Research on TV imaging casing damage detection and classification method based on C4.5 decision tree

Autor:	Jiaxin Han, Ying Cuan, Zeshang Wang
Rok vydání:	2020
Předmět:	History Damage detection Computer science business.industry Decision tree learning Decision tree Pattern recognition Computer Science Applications Education Image (mathematics) Continuous data Imaging technology Classification methods Artificial intelligence business Casing
Zdroj:	Journal of Physics: Conference Series. 1437:012132
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1437/1/012132
Popis:	The casing damage is one of the important problems in oilfield development. The television imaging technology can get enough images of the inner wall of casing to detect the casing, but the efficiency of manually identifying the images is very low. Through the mapping relationship between image and casing damage type, the image features can be obtained. Then, the continuous data threshold selection of C4.5 decision tree algorithm is improved. Finally, the improved C4.5 decision tree algorithm is used to classify casing damage types. Experimental results show that the detection and classification method proposed in this paper can be well implemented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4c7e59e9a2cee31b947da25bb8283efe https://doi.org/10.1088/1742-6596/1437/1/012132 Zobrazit plný text záznamu