies ◽  
Algorithm Efficiency ◽  
Crack Sealing ◽  
Segmentation Methods ◽  
Crack Mapping

A number of studies during the last few years have discussed automated crack detection and mapping using digital image processing technologies in roadway maintenance and rehabilitation. Many recent studies have applied digital image processing to the recognition or sealing of cracks in pavement. There have been great discrepancies, however, among various segmentation methods that extract crack types and locations or classify the extent of cracking. Since all sensing systems also produce some spurious data and experience noise due to the varied topological and color conditions of the pavement surface, accurately mapping and representing the pavement cracks to be sealed using such segmentation methods would be even harder. This paper illustrates an innovative machine vision algorithm developed for accurate crack mapping and representation in the University of Texas (UT) automated road maintenance machine (ARMM). The paper mainly focuses on illustrating the detailed logic and descriptions of the algorithm. Efficiency evaluation results of the ARMM man–machine balanced crack mapping and representation process, including the line-snapping and path-planning functions, are also shown. Using the algorithms as an edge-describing tool can have broader applications in automation of infrastructure maintenance and inspection of civil works and in the domain of digital image processing.Key words: automation, image processing, line snapping, pavement, crack sealing, maintenance.

scholarly journals Quantitative Identification Cracks of Heritage Rock Based on Digital Image Technology

2022 ◽  
Vol 2148 (1) ◽  
pp. 012048
Author(s):  
Xiufang Wang ◽  
Jingyuan Li ◽  
Ming Bai ◽  
Yan Pei
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Rock Fractures ◽  
Processing Technologies ◽  
Image Preprocessing ◽  
Morphological Filtering ◽  
Fracture Area ◽  
Quantitative Identification ◽  
Restoration And Protection

Abstract Digital image processing technologies are used to extract and evaluate the cracks of heritage rock in this paper. Firstly, the image needs to go through a series of image preprocessing operations such as graying, enhancement, filtering and binaryzation to filter out a large part of the noise. Then, in order to achieve the requirements of accurately extracting the crack area, the image is again divided into the crack area and morphological filtering. After evaluation, the obtained fracture area can provide data support for the restoration and protection of heritage rock. In this paper, the cracks of heritage rock are extracted in three different locations.The results show that the three groups of rock fractures have different effects on the rocks, but they all need to be repaired to maintain the appearance of the heritage rock.

Aesthetics and Digital Image Processing: Representational Craft in Contemporary Astronomy

1987 ◽  
Vol 35 (1_suppl) ◽  
pp. 184-220 ◽  
Author(s):  
Michael Lynch ◽  
Samuel Y. Edgerton
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Imaging ◽  
Scientific Work ◽  
Scientific Field ◽  
Processing Technologies ◽  
The Aesthetic ◽  
Rapid Transformation ◽  
Aesthetic Judgments

This paper examines whether ‘aesthetic’ considerations play a part in contemporary scientific work, and focuses on a scientific field undergoing rapid transformation through the introduction of digital imaging and image processing technologies. Interviews with astronomers at two image processing laboratories indicate that they orient explicitly to the ‘aesthetic’ judgments of their audiences when preparing images to promote and popularize their research. Although they acknowledge no such ‘aesthetic’ pretensions for their ‘scientific’ work, further analysis shows that a more ancient aesthetic, that of perfecting nature through a crafting of resemblances, is deeply a part of routine image processing work.

scholarly journals AN EFFICIENT METHOD TO AUTOMATE POTHOLE DETECTION IN ROAD SURFACE USING IOT

2021 ◽  
Vol 5 (10) ◽  
Author(s):  
Ajith Kumar B ◽  
Vignesh G ◽  
Anbumani A.
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Road Surface ◽  
Detection Accuracy ◽  
Road Maintenance ◽  
Application System ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Pothole Detection

With the development of information technology, the digital image processing has the characteristics of strong permeability, large use of action and good comprehensive benefits. A road maintenance pothole detection is one of the important tasks. A road surface modelling or road image analysis is generally come from computer vision approaches. However, these two categories were always used independently. Furthermore, the accuracy of the pothole detection is not satisfactory. These challenges promote the development of a better application to detect potholes, cracks using the digital image processing like segmentation, extraction, recognition, and morphology from the images of road surface by using image processing. We are proposing an application system with efficient digital image processing techniques to improve the accuracy and consistency of obtaining accurate shapes of potholes and topologies, etc. The successful detection accuracy is around 98.7% and the overall pixel-level accuracy is approximately 99.6%. By using the digital image processing techniques, the detected potholes and cracks are updated to the web server by using IOT device.

scholarly journals A Comprehensive Survey on Crack detection of Bone using various techniques

