Defect Detection using Active Contour Method
V.Krishna Chaitanya1, N.Pranay Manikanta2, S.Mukesh Kumar3, M.Anil Kumar4, B.Suresh5, V.S.Ghali6
1V. Krishna Chaitanya, B. tech Student, ECE Department, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Andhra Pradesh, India.
2N. Pranay manikanta, pursuing his B. tech in electronic communication in college of engineering, K. L. E. F, Andhra Pradesh.
3S. Mukesh Kumar, pursuing his B. Tech in Electronics and communication in college of engineering, K. L. E. F, Andhra Pradesh.
4M. Anil Kumar: Currently he is working as an Asst. Professor and pursuing his Ph.D. at KLEF, Vaddeswaram.
5B.Suresh, Asst. Professor, ECE Department, KoneruLakshmaiah Educational Foundation, Vaddeswaram, Andhra Pradesh, India.
6Dr.V.S.Ghali, Professor in ECE, Collegeof Engineering, K.L. University, Vaddeswaram, and Andhra Pradesh, India.

Manuscript received on November 12, 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 10279-10282 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4509118419/2019©BEIESP | DOI: 10.35940/ijrte.D4509.118419

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Abstract: 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.
Keywords: Defects, Infrared Thermography, Edge Detection; Image Processing, Region-Based Segmentation, Non-Destructive Testing.
Scope of the Article: Image Processing and Pattern Recognition.