scholarly journals OPTICAL BLUR DISTURBS – THE INFLUENCE OF OPTICAL-BLURRED IMAGES IN PHOTOGRAMMTRY

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 383-388
Author(s):  
T. Sieberth
Keyword(s):  
Target Detection ◽  
Camera Calibration ◽  
Light Field ◽  
Negative Influence ◽  
Motion Blur ◽  
Automatic Target Detection ◽  
Experienced Operator ◽  
Optical Blur ◽  
Blurred Images

Abstract. Photogrammetric processes such as camera calibration, feature and target detection and referencing are assumed to strongly depend on the quality of the images that are provided for the process. Consequently, motion and optically blurred images are usually excluded from photogrammetric processes to supress their negative influence. To evaluate how much optical blur is acceptable and how large the influence of optical blur is on photogrammetric procedures a variety of test environments were established. These were based upon previous motion blur research and included test fields for the analysis of camera calibration. For the evaluation, a DSLR camera as well as Lytro Illum light field camera were used. The results show that optical blur has a negative influence on photogrammetric procedures, mostly automatic target detection. With the intervention of an experienced operator and the use of semi-automatic tools, acceptable results can be established.

scholarly journals Restoration of Motion Blurred Image by Modified DeblurGAN for Enhancing the Accuracies of Finger-Vein Recognition

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4635
Author(s):  
Jiho Choi ◽  
Jin-Seong Hong ◽  
Muhammad Owais ◽  
Seung-Gu Kim ◽  
Kang-Ryoung Park
Keyword(s):  
Recognition Performance ◽  
Skin Layer ◽  
Motion Blur ◽  
Generative Adversarial Network ◽  
Finger Vein ◽  
Vein Recognition ◽  
Restoration Method ◽  
Optical Blur ◽  
Blurred Images ◽  
Finger Vein Recognition

Among many available biometrics identification methods, finger-vein recognition has an advantage that is difficult to counterfeit, as finger veins are located under the skin, and high user convenience as a non-invasive image capturing device is used for recognition. However, blurring can occur when acquiring finger-vein images, and such blur can be mainly categorized into three types. First, skin scattering blur due to light scattering in the skin layer; second, optical blur occurs due to lens focus mismatching; and third, motion blur exists due to finger movements. Blurred images generated in these kinds of blur can significantly reduce finger-vein recognition performance. Therefore, restoration of blurred finger-vein images is necessary. Most of the previous studies have addressed the restoration method of skin scattering blurred images and some of the studies have addressed the restoration method of optically blurred images. However, there has been no research on restoration methods of motion blurred finger-vein images that can occur in actual environments. To address this problem, this study proposes a new method for improving the finger-vein recognition performance by restoring motion blurred finger-vein images using a modified deblur generative adversarial network (modified DeblurGAN). Based on an experiment conducted using two open databases, the Shandong University homologous multi-modal traits (SDUMLA-HMT) finger-vein database and Hong Kong Polytechnic University finger-image database version 1, the proposed method demonstrates outstanding performance that is better than those obtained using state-of-the-art methods.

scholarly journals Research on Subway Pedestrian Detection Algorithm Based on Big Data Cleaning Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhuoyang Lyu
Keyword(s):  
Data Cleaning ◽  
Pedestrian Detection ◽  
Detection Algorithm ◽  
Motion Blur ◽  
Cleaning Process ◽  
Detection Model ◽  
Subway Stations ◽  
Cleaning Technology ◽  
Blurred Images

The pedestrian detection model has a high requirement on the quality of the dataset. Concerning this problem, this paper uses data cleaning technology to improve the quality of the dataset, so as to improve the performance of the pedestrian detection model. The dataset used in this paper is obtained from subway stations in Beijing and Nanjing. The data images’ quality is subject to motion blur, uneven illumination, and other noisy factors. Therefore, data cleaning is very important for this paper. The data cleaning process in this paper is divided into two parts: detection and correction. First, the whole dataset goes through blur detection, and the severely blurred images are filtered as the difficult samples. Then, the image is sent to DeblurGAN for deblur processing. 2D gamma function adaptive illumination correction algorithm is used to correct the subway pedestrian image. Then, the processed data is sent to the pedestrian detection model. Under different data cleaning datasets, through the analysis of the detection results, it is proved that the data cleaning process significantly improves the detection model’s performance.

