Digital Image Analysis of the Rolls During Production of Aluminum Foils

2001 ◽  
Author(s):  
E. Marchetti ◽  
F. Venlali
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Statistical Analysis ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Longitudinal Direction ◽  
Axial Direction ◽  
Production Campaign ◽  
Roughness Measurements

Abstract The morphological appearance of the cylinders and of the laminates have been assessed by digital image processing performed during a number of production campaign of aluminum foils. The statistical analysis performed on the cylinders have shown that it is possible to evidence the modifications induced by the rolling operation. Such modifications have been found both in axial direction of the cylinders and in the longitudinal direction of the laminates. Yet, roughness measurements performed on the cylinders did not show any variation along the axial direction.

scholarly journals Digital Image Processing in the Analysis of Astrometric Plates

1991 ◽  
Vol 127 ◽  
pp. 267-270
Author(s):  
A.Lopez Garcia ◽  
J.L. Valdes ◽  
J.A.Lopez Orti ◽  
R.Lopez. Machi ◽  
G.J. Perez
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Frequency Domain ◽  
Digital Image Processing ◽  
Digital Image ◽  
Automatic Measuring

AbstractIn this paper, we display an improvement to our process of semi-automatic measuring of astrometric plates, in which the photometric sensor is substituted by a CCD system of image getting and digitalization. The advantages of this method are analyzed taking into account the possibilities of the image analysis in the space and frequency domain.

An innovative digital image analysis approach to quantify the percentage of voids in mineral aggregates of bituminous mixtures

1998 ◽  
Vol 25 (6) ◽  
pp. 1041-1049 ◽  
Author(s):  
Mohammed Taleb Obaidat ◽  
Hashem R Al-Masaeid ◽  
Fouad Gharaybeh ◽  
Taisir S Khedaywi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Image Analysis ◽  
Cross Sections ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Asphalt Mixture ◽  
Fine Aggregate ◽  
Bituminous Mixtures ◽  
Mineral Aggregates

The objective of this study was to examine the feasibility of using a semiautomated computer-vision system to quantify the percentage of voids in mineral aggregates (VMA%) of bituminous mixtures. The system used a hybrid procedure which utilized a digital image analysis scheme and a planimeter surveying instrument. Thirty-nine Marshall specimens were prepared using limestone and gravel aggregates. Values of VMA% were obtained using the ASTM conventional procedure and the computer-vision procedure. To compute VMA% using the computer-vision procedure, normal case photography with uniform scale images was used to map horizontal and vertical cross sections of Marshall specimens. Image domain measurements were corrected for distortion. Spatial filters and image processing operations were used to enhance the aggregate edges. Experimental results showed slight variations between VMA% computed using conventional and the computer-vision procedures. The average differences of VMA% between conventional and the computer-vision procedures were 0.81% and 0.006% for gravel and limestone specimens, respectively. Measurements of VMA% for limestone mixtures were more precise than those for gravel mixtures because of the angular edge shape of limestone particles. Variations in VMA% were due to the anisotropic properties of asphalt mixtures, aggregate distribution in the asphalt mixture, and different shapes of aggregates. Using the computer-vision-based technique, VMA% of horizontal and vertical cross sections were 50% consistent. The existence of fine aggregate in the asphalt mixture affected the accuracy potential of the developed system because a low-resolution camera was used. Increasing the camera resolution and automating the area computation of aggregate are expected to enhance the potential accuracy of the procedure. The proposed method for VMA quantification is anticipated to improve field quality control of hot-mix asphalt (HMA). The use of computer-vision technology with bituminous mixtures can open the doors to a wide variety of applications.Key words: bituminous mixtures, voids in mineral aggregate, computer vision, automation, image processing.

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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