The development of CAD for the sawing of timber. 1st report The method of recognizing knots using the image processing technique.

Osaki, Hirokazu; Yoshio, Sako; Kikuchi, Susumu; Michihito, Suzuki

doi:10.1299/kikaic.53.1291

Trans.JSME(C)

1987

DOI: 10.1299/kikaic.53.1291

|View full text |Cite

The development of CAD for the sawing of timber. 1st report The method of recognizing knots using the image processing technique.

Hirokazu Osaki¹,

Sako Yoshio²,

Susumu Kikuchi³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2007

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Defect Detection of Lumber Including Knots Using Bending Deflection Curve

Nagai¹,

Murata²,

Nakamura³

2007

J. Soc. Mat. Sci., Japan

View full text Add to dashboard Cite

The commercial grading system for the strength of lumber is divided into visual grading and mechanical grading. Mechanical stress grading can estimate strength more precisely than visual grading, but the mechanical stress method cannot detect local defects such as knots that seriously affect mechanical strength. This study investigated methods of automatically detecting these knots at the time of measuring Young's modulus (E) with a grading machine. The results were as follows. (1) Edgeline of the lumber is extracted from a digital image. Bending deflection curve calculated from the displacement of the edgeline is measured using the digital image correlation technique. (2) Differential profile of the bending deflection curve around knots showed a characteristic peak and the profile pattern depended on the structure of knots, i.e. intergrown knot, encased knot and direction of spike knot. (3) The specimens, with a differential profile that showed a clear peak around knots, also ruptured at the knots. However, other specimens, with a differential profile that did not show a clear peak around knots, did not always rupture at the knot, although many of these specimens ruptured at the area without knots. Therefore, the method using a differential profile of bending deflection curve can distinguish two types of knots that would be evaluated as the same type by visual grading.

show abstract

Defect Detection of Lumber Including Knots Using Bending Deflection Curve

Nagai¹,

Murata²,

Nakamura³

2007

J. Soc. Mat. Sci., Japan

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

The development of CAD for the sawing of timber. 1st report The method of recognizing knots using the image processing technique.

Cited by 1 publication

References 0 publications

Defect Detection of Lumber Including Knots Using Bending Deflection Curve

Defect Detection of Lumber Including Knots Using Bending Deflection Curve

Contact Info

Product

Resources

About