A system for form-feature-based interpretation of technical drawings

Bottoni, Paolo; Cugini, Umberto; Mussio, Piero; Papetti, C.; Protti, M.

doi:10.1007/s001380050013

Cited by 9 publications

(5 citation statements)

References 20 publications

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“…This proposal analysed the structure of the mechanical drawing according to line thickness degrees and distance proportions provided by the standard in order to regenerate the drawing using a CAD software. Similar proposals for CAD-related data representations in non-diagram EDs are RENDER by Nagasamy et al [90] and TECNOS by Bottoni et al [14].…”

Section: Examples Of Contextualisation In Literaturementioning

confidence: 79%

New trends on digitisation of complex engineering drawings

Moreno‐García

Elyan

Jayne

2018

Neural Comput & Applic

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Engineering drawings are commonly used across different industries such as oil and gas, mechanical engineering and others. Digitising these drawings is becoming increasingly important. This is mainly due to the legacy of drawings and documents that may provide rich source of information for industries. Analysing these drawings often requires applying a set of digital image processing methods to detect and classify symbols and other components. Despite the recent significant advances in image processing, and in particular in deep neural networks, automatic analysis and processing of these engineering drawings is still far from being complete. This paper presents a general framework for complex engineering drawing digitisation. A thorough and critical review of relevant literature, methods and algorithms in machine learning and machine vision is presented. Real-life industrial scenario on how to contextualise the digitised information from specific type of these drawings, namely piping and instrumentation diagrams, is discussed in details. A discussion of how new trends on machine vision such as deep learning could be applied to this domain is presented with conclusions and suggestions for future research directions.

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Section: Examples Of Contextualisation In Literaturementioning

confidence: 79%

New trends on digitisation of complex engineering drawings

Moreno‐García

Elyan

Jayne

2018

Neural Comput & Applic

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“…It should be noted that this system also includes a higherlevel frame-based knowledge representation. Bottoni et al interpret a drawing in terms of form-features, using a set of rewriting rules to represent the decomposition rules for these form-features [5]. We will come back to our own experiments inw 3.…”

Section: Structural and Syntactic Methods In Document And Graphics Anmentioning

confidence: 98%

Structural and syntactic methods in line drawing analysis: To which extent do they work?

Tombre

1996

Advances in Structural and Syntactical Pattern Recognition

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“…Admittedly, this is a hard problem, especially if we want not only to show the feasibility on a very limited scope of drawings, as we did in the CELESSTIN system [23], but also to design a working system for real-life applications. Despite some scientific successes, such as the TECNOS system [2], which uses conditional attributed rewriting systems to recognize a set of assembly and manufacturing form features, or the recent results published by Langrana et al [13], this must still be considered as a real challenge (cf. 4).…”

Section: Representation Of Engineering Knowledgementioning

confidence: 99%

Analysis of engineering drawings: State of the art and challenges

Tombre

1998

Graphics Recognition Algorithms and Systems

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In this paper, we analyze the state of the art in interpretation of engineering drawings, both from a methodological point of view and from the perspective of the applications. We try to emphasize where techniques are mature, where they need further maturing, and where we still have open challenges. Special attention is given to the progress in the last two years, i.e. to the evolution in the field since GREC'95.

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A system for form-feature-based interpretation of technical drawings

Cited by 9 publications

References 20 publications

New trends on digitisation of complex engineering drawings

New trends on digitisation of complex engineering drawings

Structural and syntactic methods in line drawing analysis: To which extent do they work?

Analysis of engineering drawings: State of the art and challenges

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