scholarly journals Pengaruh Pencahayaan terhadap Kinerja Segmentasi

2014 ◽  
Vol 5 (1) ◽  
pp. 466
Author(s):  
Iman H. Kartowisatro
Keyword(s):  
Image Quality ◽  
Light Intensity ◽  
Digital Image ◽  
Segmentation Process ◽  
Reflection Of Light

 Light intensity may affect the image quality of an object that can cause barriers in doing preprocessing to improve the image quality of a digital image. Furthermore, this would also be an impact on subsequent processes, such as sorting images according to the needs. Light intensity influences the reflection of light which translates into an image. This gives an impact on successful segmentation process. Examples of the success and failure of segmentation are presented in this paper.

scholarly journals Digital imaging in pathology: the case for standardization

2005 ◽  
Vol 11 (3) ◽  
pp. 109-116 ◽  
Author(s):  
Yukako Yagi ◽  
John R Gilbertson
Keyword(s):  
Image Quality ◽  
Sample Preparation ◽  
Digital Image ◽  
Digital Imaging ◽  
Public Organization ◽  
Extensive Literature ◽  
Direct Examination ◽  
Transmission Of Information ◽  
Complete Process

The process of digital imaging in microscopy is a series of operations, each contributing to the quality of the final image that is displayed on the computer monitor. The operations include sample preparation and staining by histology, optical image formation by the microscope, digital image sampling by the camera sensor, postprocessing and compression, transmission across the network and display on the monitor. There is an extensive literature about digital imaging and each step of the process is fairly well understood. However, the complete process is very hard to standardize or even to understand fully. The important concepts for pathology imaging standards are: (1) systems should be able to share image files, (2) the standards should allow the transmission of information on baseline colours and recommended display parameters, (3) the images should be useful to the pathologist, not necessarily better or worse than direct examination of a slide under the microscope, (4) a mechanism to evaluate image quality objectively should be present, (5) a mechanism to adjust and correct the minor errors of tissue processing should be developed, (6) a public organization should support pathologists in the development of standards.

scholarly journals Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna

2011 ◽  
Vol 5 (3) ◽  
pp. 29
Author(s):  
Ika Purwanti Ningrum ◽  
Agfianto Eko Putra ◽  
Dian Nursantika
Keyword(s):  
Image Quality ◽  
Digital Image ◽  
Color Image ◽  
Median Filter ◽  
Bilateral Filter ◽  
Filter Method ◽  
Noise Filtering ◽  
Original Image ◽  
Average Filter

Quality of digital image can decrease becouse some noises. Noise can come from lower quality of image recorder, disturb when transmission data process and weather. Noise filtering can make image better becouse will filtering that noise from the image and can improve quality of digital image. This research have aim to improve color image quality with filtering noise. Noise (Gaussian, Speckle, Salt&Pepper) will apply to original image, noise from image will filtering use Bilateral Filter method, Median Filter method and Average Filter method so can improve color image quality. To know how well this research do, we use PSNR (Peak Signal to Noise Ratio) criteria with compared original image and filtering image (image after using noise and filtering noise).This research result with noise filtering Gaussian (variance = 0.5), highest PSNR value found in the Bilateral Filter method is 27.69. Noise filtering Speckle (variance = 0.5), highest PSNR value found in the Average Filter method is 34.12. Noise filtering Salt&Pepper (variance = 0.5), highest PSNR value found in the Median Filter method is 31.27. Keywords— Bilateral Filter, image restoration, derau Gaussian, Speckle dan Salt&Pepper

Typical errors when performing intraoral periapical x-rays, and their effect on image quality

2020 ◽  
pp. 36-44
Author(s):  
A.P. Arzhantsev
Keyword(s):  
Computed Tomography ◽  
Image Quality ◽  
Digital Image ◽  
Cone Beam ◽  
X Rays ◽  
Post Processing ◽  
X Ray ◽  
Selection Of ◽  
Periapical Radiography

During the study, intraoral periapical images were analyzed in 300 patients. The possibilities of using the methods of radiography and their influence on the quality of the obtained x-ray images were studied. The intraoral periapical radiography was compared with the results of orthopantomography and cone beam computed tomography. To identify the features of the mapping of zones of periapical destruction, 47 experimental x-ray studies were performed on skeletonized jaws with artificial defects in cortical plates. Often encountered errors are: an arbitrary choice of angles of inclination and the centration of the x-ray tube, the wrong location of the x-ray receiver in the patient's mouth, inaccurate installation or poor fixation of the patient's head, inefficient selection of physical and technical conditions of shooting, non-compliance with the conditions of the photo process with analog radiography or post-processing and printing digital image. The characteristic projection distortions of images resulting from these errors are analyzed and illustrated.

