Open AccessQuantitative Identification Cracks of Heritage Rock Based on Digital Image Technology
Author(s) -
Xiufang Wang,
Jinyuan Li,
M. Bai,
Yan Pei
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2148/1/012048
Subject(s) - preprocessor , identification (biology) , geology , image (mathematics) , digital image , filter (signal processing) , fracture (geology) , computer science , noise (video) , mining engineering , cultural heritage , artificial intelligence , image processing , computer vision , geotechnical engineering , archaeology , geography , botany , biology
Digital image processing technologies are used to extract and evaluate the cracks of heritage rock in this paper. Firstly, the image needs to go through a series of image preprocessing operations such as graying, enhancement, filtering and binaryzation to filter out a large part of the noise. Then, in order to achieve the requirements of accurately extracting the crack area, the image is again divided into the crack area and morphological filtering. After evaluation, the obtained fracture area can provide data support for the restoration and protection of heritage rock. In this paper, the cracks of heritage rock are extracted in three different locations.The results show that the three groups of rock fractures have different effects on the rocks, but they all need to be repaired to maintain the appearance of the heritage rock.