scholarly journals IDENTIFIKASI CIRI PENYAKIT COVID 19 MENGGUNAKAN METODE WAVELET DEUBECHIES-2

2021 ◽  
Vol 4 (1) ◽  
pp. 45-50
Author(s):  
Andi Sri Irtawaty ◽  
Maria Ulfah ◽  
Nurwahidah Nurwahidah
Keyword(s):  
Image Processing ◽  
Body Temperature ◽  
Processing Technique ◽  
Processing Method ◽  
Severe Illness ◽  
X Ray ◽  
Energy Value ◽  
Binary Format ◽  
The World ◽  
Healthy Lung

Coronavirus is a type of virus that can cause mild to severe illness. Transmission from animals to humans (zoonosis) and transmission from humans to humans is very limited. The main symptoms of Covid 19 are six, namely chills, chills, muscle aches, headaches, sore throats, and loss of sense of smell accompanied by a greater body temperature of 380C, Other symptoms such as skin rashes, dizziness and redness of the eyes. The incubation period is 2-14 days. This disease has become a pandemic, the number 1 cause of death in the world today. In this research, a process of identifying the characteristics of covid 19 will be carried out based on the appearance of lung X-ray images. There are 9 samples of lung X-ray images that will be identified by their characteristics. The image processing method used is the Wavelet Deubechies 2 (Wavelet DB2) method. The processing technique is by displaying images in binary format and displaying the values ​​of approximation energy, horizontal energy, vertical energy, diagonal energy and the detailed energy of each lung image. Of the 9 sample images tested there were 4 samples of healthy lung images and 5 samples of lung images infected with the covid virus 19. It turned out that the energy value of healthy lung images was greater than the energy value of covid lung images 19. The accuracy of the method DB2 wavelet in identifying the characteristics of covid lung images 19 about 78%.

An image processing technique for the identification of contact pixels applied to X-ray CT images of implanted hip prostheses

1993 ◽  
Vol 38 (2) ◽  
pp. 323-328 ◽  
Author(s):  
E Berry ◽  
V G Langkamer ◽  
P C Jackson ◽  
M Snow ◽  
P R Goddard ◽  
...  
Keyword(s):  
Image Processing ◽  
Processing Technique ◽  
Ct Images ◽  
Image Processing Technique ◽  
Hip Prostheses ◽  
X Ray

A study on quality improvement of x-ray imaging of the respiratory-system based on a new image processing technique

2015 ◽  
Author(s):  
Jun Torii ◽  
Yuichi Nagai ◽  
Tatsuya Horita ◽  
Yuuji Matsumoto ◽  
Takehiro Izumo ◽  
...  
Keyword(s):  
Image Processing ◽  
Quality Improvement ◽  
Respiratory System ◽  
Processing Technique ◽  
Image Processing Technique ◽  
X Ray ◽  
X Ray Imaging

scholarly journals Leg Bone Fracture Segmentation and Detection using Advanced Morphological Techniques

2019 ◽  
Vol 8 (2S3) ◽  
pp. 1246-1249 ◽  
Keyword(s):  
Image Processing ◽  
Bone Fracture ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Bone Area ◽  
Fracture Detection ◽  
Statistical Parameters ◽  
Accurate Identification ◽  
X Ray ◽  
Vehicle Accidents

The bone fracture is the most common problem and is likely to occur due to traumatic incidents like vehicle accidents, sporting injuries or due to conditions like osteoporosis, cancer related to bones. Fracture cannot be viewed by naked eye and so X-ray, CT, ultrasound, MRI images are used to detect it. These images cannot be diagnosed directly and henceforth image processing plays a very important role in fracture detection. This paper presents an image processing technique that uses Laplacian method of edge detection for accurate identification of fractured bone area from the X-ray/CT images. From the fractured bone area several parameters like mean, standard deviation are calculated in order to analyze the accuracy and sensitivity of the used technique. NIVISION assistant software is used and the statistical parameters are calculated.

scholarly journals X-ray Image Processing Method for Buffer Layer Defect in High Voltage Cable

2021 ◽  
Vol 1792 (1) ◽  
pp. 012046
Author(s):  
Zhang Jun ◽  
Huang Fuyong ◽  
Liu Sanwei ◽  
Zeng Zeyu ◽  
Feng Chao ◽  
...  
Keyword(s):  
Image Processing ◽  
Buffer Layer ◽  
High Voltage ◽  
Processing Method ◽  
X Ray ◽  
Image Processing Method ◽  
Layer Defect

