RETRACTED ARTICLE: Non invasive detection of moss and crack in monuments using image processing techniques

Abstract

In the World’s Cultural Heritage, stone monuments are a valuable treasure. The alarming increase of weathering damage on an ancient monument is leading to complete or partial destruction of heritage structures in the world. Early detection of such decaying is essential to preserve the monuments. A non-destructive technique is used for the analysis of monument decay. Digital image processing is one of the powerful methods of non-destructive techniques. This paper presents non-invasive detection of moss and crack in monuments using Integrated K-means clustering and Canny edge detection. Moss is detected using integrated clustering and compared with K-means image segmentation. In this study, mean square error and power signal to noise ratio are the two parameter metrics of moss detection. PSNR and MSE of proposed method is about 15.42 and 1882 improves than LBP-Mean with other methods. The crack is detected using integrated canny edge detection and the crack properties such as perimeter, orientation, and minor and major axis length are measured. Area of moss and cracks are determined. The proposed results improve the performance of detection than the existing method.