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).

A simple method for evaluating image quality of screen-film system using a high-performance digital camera

2009 ◽  
Author(s):  
Naotoshi Fujita ◽  
Asumi Yamazaki ◽  
Katsuhiro Ichikawa ◽  
Yoshie Kodera
Keyword(s):  
Image Quality ◽  
High Performance ◽  
Digital Camera ◽  
Film System ◽  
Simple Method

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

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.

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.

scholarly journals Measuring the image quality of digital-camera sensors by a ping-pong ball

2014 ◽  
Author(s):  
Antonio M. Pozo ◽  
Manuel Rubiño ◽  
José J. Castro ◽  
Carlos Salas ◽  
Francisco Pérez-Ocón
Keyword(s):  
Image Quality ◽  
Digital Camera ◽  
Ping Pong ◽  
Camera Sensors ◽  
Ping Pong Ball

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.

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