Digitaization of Analogue Meter Reading Using Convolution Neural Network

Mekatronika ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 28-34
Author(s):  
Azmin Raziq Rizaman ◽  
Hazlina Selamat ◽  
Nurulaqilla Khamis
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Human Error ◽  
Processing Technique ◽  
Processing Method ◽  
Image Processing Technique ◽  
Use Case ◽  
High Tendency ◽  
Central Database ◽  
Domestic Electricity

Analogue meter is a device that has been widely used in a various industry to monitor and obtain the reading of the measurement. Based on the conventional approach, the meter reading will be done continuously by the meter reader that might cause high tendency of human error during the observation. To minimize this fallacy, this approach taken in this paper enables the automation of this the process by obtaining the reading from an analogue meter using an image processing technique and send the output to the central database for further processing. By implementing this approach, observation efficacy can be improved. This paper describes the process on how to obtain the digitized reading of an analogue meter using images captured by a camera. The images are then processed using an image processing method and the Convolutional Neural Network (CNN) is used to determine the reading of the meter. Data is then sent to the MySQL database, as this approach was easily implemented and managed either on-premises or via the cloud. The use case in this study was based on the analogue meter for domestic electricity supply in Malaysia and results show that the meter reading can accurately be recognized using the proposed approach.

Image Processing Techniques on Radiological Images of Human Lungs Effected by COVID-19

2020 ◽  
Vol 4 (2) ◽  
pp. 69
Author(s):  
A.M. Sirisha ◽  
P. Venkateswararao
Keyword(s):  
Image Processing ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Wide Spread ◽  
Image Processing Techniques ◽  
Human Lungs ◽  
Significant Difference ◽  
Radiological Images ◽  
Processing Techniques ◽  
Healthy Lung

The wide spread of COVID-19 all over the world inspires every human to know and visualize its effect on human body. As   COVID-19 effects the human lungs here a number of radiological images of human lungs are analysed using an image processing technique called Threshold Segmentation. A significant difference is observed between healthy lung images and COVID-19 effected lung images.

Image Processing for Multiple Micro-Radiography Images

2014 ◽  
Vol 896 ◽  
pp. 676-680
Author(s):  
Andreas Christian Louk ◽  
Gede Bayu Suparta ◽  
Nurul Hidayah
Keyword(s):  
Image Processing ◽  
Signal To Noise Ratio ◽  
Digital Processing ◽  
Processing Method ◽  
Image Subtraction ◽  
X Ray ◽  
Summation Process ◽  
Noise Ratio ◽  
Background Image ◽  
Better Than

An image processing method has been developed for processing multiple images of x-ray micro-radiography. An x-ray micro-radiography image reflects quantum mottle so that its information content may tends to be corrupted. Therefore, a digital processing method has been developed to reduce the effect of quantum mottle as well as reducing the noise level. A set of radiographs are collected then summed. An image subtraction by a background image is carried out prior to the summation process. The signal to noise ratio (SNR) and contrast to noise ratio (CNR) after processing are compared with the SNR and CNR prior to the processing. As a result the final image for small specimen under x-ray micro-radiography inspection is better than original image without processing based on SNR and CNR assessments.

scholarly journals Implementation of a Thermal Image Processing System to Detect Possible Cases of Patients with COVID-19

2021 ◽  
Vol 11 (11) ◽  
pp. 130-139
Author(s):  
Brian Meneses Claudio ◽  
◽  
Luis Nuñez Tapia ◽  
Witman Alvarado Díaz ◽  
Alicia Alva Mantari
Keyword(s):  
Image Processing ◽  
Body Temperature ◽  
Sensitivity And Specificity ◽  
Processing System ◽  
Thermal Image ◽  
Free Movement ◽  
Infrared Thermometer ◽  
Image Processing System ◽  
Thermal Image Processing ◽  
The World

COVID-19 does not show signs of having disappeared, being a very contagious disease, the WHO recommended limiting the free movement of people, since from its appearance until May 1st, 2021, it caused the death of more than 3.2 million of people around the world. In Peru, it economically affected those people who generated income every day to survive, for this reason some activities were reactivated complying with the biosafety measures that are the use of mandatory mask and social distancing (more than 1 meter). Taking body temperature with an infrared thermometer is an optional measure, generating rejection by specialists, indicating that there is little evidence of its sensitivity and specificity and of its doubtful ability to detect fever. In view of this problem, this article will implement a thermal image processing system to detect possible cases of patients with COVID-19, in such a way that the system performs a more accurate measurement of body temperature, and it can be implemented in any place where such measurement is intended, helping to combat the spread of the virus that currently continues to affect many people. The system has a more accurate measurement of body temperature with an efficiency of 95% at 1 meter between the drone and the person, in such a way that if it presents a body temperature higher than 40°C it could be infected with COVID-19

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