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Implementation of Morphological Operation through Intercept Based Euclidean Distance Algorithm
S. Jayachitra1, M. Karthihadevi2, G. Mariammal3, T. Pushparaj4

1S. Jayachitra*, Assistant Professor, ECE Department, Karpagam Academy of Higher Education, Coimbatore, India.
2M. Karthihadevi, Assistant Professor, PSNA College of Engineering and Technology, Dindigul, India
3G. Mariammal, Assistant Professor, PSNA College of Engineering and Technology, Dindigul, India
4T.Pushparaj, Assistant Professor, PSNA College of Engineering and Technology, Dindigul, India
Manuscript received on January 18, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 2472-2475 | Volume-9 Issue-4, February 2020. | Retrieval Number: C9051019320/2020©BEIESP | DOI: 10.35940/ijitee.C9051.029420
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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: Skeletonization is the process of extracting the region-based shape features that represents a common form of original object. It can be employed to binary images thatproduces alternative binary image as the resulting output. The main goal of thinning is to degrade particular foreground pixels from original input image. A pruning focused on removing short spurs present in an image. By Employing morphological operation for the process of extracting skeleton can be used in wide range of application. In this paper, we proposed a model which is a robust intercept based Euclidean distance (IBED) algorithm to perform morphological operation to extract the surface of the skeleton from the computed Tomography image. In this edge points of the skeleton have been analyzed over set extraction, hence the characterization has been improved by presenting a novel skeleton with edge points. The index value, edge points, Euclidean distance and fracture length have been calculated. The proposed technique is employed to four men and two women with different fractures in CT scanned image. 
Keywords: Skeletonization, Morphological Operation, Thinning, Pruning, IBED
Scope of the Article: Network Operations & Management