A Novel Approach for Security in Digital Image Processing Using Water Marking Analysis

Measurement of local strains in poly-crystalline materials, subjected to relatively large plastic deformation, is a challenging problem. In this paper we report a novel approach for the calculation of local strains at microscopic levels using Electron Backscattered Diffraction measurements, and subsequent use of digital image processing and a simple algorithm. Identical grains, of a fully recrystallized commercial AA1050 sheet, were indexed before and after a tensile strain of 0.262. Normal and shear strains were calculated by estimating the changes in grain shape and in plane rotation. An excellent correlation was obtained between measured in-grain misorientation developments and the estimated in-grain von-Mises equivalent strains.

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

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100055837 ◽

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.

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

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100108209 ◽

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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