scholarly journals Facial Skin Monitoring System Based on Image Processing

2021 ◽  
Vol 1881 (2) ◽  
pp. 022014
Author(s):  
Honghui Mu ◽  
Jiayan Zhang ◽  
Ting Xu
Keyword(s):  
Image Processing ◽  
Monitoring System ◽  
Facial Skin

Sa-Oiliness: A System to Measure Oiliness of Distant Subject Using Image Processing

2011 ◽  
Vol 403-408 ◽  
pp. 4462-4468
Author(s):  
Anand Gupta ◽  
Rachit Garg ◽  
Shruti Suri
Keyword(s):  
Image Processing ◽  
Medical Examination ◽  
Facial Skin ◽  
Dry Skin ◽  
Weighted Mean ◽  
Skin Texture ◽  
Skin Examination ◽  
Specific Instrument ◽  
Relative Value ◽  
Physical Presence

In medical examination of skin texture, an expert is generally needed to examine the skin texture thoroughly. It is felt that the same can be achieved through image processing, wherein a skin expert or physical presence of the patient are not needed on the spot. In the distant skin examination, expertise is required in analyzing the skin texture as appeared on the image. The texture is evaluated on the basis of oiliness of the skin, which is measured by a specific instrument [5]. As per our knowledge, the instrument is not readily available. To overcome this problem, a framework (SA-OILINESS) is proposed in this paper. It is designed so as to provide a scale to measure oiliness of facial skin through an image of a standard resolution. The proposed approach is based on the principle that the intensity of light from an oily skin is comparatively higher than that from a dry skin. Images of test subjects are taken at the same time and using the approach of weighted mean of the intensity of light reflected from the marked forehead region a scale of oiliness is developed. The scale is used to measure the relative value of oiliness.

<i>Corn Seeding Monitoring System Based on Image Processing</i>

2018 ◽  
Author(s):  
Baosheng Li ◽  
Xingxing Liu ◽  
Tong Zhang ◽  
Fang Tian ◽  
Yu Tan ◽  
...  
Keyword(s):  
Image Processing ◽  
Monitoring System

scholarly journals An Image-Processing Method for Extracting Kinematic Characteristics of Droplets during Pulsed GMAW

2019 ◽  
Vol 9 (24) ◽  
pp. 5481 ◽  
Author(s):  
Peizhuo Zhai ◽  
Songbai Xue ◽  
Tao Chen ◽  
Jianhao Wang ◽  
Yu Tao
Keyword(s):  
Image Processing ◽  
Monitoring System ◽  
High Speed ◽  
Gas Metal Arc Welding ◽  
Processing Algorithm ◽  
Automatic Welding ◽  
Threshold Method ◽  
Image Processing Algorithm ◽  
Kinematic Characteristics ◽  
Metal Arc Welding

Pulsed gas metal arc welding (GMAW) is widely applied in industrial manufacturing. The use of pulsed GMAW was found superior to the traditional direct-current (DC) welding method with respect to spatter, welding performance, and adaptability of all-position welding. These features are closely related to the special pulsed projected metal transfer process. In this paper, a monitoring system based on a high-speed camera and laser backlight is proposed. High-quality images with clear droplets and a translucent arc can be obtained at the same time. Furthermore, a novel image-processing algorithm is proposed in this paper, which was successfully applied to remove the interference of the arc. As a result, the edge and region of droplets were precisely extracted, which is not possible using only the threshold method. Based on the algorithm, centroid coordinates of undetached and detached droplets can be calculated, and more parameters of the kinematic characteristics of droplets can be derived, such as velocity, acceleration, external force, and momentum. The proposed monitoring system and image-processing algorithm give a simple and feasible way to investigate kinematic characteristics, which can provide a new method for possible applications in studying mathematic descriptions of droplet flight trajectory and developing a precise automatic welding system.

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