Detection of Roof Holes and Wall Crack using Shape-Based Method

International Journal of Computer Science and Engineering

© 2018 by SSRG - IJCSE Journal

Volume 5 Issue 5

Year of Publication : 2018

Authors : M.Rajeshwari, K.Rathika

10.14445/23488387/IJCSE-V5I5P102

How to Cite?

M.Rajeshwari, K.Rathika, "Detection of Roof Holes and Wall Crack using Shape-Based Method," SSRG International Journal of Computer Science and Engineering , vol. 5,  no. 5, pp. 6-10, 2018. Crossref, https://doi.org/10.14445/23488387/IJCSE-V5I5P102

Abstract:

Image processing is a method to perform some operations on an image in order to extract some useful information. The shape-based method will extract the curve signature from every image and then find the similarities between the images. In this Paper, the analysis was based on two different ways Such as detection of roof holes and wall crack. The roof holes are detected in three steps : an input image is pre-processed using RGB to gray color conversion and standard noise removal method, Shape Feature is find based on SIFT Algorithm and finally K-means algorithm is used to clustering the roof holes. Similarly the Wall Crack is detected in two steps: Image is pre-processed using color conversion and suitable edge detection methods and Morphology operations are applied to detect the wall crack. Finally, the range of the wall crack is estimated. Majority of crack occur when the components are the material of which the building is made up of it subjected to forces which are greater than those which it can withstand. Crack may also occur if the material used in the building is of poor quality and the construction is not carried out in accordance with some ideas.

Keywords:

Roof Holes, SIFT, K-Means, Wall Crack, Edge Detection, Morphology.

References:

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