International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 2, No. 2, 8 Dec. 2010
Cover page and Table of Contents: PDF (size: 1067KB)
Extraction and Analysis of Mural Diseases Information Based on Digital Orthophoto Map
Full Text (PDF, 1067KB), PP.53-59
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Author(s)
Miao-le Hou
1,*
Song Tian
1
Index Terms
Mural Collections, Clustering, Edge Detection, Decision Tree
Abstract
Currently, edge detection is an effective means of collecting and analyzing various diseases information from mural collections by using this and data mining based on digital orthophoto map (DOM). But it is hard to extract better edges of mural diseases with traditional edge detection algorithms. Therefore, a new K-means Sobel algorithm is proposed and two evaluation factors are given to judge the extracting effect. Experiment results demonstrate that we can get a better effect by using new method than traditional algorithms. At last, vectorizing detected results, we can gain diseases areas. On that basis, a decision tree about mural diseases severities is established to provide useful information for mural diseases investigation and repair.
Cite This Paper
Miao-le Hou,Song Tian, "Extraction and Analysis of Mural Diseases Information Based on Digital Orthophoto Map", IJIGSP, vol.2, no.2, pp.53-59, 2010. DOI: 10.5815/ijigsp.2010.02.08
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