Search Results - "Moon, Yoochan"

Extraction of line objects from piping and instrumentation diagrams using an improved continuous line detection algorithm by Moon, Yoochan, Han, Seung-Tae, Lee, Jinwon, Mun, Duhwan

“…Digitizing image-format piping and instrumentation diagrams (P&IDs) consists of a step for detecting the information objects that constitute P&IDs, which…”
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Deep Learning-Based Method to Recognize Line Objects and Flow Arrows from Image-Format Piping and Instrumentation Diagrams for Digitization by Moon, Yoochan, Lee, Jinwon, Mun, Duhwan, Lim, Seungeun

“…As part of research on technology for automatic conversion of image-format piping and instrumentation diagram (P&ID) into digital P&ID, the present study…”
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End-to-end digitization of image format piping and instrumentation diagrams at an industrially applicable level by Kim, Byung Chul, Kim, Hyungki, Moon, Yoochan, Lee, Gwang, Mun, Duhwan

“…Abstract This study proposes an end-to-end digitization method for converting piping and instrumentation diagrams (P&IDs) in the image format to digital P&IDs…”
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Deep-learning-based recognition of symbols and texts at an industrially applicable level from images of high-density piping and instrumentation diagrams by Kim, Hyungki, Lee, Wonyong, Kim, Mijoo, Moon, Yoochan, Lee, Taekyong, Cho, Mincheol, Mun, Duhwan

“…•This study proposes a method for deep learning-based symbol and text recognition.•P&ID symbol taxonomy is defined by referring to the ISO 10628-2 and PIP…”
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Rule-based continuous line classification using shape and positional relationships between objects in piping and instrumentation diagram by Han, Seung-Tae, Moon, Yoochan, Lee, Hyunsik, Mun, Duhwan

“…Recently, the digitization of piping and instrumentation diagrams (P&IDs) has become increasingly necessary in the plant industry. In previous studies on line…”
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