Measurement method for human body anteflexion angle based on image processing

2019 ◽  
Vol 29 (4) ◽  
pp. 518-530 ◽  
Author(s):  
Yujing Zhang ◽  
Xu Lu
Keyword(s):  
Image Processing ◽  
Human Body ◽  
Measurement Method

MEASUREMENT METHOD FOR WAVE RUNUP HEIGHT USING IMAGE PROCESSING TECHNOLOGY

2019 ◽  
Vol 75 (2) ◽  
pp. I_1267-I_1272
Author(s):  
Naoki FUKUHARA ◽  
Tetsuya TAKESHITA ◽  
Fuminori KATO ◽  
Takuya TERANISHI ◽  
Takahiro AKITA ◽  
...  
Keyword(s):  
Image Processing ◽  
Measurement Method ◽  
Processing Technology ◽  
Wave Runup ◽  
Image Processing Technology ◽  
Runup Height

Study on the Measuring and Positioning of the Rim Valve Hole Based on Machine Vision

2014 ◽  
Vol 711 ◽  
pp. 333-337 ◽  
Author(s):  
Fang Wang ◽  
Chao Kun Ma ◽  
Shan Qiang Dai ◽  
Chang Chun Li
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Measurement Method ◽  
Ccd Camera ◽  
Servo Motor ◽  
Processing Characteristic ◽  
Linear Ccd ◽  
Hole Position ◽  
And Control

The author has designed a visual workbench to realize that the rim can rotate with the workbench. Meanwhile, the linear CCD camera records the rim’s circumference. The paper has explored the measurement method of getting the rim valve hole position using machine vision. The system can calculate the position of rim-hole and control the servo motor by image processing, characteristic recognizing and measuring to locate the position of wheel-hole automatically. And the paper has verified the accuracy of the method by experiments.

The measurement method of human body bust based on Kinect depth image

2015 ◽  
pp. 231-235
Author(s):  
Y Chong ◽  
Y Wang ◽  
S Pan ◽  
Z Wang ◽  
H Dai ◽  
...  
Keyword(s):  
Human Body ◽  
Measurement Method ◽  
Depth Image

scholarly journals Postpartum Blood Loss Measurement Using Digital Image Processing

2018 ◽  
Vol 73 ◽  
pp. 13023
Author(s):  
Siska Febrina Fauziah ◽  
Suryono Suryono ◽  
Melyana Nurul Widyawati
Keyword(s):  
Image Processing ◽  
Blood Loss ◽  
Blood Volume ◽  
Digital Image Processing ◽  
Digital Image ◽  
Measurement Method ◽  
Delivery Care ◽  
Loss Measurement ◽  
Postpartum Blood Loss ◽  
Image Area

Most of maternal mortality is directly caused by obstetric hemorrhage and almost three-quarters of it take place in postpartum period. The risk of maternal death due to hemorrhage can be reduced with prompt and proper care that in turn relates to the blood loss measurement method used. Unfortunately, the most commonly practiced method is not yet accurate enough. This research proposes a postpartum blood loss measurement method using digital image processing. Initially, characterization is carried out to find out blood absorbance against digital image area and blood volume in the underpad. Results of this characterization then serve as the basis for blood loss measurement using digital image processing. This measurement basis is validated by measuring blood volume lost during delivery care. Results show that the area and volume of blood absorbed in the underpad has significant linear relation (R = 0.9734). Digital image processing can be used to measure postpartum blood loss with a high accuracy up to 83.7%. The use of this method is therefore an accurate and objective alternative to the other available method. Nonetheless, the use of this new method must also adhere to standard guidelines in delivery care as to ensure the utmost outcomes.

3D Digitization of Human Body Based on Checkerboard Matching

2013 ◽  
Vol 718-720 ◽  
pp. 1108-1112
Author(s):  
Jian Li ◽  
Cheng Yan Zhang ◽  
Xue Li Xu ◽  
Hai Feng Chen
Keyword(s):  
Feature Extraction ◽  
Body Size ◽  
Human Body ◽  
Measurement Method ◽  
Stereo Matching ◽  
Low Cost ◽  
Size Measurement ◽  
Body Images ◽  
General Application ◽  
3D Digitization

A body-size measurement method based on checkerboard matching is proposed. First, calibrated cameras are used to acquire two body images after projecting chess boards on human body with projector. Then, the parallax of the two images is got by feature extraction and stereo matching. Finally, we can calculate the 3D coordinates of the human body according to the principle of binocular vision to complete the acquisition of body size. The result shows that measurement error is ± 4%. This study can measure automatically and improve precision compared with traditional methods while it has low-cost, simple operation compared with the non-contact measurement. And the results accuracy can meet its general application in practice.

scholarly journals Assessment of method for measuring clo value using human body – Assessment of method for measuring clo value that assumes human body temperature adjustment

2019 ◽  
Vol 111 ◽  
pp. 06050
Author(s):  
Yoshiaki Yamato ◽  
Yoshihito Kurazumi ◽  
Kenta Fukagawa ◽  
Kunihito Tobita ◽  
Emi Kondo
Keyword(s):  
Heat Loss ◽  
Constant Temperature ◽  
Temperature Control ◽  
Human Body ◽  
Measurement Method ◽  
Heat Dissipation ◽  
Control Method ◽  
Thermal Manikin ◽  
Constant Heat ◽  
Human Body Temperature

In order to make it possible to measure the clo value in various postures, we are studying the measurement method using the human body. Our previous researches showed that clo value measured with the human body is less than that measured with a “constant temperature control”-type thermal manikin. In our previous experiments, human body changes its skin temperature in response to the amount of clothing or changes in the temperature to maintain heat loss, while a “constant temperature control”-type thermal manikin changes its heat loss in response to the temperature or amount of clothing. Human body reaction is similar to “constant heat dissipation” -type thermal manikin. In order to improve the clo value measurement method using the human body, clo value of same clothing by thermal manikin which changed control method to “constant temperature” and “constant heat dissipation” were measured. Relational expressions of thermal insulation of clothes measured by different control methods were shown.

Segmentation of Different Tissues of Brain From MR Image

2019 ◽  
pp. 142-180
Author(s):  
Ankur Priyadarshi
Keyword(s):  
Image Processing ◽  
Human Body ◽  
Medical Image Processing ◽  
The Body ◽  
Tissue Type ◽  
Mr Image ◽  
Research Fields ◽  
Multiple Thresholds ◽  
Initial Segmentation ◽  
Different Tissues

In the most recent couple of decades, medical image processing stood out within picture preparing research fields because of its nonintrusive nature. Restorative imaging modalities, for example, MRI, CT filter, for the most part, rely upon computer imaging innovation to create or show advanced pictures of the inward organs of the human body, which causes the medicine professionals to envision the internal bits of the body. Here the proposed algorithm is thresholding different tissue type of brain MR image. Modes of the histogram represent different tissue types in brain MR image. So, this algorithm depends on the principle of finding maxima and minima using differentiation of the smoothed histogram. Using discrete differentiation, the author finds the multiple thresholds of brain MR image by selecting proper location of minima. The algorithm can be used as an initial segmentation of different tissue types of brain MR image for further accurate detection of the regions.

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