DIGITAL IMAGE QUALITY UNDER DIFFERENT LIGHT CONDITIONS RESEARCH

2020 ◽  
pp. 27-33
Author(s):  
D. V. Philippov ◽  
D. D. Rulev ◽  
I. N. Chursin
Keyword(s):  
Image Quality ◽  
Digital Image ◽  
Test Object ◽  
Digital Camera ◽  
Unmanned Aircraft ◽  
Entire Area ◽  
Spectral Profiles ◽  
White Sheet ◽  
Color Scales

The article is devoted to the study of digital image quality at different levels of daylight. The quality of the digital image was evaluated by the resolution and contrast of the image in three spectral zones: blue, green and red. The test object for photographing was a white sheet of 594X841mm format with line targets, color scales and an image of an optical step wedge located on it. Line targets were located over the entire area of the sheet, which made it possible to study the image quality over all its area. Digital photography was performed by a NIKON SLR camera and was accompanied by measurements of illumination in the plane of the test object with the measurement of the height of the sun by theodolite. The resolution of the digital camera was measured during the day interval from 3:00 to 22:00. For each hour of shooting resolution was determined by 9 line targets, 8 of which were located on the perimeter of the sheet and one in the center. Spectral profiles on color scales were also obtained for each ur, and the value of contrast on the image of the optical wedge was determined. As a result of the study, an effective daily interval was determined to perform digital shooting from unmanned aircraft for the Moscow region (55°45′07″ W).

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 PENGUKURAN KUALITAS CITRA DIGITAL COMPUTED RADIOGRAPHY MENGGUNAKAN PROGRAM PENGOLAH CITRA

2016 ◽  
Vol 12 (2) ◽  
pp. 161-168 ◽  
Author(s):  
D. R. Ningtias ◽  
S. Suryono ◽  
S. Susilo
Keyword(s):  
Quality Control ◽  
Image Quality ◽  
Transfer Function ◽  
Spatial Resolution ◽  
Digital Image ◽  
Modulation Transfer Function ◽  
Computed Radiography ◽  
Modulation Transfer ◽  
Cr System

Penelitian yang telah dilakukan adalah pembuatan dan penghitungan kualitas citra digital menggunakan program Modulation Transfer Function (MTF) pada sistem Computed Radiography (CR) untuk kegiatan Quality Control (QC). MTF dapat digunakan untuk menganalisis resolusi spasial citra digital secara akurat. Pada penelitian ini menggunakan phantom yang terbuat dari tembaga berukuran 15x15 cm dengan ketebalan 1 mm. Phantom dieksposi dengan variasi tegangan 50 kV, 60 kV, 70 kV dan 81 kV dan masing-masing dilakukan variasi arus. Data yang diperoleh berupa file citra digital radiografi format DICOM yang kemudian dilakukan analisis kualitas citranya menggunakan PC diluar sistem CR dengan metode MTF. Metode ini sangat efisien dalam melakukan QC resolusi spasial secara kuantitatif sehingga dapat digunakan untuk menilai kualitas pesawat CR. Hasil pengukuran menunjukkan bahwa semakin tinggi tegangan yang digunakan, maka kualitas citra semakin baik dengan arus optimal pada rentang 4-8 mAs dengan rata-rata nilai resolusi spasial 7,26 lp/mm.The research was analyzing of digital image quality by using Modulation Transfer Function (MTF) on Computed Radiography (CR) system for Quality Control (QC). MTF can be used for analyzing digital image spatial resolution accurately. The research used phantom that made of 15x15 cm2 copper and 1 mm thickness. The phantom was expounded with voltage variations by 50 kV, 60 kV, 70 kV dan 81 kV and each of them have been taken by variations of the current. The the image quality of data obtained in the form of radiography digital image files with DICOM format were then analyzed using PC out of CR system with methode of MTF. This methode is really efficient for QC spatial resolution quantitatively and so it can be used for assesing the quality of CR. The measurement results showed that the higher the voltage, the better image quality with optimal current was on the range between 4-8 mAs with the average value of MTF 7,26 lp/mm.

scholarly journals Color Image Quality in Presentation Software

2008 ◽  
Vol 2008 ◽  
pp. 1-6 ◽  
Author(s):  
Edison Valencia ◽  
María S. Millán
Keyword(s):  
Image Quality ◽  
Digital Image ◽  
Color Image ◽  
Color Difference ◽  
Presentation Software ◽  
Quality Of Presentation

The color image quality of presentation programs is evaluated and measured using S-CIELAB and CIEDE2000 color difference formulae. A color digital image in its original format is compared with the same image already imported by the program and introduced as a part of a slide. Two widely used presentation programs—Microsoft PowerPoint 2004 for Mac and Apple's Keynote 3.0.2—are evaluated in this work.

