Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/316736
Title: | Weld flaw detection using em segmentation and tetrolet transform |
Researcher: | V Kalaiselvi |
Guide(s): | Aravindhar, John |
Keywords: | Computer Science Computer Science Information Systems EM Algorithm Engineering and Technology Gaussian Filter Image segmentation Non destructive testing SVM Weld defects |
University: | Hindustan University |
Completed Date: | 2020 |
Abstract: | file attached |
Pagination: | 219 p. |
URI: | http://hdl.handle.net/10603/316736 |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 331.76 kB | Adobe PDF | View/Open |
02_certificate.pdf | 331.7 kB | Adobe PDF | View/Open | |
03_declaration.pdf | 332.03 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 214.77 kB | Adobe PDF | View/Open | |
05_abstract.pdf | 215.17 kB | Adobe PDF | View/Open | |
06_content.pdf | 423.18 kB | Adobe PDF | View/Open | |
07_chapter 1.pdf | 604.17 kB | Adobe PDF | View/Open | |
08_chapter 2.pdf | 961.61 kB | Adobe PDF | View/Open | |
09_chapter 3.pdf | 1.14 MB | Adobe PDF | View/Open | |
10_chapter 4.pdf | 4.1 MB | Adobe PDF | View/Open | |
11_chapter 5.pdf | 403.77 kB | Adobe PDF | View/Open | |
12_references.pdf | 612.85 kB | Adobe PDF | View/Open | |
13_annexure.pdf | 914.67 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 460.15 kB | Adobe PDF | View/Open |
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