Semi-automated methods for 3-D reconstruction of macromolecular complexes

1995 ◽  
Vol 53 ◽  
pp. 42-43
Author(s):  
B. Carragher ◽  
M. Whittaker
Keyword(s):  
Three Dimensional ◽  
Time Saving ◽  
Macromolecular Complexes ◽  
Symmetry Properties ◽  
Dimensional Reconstruction ◽  
Experienced Operator ◽  
Projection Images ◽  
The Individual ◽  
Natural Symmetry

Techniques for three-dimensional reconstruction of macromolecular complexes from electron micrographs have been successfully used for many years. These include methods which take advantage of the natural symmetry properties of the structure (for example helical or icosahedral) as well as those that use single axis or other tilting geometries to reconstruct from a set of projection images. These techniques have traditionally relied on a very experienced operator to manually perform the often numerous and time consuming steps required to obtain the final reconstruction. While the guidance and oversight of an experienced and critical operator will always be an essential component of these techniques, recent advances in computer technology, microprocessor controlled microscopes and the availability of high quality CCD cameras have provided the means to automate many of the individual steps.During the acquisition of data automation provides benefits not only in terms of convenience and time saving but also in circumstances where manual procedures limit the quality of the final reconstruction.

Kualitas Hidup Pasien Tuberkulosis Paru yang Mengalami Stigma Diri (Quality of Life Pulmonary Tuberculosis Patients With Self Stigma))

2019 ◽  
Vol 3 (2) ◽  
pp. 17-27
Author(s):  
Yunita Sari
Keyword(s):  
Quality Of Life ◽  
Pulmonary Tuberculosis ◽  
Descriptive Study ◽  
Negative Influence ◽  
Questionnaire Data ◽  
Average Quality ◽  
Tuberculosis Patients ◽  
Pulmonary Tb ◽  
Life Score

Pulmonary tuberculosis (TB) is a chronic disease that can bring about the sufferer's self-stigma and also affect his quality of life. A number of studies report that living with TB has a negative influence on the quality of life of sufferers even with or without self-stigma. The purpose of this study was to identify the quality of life of TB patients who experienced self-stigma. This research is a descriptive study, sample were 31 pulmonary TB patients. Data was collected using a questionnaire. Data analyzed by using frequency distribution and percentage. The researcher first screened TB patients who experienced self-stigma. The results showed that 25 people (80.64%) respondents experienced mild self-stigma. A total of 9 respondents (36%) had a quality of life score in the good category and as many as 16 respondents (64%) had enough category with an average quality of life score is 56.57. While respondents who had moderate self-stigma were 6 people (19.36%) with a good quality of life score was 1 person (16.67%) and enough category quality of life score were 5 people (83.33%) with an average quality of life score is 49.92.

Fast Automatic Target Detection System Based on a Visible Image Sensor and Ripple Algorithm

2013 ◽  
Vol 13 (7) ◽  
pp. 2720-2728 ◽  
Author(s):  
Jinhui Lan ◽  
Jian Li ◽  
Yong Xiang ◽  
Tonghuan Huang ◽  
Yixin Yin ◽  
...  
Keyword(s):  
Target Detection ◽  
Detection System ◽  
Image Sensor ◽  
Visible Image ◽  
Automatic Target Detection

scholarly journals Edema and gingival bleeding in anterior region have a negative influence on quality of life of adolescents

2018 ◽  
Vol 32 (0) ◽  
Author(s):  
Marília Cunha MARONEZE ◽  
Lucas Miers GOERGEN ◽  
Rae Cristian Lanza de SOUZA ◽  
José Mariano da ROCHA ◽  
Thiago Machado ARDENGHI
Keyword(s):  
Quality Of Life ◽  
Negative Influence ◽  
Anterior Region ◽  
Gingival Bleeding

scholarly journals Capillary Polypropylene Membranes for Membrane Distillation

Fibers ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Marek Gryta
Keyword(s):  
Continuous Process ◽  
Negative Influence ◽  
Membrane Distillation ◽  
Water Desalination ◽  
Porous Membranes ◽  
Surface Porosity ◽  
Permeate Flux ◽  
Thermally Induced

Only nonwetted porous membranes can be used in membrane distillation. The possibility of application in this process the capillary polypropylene membranes manufactured by thermally-induced phase separation was studied. The performance of a few types of membranes available commercially was presented. The resistance of the membranes to wetting was tested in the continuous process of water desalination. These studies were carried out for 1000 h without module cleaning. The presence of scaling layer on the membranes surface was confirmed by Scanning Electron Microscope observations. Both the permeate flux and distillate conductivity were almost not varied after the studied period of time, what indicates that the used membranes maintained their nonwettability, and the negative influence of scaling was limited. The role of surface porosity on the pore wetting and influence of membrane wettability on the quality of the distillate obtained were discussed.

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