Segmentation of Thermogram Based on Region Based Technique using Split and Merge Method
V. Phani Bhushan1, K.S. Sagar Reddy2, K. Murali3
1V. Phani Bhushan, Research Scholar, Shri Venkateshwara University, Gajraula, U.P., India.
2Dr. K.S. Sagar Reddy, Research Supervisor, Shri Venkateshwara University, Gajraula, U.P., India.
3Dr. K. Murali, Assoc. Professor, Dept. of E.C.E, NEC, A.P., India.
Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 9574-9578 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9968118419/2019©BEIESP | DOI: 10.35940/ijrte.D9968.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The main aim of segmentation is to identify the Region of Interest for image analysis. The segregation of an image into meaningful structures is often an important phase in image analysis, object representation, visualization and also in various other image processing tasks. Image segmentation is mostly useful in applications like detection where it is difficult to process whole image at a time. In this paper Region based image segmentation is used to identify the delaminations in Thermographic image of Infrared Non-Destructive Testing. There are two basic techniques in Region based segmentation viz. Region growing method, splitting and merging method. New method based Split and Merge segmentation technique is employed to identify the defective regions in thermogram. Results obtained after segmentation as compared with state of art segmentation methods.
Keywords: Non Destructive Testing & Evaluation, Pulse Compression, Segmentation, Split and Merge Technique.
Scope of the Article: Routing, Switching and Addressing Techniques.