we can find any type of defects using this technique

1. FINDING WELDING AND CASTING
DEFECTS USING
IMAGE PROCESSING
Guided by
K.Satya Narayana(Prof)

2. ABSTRACT
Digital image processing is one of the most
basic prominent tool using image processing
and computer vision. surface quality should be
regularly tested before using them in
industries. Traditional are not suitable because
of productivity and time taking.
This processing is done in matlab software.

3. ABOUT DEFECTS:
• Large surface defects like crack, cavities, porosity,
misruns, incomplete fusion, fins etc .
• Smaller defects include pits, bumps, holes,
scratches
• These defects can be find out using image
processing technique

4. PROCESS:

5. Techniques used for image processing:
• A number of techniques have been developed for
analysing the image data in vision system.
Segmentation
• It is intended to define and separate regions of
interest with in an image.
Thresholding
• It is conversion of each pixel intensity value into
binary value representing it either white or black.
Edge detection
• It is concerned with determining the locations of
boundaries between an object and its surrounding
in an image

6. Feature extraction
• This method is designed to determine the features
based on area and boundaries.
OBJECT RECOGNITION
TEMPLATE
MATCHING
FEATURE
WEIGHING

7. CONCLUSION
To determine surface defects, length,
thickness, diameters using one of the non
destructive testing method called image
processing is very effective which give accurate
results and in less time.

8. References
[1] S.K. Sethi,B.Ravi, B.K.Mohan “Automated Visual Inspection of Cracks in Cast and
Welded Components” Technical Paper submitted to Transactions of the AFS Oct
1996
[2] JIJINA K P,SREEJA S S,VINOD P R “ Real Time Detection And Classification of
Metal” Technical Paper submitted to IRJCSEA
[3]Zhang Yichi, Wu Lv, Liu Xuedong “ Defects Detection Of Cold-roll Steel Surface
Based on Slab Surface” 2011 11th International Conference on Control,automation
and Systems Oct.26-29,2011 in KINTEX,Gyeonggido,Korea

9. THANKYOU
TEAM MEMBERS
B.Naga Mohan
A. Vamsi Krishna
C. Sai Lakshman
C. Tapaswini