Vision-based precision inspection system for profile and performance of small and micro gears using the intelligent image processing techniques and virtual master gears

2000 ◽  
Author(s):  
Heui Jae Pahk ◽  
Young Min Hwang ◽  
Il Hwan Lee ◽  
Woo Jung Ahn
Keyword(s):  
Image Processing ◽  
Inspection System ◽  
Image Processing Techniques ◽  
Precision Inspection ◽  
And Performance ◽  
Processing Techniques ◽  
Intelligent Image Processing

scholarly journals Smart Dye Inspection System in Textile Industry

2020 ◽  
Vol 8 (6) ◽  
pp. 5061-5063
Keyword(s):  
Image Processing ◽  
Reference Material ◽  
Textile Industry ◽  
High Accuracy ◽  
Inspection System ◽  
Manual Operation ◽  
Image Processing Techniques ◽  
Manual Inspection ◽  
Processing Techniques

Inspection on the dyed material in the textile industry is facing a challenging task owing to the accurate measurement of the dye concentration added. Currently manual inspection is done. It consumes more time and less accurate. The proposed work provides a solution to above problem. The image of reference material (cloth) is captured and the features are extracted using image processing techniques. The color concentration of both the reference material and the test fabric is compared. If the dye concentration of the test fabric matches with the reference material, then it is a perfect dyed cloth whereas for mismatched samples, the concentration is to be adjusted is displayed. This smart dyeing inspection system reduces the manual operation and saves time and results in high accuracy.

Autonomous mobile lock-in thermography system for detecting and quantifying voids in liquefied natural gas cargo tank second barrier

2016 ◽  
Vol 16 (3) ◽  
pp. 276-290 ◽  
Author(s):  
Sangmin Lee ◽  
Hyung Jin Lim ◽  
Hoon Sohn ◽  
Wonjun Yun ◽  
Eunha Song
Keyword(s):  
Image Processing ◽  
Natural Gas ◽  
Liquefied Natural Gas ◽  
Measurement Unit ◽  
Inspection System ◽  
Void Size ◽  
Thermal Images ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Lock In

In this study, an autonomous mobile inspection system that can detect and quantify hidden voids in a secondary barrier (triplex layer) of a liquefied natural gas cargo tank is developed using lock-in thermography. The triplex layer is the secondary barrier to prevent gas leaks from a Mark III–type membrane liquefied natural gas carrier cargo tank and consists of three sub-layers: a flexible secondary barrier, a bonding layer, and a rigid secondary barrier. The proposed mobile inspection system consists of a lock-in thermography measurement unit, a mobile inspection unit, and image processing algorithms. First, thermal images are obtained using the lock-in thermography unit as the mobile inspection system maneuvers over triplex layers. Second, the raw thermal images are processed by several image processing techniques to compensate for non-uniform heating, eliminate noise components, and disregard trivial voids in accordance with the current inspection guideline. Third, the void size is more precisely quantified using an empirical mapping function that relates the void size estimated in the previous step to that measured by an independent X-ray test. The contributions of this study include the following: (1) an autonomous mobile inspection system is developed for real-time inspection of the triplex during its installation, significantly saving the inspection cost and time; (2) a suite of image processing techniques is developed, overcoming shortcomings of the existing thermography non-destructive testing techniques; and (3) the sizes as well as the locations of the hidden voids are quantified with high accuracy, reliability, and fast inspection speed.

scholarly journals A Study on Image Segmentation Method for Image Processing

2021 ◽  
Author(s):  
S. Prabu ◽  
J.M. Gnanasekar
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Surveillance System ◽  
Vital Role ◽  
Important Process ◽  
Image Processing Techniques ◽  
Segmentation Methods ◽  
And Performance ◽  
Segmentation Image ◽  
Processing Techniques

Image processing techniques are essential part of the current computer technologies and that it plays vital role in various applications like medical field, object detection, video surveillance system, computer vision etc. The important process of Image processing is Image Segmentation. Image Segmentation is the process of splitting the images into various tiny parts called segments. Image processing makes to simplify the image representation in order to analyze the images. So many algorithms are developed for segmenting images, based on the certain feature of the pixel. In this paper different algorithms of segmentation can be reviewed, analyzed and finally list out the comparison for all the algorithms. This comparison study is useful for increasing accuracy and performance of segmentation methods in various image processing domains.

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