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.

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.

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.

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.

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

Complementary Z-Contrast Imaging and Digital Image Processing

1985 ◽  
Vol 43 ◽  
pp. 304-305
Author(s):  
K. N. Colonna ◽  
G. Oliphant
Keyword(s):  
Image Processing ◽  
Heavy Metal ◽  
Digital Image Processing ◽  
Digital Image ◽  
Biological Tissue ◽  
Biological Imaging ◽  
Tissue Preparation ◽  
Contrast Imaging ◽  
Imaging Tool ◽  
Z Contrast

Harmonious use of Z-contrast imaging and digital image processing as an analytical imaging tool was developed and demonstrated in studying the elemental constitution of human and maturing rabbit spermatozoa. Due to its analog origin (Fig. 1), the Z-contrast image offers information unique to the science of biological imaging. Despite the information and distinct advantages it offers, the potential of Z-contrast imaging is extremely limited without the application of techniques of digital image processing. For the first time in biological imaging, this study demonstrates the tremendous potential involved in the complementary use of Z-contrast imaging and digital image processing.Imaging in the Z-contrast mode is powerful for three distinct reasons, the first of which involves tissue preparation. It affords biologists the opportunity to visualize biological tissue without the use of heavy metal fixatives and stains. For years biologists have used heavy metal components to compensate for the limited electron scattering properties of biological tissue.

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