scholarly journals Faktor Eksposi terhadap Kualitas Citra Radiografi dan Dosis Pasien Menggunakan Parameter Penilaian Signal to Noise Ratio (SNR) pada Pemeriksaan Thorax Posteroanterior dengan Menggunakan Pesawat Computed Radiografi

2021 ◽  
Vol 7 (1) ◽  
pp. 15-18
Author(s):  
Surdiyah Asriningrum ◽  
Khaerul Ansory ◽  
Putra Tri Hasan
Keyword(s):  
Image Quality ◽  
Digital Image ◽  
Computed Radiography ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Measurement Results ◽  
Noise Ratio ◽  
Dose Radiation ◽  
Average Body

Background: The research was analyzing digital image quality and estimation dose patient by using  Signal to Noise Ratio (SNR) on Computed Radiography. SNR can be used for analyzing digital image spatial resolution and estimation dose accurately. The aims of this study to determine the influence of exposure factors on image quality and estimation dose patient.Methods: This type of research is a quantitative method with an experimental study. Direct experiments in August 2020 assessment with a sample of 9 adults posteroanterior chest photo with the average age of 20-50 years old with an average body weight of 50-69 kilograms. Results: The measurement results showed that the digital images will be analyzed by SNR, so it can be determined the optimum exposed factor of the highest SNR value and dose radiation. From the analysis, the highest SNR value at 121 kV, current 1 mAs, the lower dose radiation at 121 kV, current 0,9 mAs.Conclusions: There was an influence variation of an exposed factor on the quality of the image and dose to the patient.

RANCANG BANGUN APLIKASI PERBAIKAN CITRA DIGITAL MENGGUNAKAN PROSES KONVOLUSI

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Tito Sugiharto
Keyword(s):  
Quality Improvement ◽  
Image Quality ◽  
Digital Image ◽  
Black Box ◽  
Imaging Tool ◽  
Convolution Process ◽  
Black Box Testing ◽  
Image Quality Improvement ◽  
White Box Testing

Abstrak�Penelitian ini dibuat bertujuan untuk menghasilkan suatu aplikasi perangkat lunak untuk meningkatkan kualitas citra digital dengan menggunakan proses konvolusi. Target penelitian yang ingin dicapai adalah adanya aplikasi perbaikan kualitas citra digital untuk file citra digital bertipe jpg dan bmp. Foto atau citra digital yang dihasilkan dari berbagai alat pencitraan memiliki kualitas citra yang berbeda-beda. Kualitas dari sebuah citra dapat ditentukan dari pencahayaan, teknik pengambilan gambar, resolusi alat pencitraan, dan pemilihan alat pencitraan. Setiap orang menginginkan hasil fotografi dengan kualitas citra yang baik. Tetapi pada kenyataannya hasil dari pengambilan sebuah foto atau citra terkadang tidak bagus.Penelitian ini akan membahas bagaimana merancang dan mengembangkan aplikasi perbaikan kualitas citra digital dengan menggunakan proses konvolusi. Model pengembangan sistem yang digunakan dalam penelitian ini adalah RUP (Rational Unified Proces). Aplikasi ini dibuat menggunakan bahasa pemrograman Borland Delphi 7.0. Proses pengujian dilakukan dengan menggunakan pengujian Black Box Testing dan White Box Testing.�Kata Kunci : Citra Digital, Kualitas Citra, Konvolusi, Delphi, RUP��Abstract�This research is aimed to produce a software application to improve the quality of digital image by using convolution process. The objective of this research is the application of digital image quality improvement for digital image file of type jpg and bmp. Photos or digital images generated from various imaging tools that have different image quality. The quality of an image can be determined from the lighting, the shooting technique, the resolution of the imaging tool, and the selection of the imaging tool. Everyone wants photography with good image quality but in fact the result of taking a photo or image sometimes is not good. This research will discuss how to design and develop digital image quality improvement application using convolution process. System development model used in this research is RUP (Rational Unified Proces). This application is made using Borland Delphi 7.0 programming language. The testing process is done by testing Black Box Testing and White Box Testing.�Keywords: Digital Image, Image Quality, Convolution, Delphi, RUP

The effect of X-ray tube potential on the image quality of PA chest radiographs when using digital image acquisition devices

Radiography ◽  
2004 ◽  
Vol 10 (4) ◽  
pp. 287-292 ◽  
Author(s):  
Mark F. McEntee ◽  
Patrick C. Brennan ◽  
Geraldine O. Connor
Keyword(s):  
Image Quality ◽  
Digital Image ◽  
Image Acquisition ◽  
Chest Radiographs ◽  
X Ray ◽  
Tube Potential
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