INTRODUCING ALGORITHM DESIGN TECHNIQUES IN UNDERGRADUATE DIGITAL IMAGE PROCESSING COURSES

2001 ◽  
Vol 15 (05) ◽  
pp. 789-803 ◽  
Author(s):  
ANGEL SANCHEZ ◽  
JOSE F. VELEZ ◽  
ANA BELEN MORENO ◽  
JOSE L. ESTEBAN
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Real World ◽  
Algorithm Design ◽  
Methodological Development ◽  
Comprehensive Understanding ◽  
Natural Way ◽  
Real World Problems ◽  
Design Techniques

This paper documents the development and first offering of an undergraduate course in Digital Image Processing at the Rey Juan Carlos University, Madrid (Spain). The paper describes how the appropriate introduction of main Algorithm Design Techniques can successfully assist the students to achieve a comprehensive understanding of image operations and related algorithms. Image processing problems offer a natural way to present real world problems where the students can use their algorithmic knowledge. Furthermore, image processing solutions are needed from a methodological development and require efficient well-designed algorithms. This paper presents an effort in the integration of Algorithm Design Techniques in a Digital Image Processing course with a very practical scope.

scholarly journals 3 Implementation of Fruit Grading & Sorting Station Using Digital Image Processing Techniques

2018 ◽  
Vol 1 (1) ◽  
pp. 6
Author(s):  
Ghulame Mustafa Abro ◽  
Kundan Kumar
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Conveyor Belt ◽  
Packaging Process ◽  
Image Processing Techniques ◽  
Fruit Grading ◽  
Sorting Station ◽  
Processing Techniques ◽  
Real World Problems

No doubt that today's technology has approximately solved many common as well as complex issues. Engineers and researchers are always in the quest for the best, brief and efficient methods to cope up the real world problems, hence fruit grading and sorting are one of the problems in export/import industry. In this regard industry requires a station that can check the skin of fruit, i.e. an apple whether it has rotten spots on it or not beside this whole procedure this specific station will also check the radius of an apple for sorting it further for packaging process. This whole procedure will be followed by a running conveyor belt, 2 AC plungers and a wooden box in between them, which will have 5 Mega pixel camera mounted on it. The camera will be triggered by a brief algorithm of digital image processing designed on the platform of MATLAB R2015a version and conclude whether the fruit, i.e. an apple is healthy or having some rotten spots on its skin. Once results are shown, then the algorithm will activate the respective plunger for grading and sorting of apples.

Matching rendered and real world images by digital image processing

2010 ◽  
Author(s):  
Carles Mitjà ◽  
Toni Bover ◽  
Miquel Bigas ◽  
Jaume Escofet
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Real World

scholarly journals Optimal Use Of ANN In The Integration Between Digital Image Processing And Encryption Technique

2021 ◽  
Vol 12 (4) ◽  
pp. 950-958
Author(s):  
Shaimaa Abbas Fahdel Al-Abaidy
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Artificial Neural Network ◽  
Medical Research ◽  
Real Time ◽  
Digital Image Processing ◽  
Digital Image ◽  
Real World ◽  
Block Diagram ◽  
Artificial Neural

Recently An ANN is the very much powerful and strong technology for solving various real world-real time issues in area of image processing such as medical, research center etc. This paper represents the Artificial Neural network in combination with the image processing. The main aim of this paper is to study the ANN in integration with digital image processing and encryption technologies. So in this sense we discussed the basics of image processing, digital image processing, artificial neural network and encryption. With the help of proposed block diagram we discussed ANN with and without encryption. When an ANN is used with digital image processing several algorithms are available. Here we discussed the few algorithms in shortly with their iteration equation used at time of learning the ANN.

scholarly journals Pixel programming aspects of digital image

2012 ◽  
Vol 53 ◽  
Author(s):  
Rima Birškytė
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Computer Graphics ◽  
Digital Image Processing ◽  
Computer Simulations ◽  
Digital Image ◽  
Real World ◽  
Computer Screen ◽  
The Real ◽  
Advanced Computer

This article describes a realization of the mathematics and informatics subjects by using visual objective programming facilities. For solving advanced computer graphics tasks, seems comfortable to use new estimated mathematics programs and packages, which already are enriched with digital image processing tools, allowing to create, paint and animate a various objects of the real world on computer screen, to extend the products of virtual reality. The described image reconstructionalgorithms have been evaluated on the basis of computer simulations.

scholarly journals 3 Implementation of Fruit Grading & Sorting Station Using Digital Image Processing Techniques

2018 ◽  
Vol 7 (1) ◽  
pp. 6
Author(s):  
Ghulame Mustafa Abro ◽  
Kundan Kumar
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Conveyor Belt ◽  
Packaging Process ◽  
Image Processing Techniques ◽  
Fruit Grading ◽  
Sorting Station ◽  
Processing Techniques ◽  
Real World Problems

No doubt that today's technology has approximately solved many common as well as complex issues. Engineers and researchers are always in the quest for the best, brief and efficient methods to cope up the real world problems, hence fruit grading and sorting are one of the problems in export/import industry. In this regard industry requires a station that can check the skin of fruit, i.e. an apple whether it has rotten spots on it or not beside this whole procedure this specific station will also check the radius of an apple for sorting it further for packaging process. This whole procedure will be followed by a running conveyor belt, 2 AC plungers and a wooden box in between them, which will have 5 Mega pixel camera mounted on it. The camera will be triggered by a brief algorithm of digital image processing designed on the platform of MATLAB R2015a version and conclude whether the fruit, i.e. an apple is healthy or having some rotten spots on its skin. Once results are shown, then the algorithm will activate the respective plunger for grading and sorting of apples.

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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