International Journal of Recent Trends in Engineering & Research

online ISSN

Edge Detection of Weld Images

Publication Date : 01/11/2017

DOI : 10.23883/IJRTER.2017.3474.9QS93


Author(s) :

Saurabh Singh , Arshi khan , Rohit Tiwari , Akash Soni.


Volume/Issue :
Volume 3
,
Issue 10
(11 - 2017)



Abstract :

This project purposes the study of image processing to obtain as much information possible from the image. This information is useful in biomedical, military and mechanical applications. In mechanical applications, weld images are the images of two metal pieces fused together having flaws and detecting these meaningful discontinuities in grey level of weld images that is the faults in the weld images is important considering industrial fields. In classical methods of analyzing the images, human experts make the quality control of welded joints by identifying defect characteristics in NDT images and the results depend on quality of images, previous experiences of human experts and their mental fitness. The classical process is slow and results are varying from expert to expert and even the same person can give different results for the same image depending on his mental state. Thus we have proposed this project which will edge detect and enhance the faults which can be easily seen. KEYWORDS: Image processing, gray scale,NDT


No. of Downloads :

12


Indexing

License

Traffic Stats

Total Visits : 6,138