scholarly journals Application of Digital Camera and Digital Image Processing Techmique for Molecular Absorption Analysis in the Visible Spectrum

2013 ◽  
Vol 1 (4) ◽  
pp. 129-134
Author(s):  
Anastas Dakashev ◽  
Stancho Pavlov ◽  
Krasimira Stancheva
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Camera ◽  
Visible Spectrum ◽  
Absorption Analysis ◽  
Molecular Absorption

scholarly journals Discovery of EDA-Complex Photocatalyzed Reactions Using Multidimensional Image Processing: Iminophosphorane Synthesis as a Case Study

2021 ◽  
Author(s):  
Rodrigo Silva ◽  
Gabriel Batista ◽  
Timothy Brocksom ◽  
Kleber de Oliveira
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Color Change ◽  
Visible Spectrum ◽  
Screening Strategy ◽  
Multidimensional Screening ◽  
Eda Complex ◽  
Tlc Analysis

Abstract Herein, we report a multidimensional screening strategy for the discovery of EDA-complex photocatalyzed reactions using only photographic devices (webcam, cellphone) and TLC analysis. An algorithm was designed to identify automatically EDA-complex reactive mixtures in solution from digital image processing in a 96-wells microplate and by TLC-analysis. The code highlights the region of absorption of the mixture in the visible spectrum, and the quantity of the color change through grayscale values. Furthermore, the code identifies automatically the blurs on the TLC plate and classifies the mixture as colorimetric reactions, non-reactive or potentially reactive EDA mixtures. This strategy allowed us to discover and then optimize a new EDA-mediated approach for obtaining iminophosphoranes in up to 90% yield.

scholarly journals Shrimps clusterization by size using digital image processing with CCA and DBSCAN

2020 ◽  
Vol 8 (2) ◽  
pp. 106-112
Author(s):  
Adri Priadana ◽  
Aris Wahyu Murdiyanto
Keyword(s):  
Image Processing ◽  
Light Intensity ◽  
Digital Image Processing ◽  
Digital Image ◽  
Spatial Clustering ◽  
Digital Camera ◽  
Harvest Time ◽  
Connected Component ◽  
Average Accuracy

The quality of farmed shrimps has several criteria, one of which is shrimp size. The shrimp selection was carried out by the contractor at the harvest time by grouping the shrimp based on their size. This study aims to apply digital image processing for shrimp clustering based on size using the connected component analysis (CCA) and density-based spatial clustering of applications with noise (DBSCAN) methods. Shrimp group images were taken with a digital camera at a light intensity of 1200-3200 lux. The clustering results were compared with clustering from direct observation by two experts, each of which obtained an accuracy of 79.81 % and 72.99 % so that the average accuracy of the method was 76.4 %.

scholarly journals Compatibility of Enhancement and Segmentation of Digital Image Processing in Medical Applications

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Mayada Jabbar Kelain
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Camera ◽  
Computation Time ◽  
Segmentation Method ◽  
Watershed Segmentation ◽  
Medical Field ◽  
Nonuniform Illumination ◽  
Medical City

The proposed work is an attempt to investigate the compatibility of enhancement and segmentation within the digital image processing framework in the medical field. The correction nonuniform illumination enhancement technique and marker-controlled watershed segmentation method were conducted in order to calculate the red blood cells in digital images of blood samples. Twenty-five patients at Medical City Teaching Hospital in Baghdad participated in this study. The attained outcomes of the two mentioned methods were compared with the real results, which were obtained by a digital camera coupled with a high technology microscope. The comparison illustrated large matching between two proposed techniques and real outcomes throughout very short computation time in spite of limited features of the used computer and available MATLAB environment.

scholarly journals THE USE OF DIGITAL IMAGE PROCESSING IN ANALYSIS OF BORON, CADMIUM IN THORIUM OXIDE WITHOUT CARRIER DISTILATION WITH EMISSION SPECTROGRAPH METHOD

2012 ◽  
Vol 15 (1) ◽  
Author(s):  
Sahat Simbolon ◽  
Aryadi Aryadi ◽  
Muhtadan Muhtadan
Keyword(s):  
Image Processing ◽  
Cross Section ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Camera ◽  
Direct Determination ◽  
Gaussian Shape ◽  
X Ray ◽  
Thorium Oxide ◽  
Camera Position

THE USE OF DIGITAL IMAGE PROCESSING IN ANALYSIS OF BORON, CADMIUM IN THORIUM OXIDEWITHOUT CARRIER DISTILLATION EMISSION SPECTROGRAPH METHOD. The use of digital imageprocessing in direct determination elements of highly absorption cross-section of thermal neutron such as B andCd in nuclear fuel ThO2 without carrier distillation was described. Working and counter electrode should bemodified because volume of the sample was larger than the traditional one. Firstly, analysis of B and Cd in ThO2was recorded by X-ray film for thorax and then was proceeded by mini digital camera. All files in mini digitalcamera were transferred to computer and read by digital image processing of Matlab software. It was found thatall line spectra became Gaussian shape. Since couple of camera position and lightening system had not beendone successfully yet, therefore, quantitative analysis could not been done yet, meanwhile qualitative analysishad already been done by analysis spectra after image processing. It is easier to analysis B and Cd qualitativelyuse of image processing than densitometer instrument.Keywords : Thorium Oxide, Carrier Distillation, Image Processing, Digital Camera

scholarly journals Mathematical means and software for digital image processing when evaluating the linear resolution of aerial photographic systems

2020 ◽  
pp. 42-52
Author(s):  
Evgenii Viktorovich Chausov ◽  
Andrey Sergeevich Molchanov
Keyword(s):  
Image Processing ◽  
Transfer Function ◽  
Digital Image Processing ◽  
Digital Image ◽  
Modulation Transfer Function ◽  
Digital Camera ◽  
Modulation Transfer ◽  
Flight Tests ◽  
Flight Experiment ◽  
Linear Resolution

The authors consider the issues of evaluating digital aerial photographic systems based on the modulation transfer function. Special attention is paid to the issues of synthesis of mathematical and software for processing digital images when evaluating the linear resolution of aerial photographic systems. The basis of the mathematical support is the original method for evaluating the linear resolution on the ground using the modulation transfer function, taking into account the results of the flight experiment. The software is implemented in an automated complex for image processing of digital aerial photographic systems, which automatically calculates the modulation transfer function based on the results of the flight experiment. The research methodology combines methods of systems analysis, digital image processing, probability theory, mathematical modeling and software engineering. The main conclusion of the study, confirmed by the results of determining the experimental function of modulation transfer using an automated image processing complex based on images obtained during flight tests of a digital camera of the complex from the Orlan-10 unmanned aerial vehicle, is to confirm the operability of the developed automated complex for digital image processing, which makes it possible to use it to estimate the linear resolution on the ground during flight tests of aerial photographic systems of aerial reconnaissance and surveillance.

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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