Image Processing Methodology for Determining SI Precipitate Size and Density in Oxide Layers from Conical Dark Field TEM Micrographs

2001 ◽  
Vol 7 (S2) ◽  
pp. 832-833
Author(s):  
A. Domenicucci
Keyword(s):  
Image Processing ◽  
Low Cost ◽  
Dark Field ◽  
Precipitate Size ◽  
Second Phase ◽  
Oxide Breakdown ◽  
Image Processing Techniques ◽  
Transmission Electron ◽  
The Matrix ◽  
Processing Techniques

Image processing techniques have been used for decades in many branches of science. with the advent of low cost, highresolution CCD cameras and the advances in personal computing, techniques previously used in other disciplines are increasingly being applied by transmission electron microscopists. The present paper gives an example of using image processing techniques for characterizing the number and size of second phase precipitates in an oxide matrix.Si inclusions in the form of Si precipitates can occur in silicon dioxide films. The inclusions are contained within the films and effectively reduce the local thickness of the oxide. This thinning results in a reduction in the voltage necessary to cause oxide breakdown; the larger is the precipitate, the lower the breakdown voltage. Knowledge of the precipitate size and density is therefore important when assessing the dielectric integrity of these films. The Si precipitates are crystalline and more or less randomly oriented within the matrix.

scholarly journals Low cost blood vein detection system based on near-infrared LEDs and image-processing techniques

2020 ◽  
Vol 26 (2) ◽  
pp. 61-67
Author(s):  
Mohammed J. Alwazzan
Keyword(s):  
Image Processing ◽  
Near Infrared ◽  
Detection System ◽  
Low Cost ◽  
Ccd Camera ◽  
Accurate Identification ◽  
Image Processing Techniques ◽  
A Charge ◽  
Processing Techniques ◽  
Palm Of The Hand

AbstractDrawing blood and injecting drugs are common medical procedures, for which accurate identification of veins is needed to avoid causing unnecessary pain. In this paper, we propose a low-cost system for the detection of veins. The system emits near-infrared radiation from four light-emitting diodes (LEDs), with a charge-coupled device (CCD) camera located in the middle of the LEDs. The camera captures an image of the palm of the hand. A series of digital image-processing techniques, ranging from image enhancement and increased contrast to isolation using a threshold limit based on statistical properties, are applied to effectively isolate the veins from the rest of the image.

Applications of image processing techniques to the structural characterization of small metallic particles

1988 ◽  
Vol 46 ◽  
pp. 838-839
Author(s):  
R. Pérez ◽  
J.G. Pérez-Ramírez
Keyword(s):  
Image Processing ◽  
Structural Characteristics ◽  
Fold Axis ◽  
Gold Particles ◽  
Metallic Particles ◽  
Image Processing Techniques ◽  
Transmission Electron ◽  
Lattice Resolution ◽  
Processing Techniques

Digital image processing techniques have become one of the main tools on image characterization in transmission electron microscopy. Applications of these techniques in the field of small metallic particles are widely known. The results presented in this communication explore some of the structural characteristics of decahedral gold particles. The work is based on HREM images of these type of particles obtained along five-fold axis.Small gold particles have been prepared by evaporation onto a vacuum cleaved NaCl surface. Lattice resolution images and microdiffraction patterns from individual particles have been obtained. Some of the images have been digitized with a scanning microdensitometer and computer processed.Fig. 1 shows a HREM image of a decahedral gold particle obtained under diffraction conditions close to a five-fold zone axis. This image has been digitized and a computed “microdiffraction” pattern has been obtained from each of the five segments.

scholarly journals Image To Speech Synthesizer with Reference to Assamese Numerals

2019 ◽  
Vol 9 (1) ◽  
pp. 900-905
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
Research Work ◽  
Second Phase ◽  
Digital Form ◽  
Speech Synthesizer ◽  
Image Processing Techniques ◽  
Digital World ◽  
Matching Technique ◽  
Processing Techniques

In this research work we have shown the methodology for converting printed Assamese numerals to its corresponding utterance. We have implemented as an initial effort which will read only four digit numerals. We are using Image processing techniques to convert an image of Assamese numerals into textual/digital form. In the second phase the numerals will be pronounced as a number by Google speaker. In this system, images are stored in a dataset and then inputted data is compared with the dataset image using template matching technique. After recognition of the text output will be displayed as a speech waveform. This work has many applications in today’s digital world

scholarly journals Object-based Method for Identifying New Constructions around Water Reservoirs: Preliminary Results

2019 ◽  
Author(s):  
Nayereh Hamidishad ◽  
Roberto Cesar Junior
Keyword(s):  
Image Processing ◽  
Land Cover ◽  
Low Cost ◽  
Water Reservoirs ◽  
Large Cities ◽  
Image Processing Techniques ◽  
Preliminary Results ◽  
Object Based ◽  
Level Data ◽  
Processing Techniques

Identifying new constructions in large cities can be done simply, quickly, and at low cost by applying image processing techniques on time-series remote sensing (RS) images and producing land cover maps. In recent years, object-based (OB) image classification has attracted significant attention as a method for land cover mapping. This method consists of two steps: segmentation and classification. In this research, we will develop a new approach based on image processing techniques to be utilized in the OB classification method for the analysis of urban growth. In this approach, we propose a multi-phase segmentation for the segmentation step and a rule-based method for the classification step. Besides speeding up the process of OB classification, the accuracy of the final preliminary results is another advantage of the proposed approach. Moreover, for collecting RS images, a two-zoom level data collection is adopted using an open source RGB RS database. An important application of analyzing RS images is the detection of non-authorized communities formation around water reservoirs. Therefore, in our preliminary experiments, we selected three different regions around Guarapiranga reservoir in Sao Paulo, Brazil, for collecting our RS images.

Three-Dimensional Structure of Rotavirus-Fab Complex

1990 ◽  
Vol 48 (1) ◽  
pp. 238-239
Author(s):  
B.V.V. Prasad ◽  
E. Marietta ◽  
J.W. Burns ◽  
M.K. Estes ◽  
W. Chiu
Keyword(s):  
Image Processing ◽  
Smooth Surface ◽  
Three Dimensional ◽  
Outer Shell ◽  
Dimensional Structure ◽  
Structural Studies ◽  
Cell Penetration ◽  
Electron Cryomicroscopy ◽  
Image Processing Techniques ◽  
Processing Techniques

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.

A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

2020 ◽  
pp. 967-973
Author(s):  
V. Deepika ◽  
T. Rajasenbagam
Keyword(s):  
Image Processing ◽  
Brain Tumor ◽  
Soft Tissues ◽  
Tumor Detection ◽  
Tumor Classification ◽  
Normal Brain ◽  
Image Processing Techniques ◽  
Normal Brain Function ◽  
Processing Techniques ◽  
The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

Rice Panicle Blast Detection and Grading Based on Image Processing Techniques

2019 ◽  
Vol 7 (5) ◽  
pp. 165-168 ◽  
Author(s):  
Prabira Kumar Sethy ◽  
Swaraj Kumar Sahu ◽  
Nalini Kanta Barpanda ◽  
Amiya Kumar Rath
Keyword(s):  
Image Processing ◽  
Image Processing Techniques ◽  
Panicle Blast ◽  
Processing Techniques
Sign in / Sign up

Export Citation Format

Share Document