
Defect Detection using Active Contour Method
Author(s) -
V. Krishna Chaitanya*,
N Manikanta,
S. Mukesh Kumar,
Minakshi Kumar,
Betam Suresh,
Dr.V.S. Ghali
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d4509.118419
Subject(s) - thermography , active contour model , artifact (error) , nondestructive testing , contour line , computer science , artificial intelligence , segmentation , computer vision , acoustics , pattern recognition (psychology) , geology , materials science , infrared , image segmentation , remote sensing , optics , physics , quantum mechanics , meteorology
This paper reports on the non-destructive (NDT) method to inspect industrial equipment's quality and anomalies by using infrared thermography techniques to identify defects in an artifact such as water, oil or other fluid materials and any disruption or sub-surface fractures by using different types of procedure to recognize defects. Here we discuss various types of thermography techniques, quadratic frequency modulated thermal wave post-processing and region-based active contour image segmentation technique