scholarly journals Determination of Radiation Shielding Properties of Fabrics using Image Processing Method

2017 ◽  
Vol 132 (3-II) ◽  
pp. 1171-1172
Author(s):  
Ş. Kilinçarslan ◽  
İ.S. Üncü ◽  
İ. Akkurt ◽  
K. Günoğlu ◽  
F. Akarslan ◽  
...  
2015 ◽  
Vol 48 (2) ◽  
pp. 5-14
Author(s):  
R. Farrokhi Teimourlou ◽  
H. Taghavifar

Abstract The present study is aimed at determination of the super-elliptic shape of tire-soil contact area using image processing method. Contact area has a substantial role on determination of soil compaction and tractive parameters of agricultural tractors. A very well-known model in this realm is to describe the contact area with superellipse geometry. A soil bin testing facility equipped with a single-wheel tester was utilized to conduct the needed experiments. The experiments were carried out at three levels of wheel load, three levels of tire inflation pressure with three replicates in a completely randomized block design. Corresponding images were taken for each of the experiments and the images were processed accordingly. The contact length and width were determined using imdistline command in MATLAB commercial software. This experiment was conducted at three levels of wheel load (2, 3, and 4 kN), and three levels of tire inflation pressure (100, 200, and 300 kPa) with three replications. The aforementioned parameters were applied consequently in the superellipse model and the contact area was computed. The obtained results disclosed that increase of wheel load increases the contact area. Contradictory, increment of tire inflation pressure reduces the formed contact area. Additionally, the potential of contact area determination with the proposed model was compared with that of actual values, which denoted coefficient of determination equal to 0.96, which shows the promising ability of the proposed model and the appropriateness of describing contact area with superellipse geometry


Author(s):  
Fang Wang ◽  
Yi-Zhao Li ◽  
Li-Ping Li ◽  
De-Ren Kong

After the first initiation, the Fuel Air Explosive (FAE) cloud formed through fuel explosion dispersal and it will generate tremendous damaging power after being detonated the second time. As the damaging power is closely related to the determination of reinitiation time, it is of great significance to study the growth principle of FAE cloud by means of analyzing FAE cloud images. Combining with background subtraction and region growing, an improved region growing image processing method was proposed, in which the seeds of region growing abstracted through background subtraction method and the growing criterion was modified. With this method, the integrate area of cloud can be obtained for extracting geometric parameters. Experiments were carried out on both cloudy and sunny days, and image overlap score was used to quantitatively evaluate the accuracy of images segmentation. The result indicated that this image processing method has advantages of high precision and robustness. In addition, the computation burden is reduced significantly compared with traditional region growing method.


Author(s):  
Longji Du ◽  
Shi Zhang ◽  
Liming Chen ◽  
Jinglong Ye ◽  
Meiting Ma ◽  
...  

2021 ◽  
Vol 40 (2) ◽  
Author(s):  
Amir Movafeghi ◽  
Effat Yahaghi ◽  
Mahdi Mirzapour ◽  
Pouyan ShayganFar

Sign in / Sign up

Export Citation Format

Share Document