2020 ◽  
Vol 2 (2) ◽  
pp. 1-7
Author(s):  
Agnes Shifani S ◽  
Akshaya D ◽  
Kaviya M ◽  
Kiruthiga K
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Crack Detection ◽  
Maximum Amount ◽  
Image Correlation ◽  
Comprehensive Overview ◽  
X Ray ◽  
Correlation Algorithm ◽  
Comprehensive Survey

Digital image processing plays a key role in manipulation of image and extracting the maximum amount of data from image with help of various algorithm. Digital image correlation algorithm determines the displacement and deformation of pattern across several images. Creating innovation are developing every day in various fields, particularly in restoration condition. Notwithstanding, still some old strategies are very famous. X-ray or CT images are one among the system for identification of bone cracks. during this article, we offer a comprehensive overview of various algorithm and techniques of displacement measurement generally and crack detection especially using digital image processing. we've been successful in highlighting each and each key feature and aspect of crack detection in bone which can take the add this domain further

Emotion Recognition and Drowsiness Detection using Digital Image Processing and Python

2021 ◽  
pp. 1037-1043
Author(s):  
Pramoda R ◽  
Arun P S ◽  
B S Athul ◽  
Bharath B ◽  
B Naveen Reddy
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Emotion Recognition ◽  
Digital Image Processing ◽  
Digital Image ◽  
Automobile Accidents ◽  
Processing Technologies ◽  
Drowsiness Detection

We suggest a system that can detect a person's emotions as well as their level of sleepiness. The majority of our work is devoted to extracting information from the frontal face. The article goal is to create a product that is both reasonable and efficient in its operation. The system was created in Python using artificial intelligence and digital image processing technologies. Identifying eye blinking is essential in some situations, such as in the prevention of automobile accidents or the monitoring of safety vigilance.

scholarly journals Crack Detection and Geometry Measurements using Digital Image Processing

2021 ◽  
Vol 14 (1) ◽  
pp. 11-23
Author(s):  
Dhia A. Alazawi ◽  
Zaid S. Hammoudi ◽  
Mohanad N. Mohammed
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Copper Alloy ◽  
Crack Detection ◽  
Low Cost ◽  
Speckle Pattern ◽  
Test Results ◽  
Matlab Code ◽  
Crack Defect

Digital image processing (DIP), is the use of a digital computer to process digital images through an algorithm. In this work DIP used to perform crack/defect Detection and geometry measurements in terms of angle, length, and width by building a MATLAB code. In this research, the test of tensile were applied on two flat samples, the two flat samples are painted in a speckle pattern on the tested surface to use DIP features. The DIP gives a low-cost optical, and an appropriate technique to detect crack/defect as well as geometry measurements with the load increment in terms of angle, length and width without any contact with the tested surfaces. The tests directed for both of flat Aluminum alloy and Copper alloy specimens. In order to guarantee the efficiency of the planned DIP systems, the comparison is considered between the test results of this technique with the measurements gained by actual physical by using calibrated digital vernier calliper (IP 54) to measure the length of the crack with 0-300 mm range and 0.01 mm resolution. The DIP obtained percentage of accuracy varies from (97) % to (99) % by comparison with the measurements gained by actual physical way.

An Overview of Digital Image Processing and Recognition (Invited Paper)

1982 ◽  
Vol 40 ◽  
pp. 700-702
Author(s):  
R. C. Gonzalez
Keyword(s):  
Image Processing ◽  
New York ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Implementation ◽  
Submarine Cable ◽  
Vigorous Growth ◽  
Digitized Pictures ◽  
Processing Techniques ◽  
And Storage

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

A method to measure pores and fissures in geologic materials under S.E.M. by digital image processing

1978 ◽  
Vol 36 (1) ◽  
pp. 212-213
Author(s):  
L. Montoto ◽  
M. Montoto ◽  
A. Bel-Lan
Keyword(s):  
Image Processing ◽  
Optical Microscopy ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Processing ◽  
Free Surfaces ◽  
Geologic Materials ◽  
Automatic Information ◽  
Detector Output ◽  
Rock Specimens

INTRODUCTION.- The physical properties of rock masses are greatly influenced by their internal discontinuities, like pores and fissures. So, these need to be measured as a basis for interpretation. To avoid the basic difficulties of measurement under optical microscopy and analogic image systems, the authors use S.E.M. and multiband digital image processing. In S.E.M., analog signal processing has been used to further image enhancement (1), but automatic information extraction can be achieved by simple digital processing of S.E.M. images (2). The use of multiband image would overcome difficulties such as artifacts introduced by the relative positions of sample and detector or the typicals encountered in optical microscopy.DIGITAL IMAGE PROCESSING.- The studied rock specimens were in the form of flat deformation-free surfaces observed under a Phillips SEM model 500. The SEM detector output signal was recorded in picture form in b&w negatives and digitized using a Perkin Elmer 1010 MP flat microdensitometer.

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