An Automatic Method for Counting Annual Rings in Noisy Sawmill Images

Norell, Kristin

doi:10.1007/978-3-642-04146-4_34

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Measuring ARW using image analysis illustrates the amount of the latewood (LW) and earlywood (EW) that can be detected by the high-resolution images for high readability (Norell 2009). Capturing images by a digital camera is a fast method of illustration (Norell 2011), and, according to Maes et al (2017), image analysis programs enable users to detect the ring boundaries manually or automatically.…”

Section: Resultsmentioning

confidence: 99%

Effects of annual ring number and width on ultrasonic waves in some softwood species

Aydın

2022

BioRes

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The effect of annual ring number and width on the longitudinal (P) and transverse (S) ultrasonic wave velocities in the radial direction of black pine, Scots pine, Turkish red pine, and cedar softwoods was evaluated in this study. Annual rings were evaluated using high-resolution images captured with a Lumix camera. The 2.25 MHz P and 1 MHz S wave frequencies were propagated through the radial direction of small clear samples. An increase in ring number caused different changes in the P and S wave velocities. Only Scots pine and cedar presented continuous decreases in P and S wave velocities with the increase in annual rings. On the contrary, VR of Red pine slightly decreased and surpassed the initial value when the ring numbers increased from 5 to 10 and 15, respectively. Furthermore, the greatest decrease (4%) in the velocities was observed for VRL of Red pine. According to one-way ANOVA results, significant relations were only observed for VR vs. ring number of Black pine and cedar. R2 values ranged from 0.0001 (Red pine VR) to 0.18 (Cedar VR) for ring number and 0.0002 (Cedar VR) to 0.44 (Scots pine VR) for ring width. Furthermore, ANOVA results for linear regression analysis showed that VR of Scots pine and VR, VRL, VRT of Red pine can be statistically significantly predicted by the ring widths.

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Section: Resultsmentioning

confidence: 99%

Effects of annual ring number and width on ultrasonic waves in some softwood species

Aydın

2022

BioRes

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“…There were some experimental setups of computer-based analyses of timber end faces [23,27]. These studies show the requirements and challenges, which a functional system must fit.…”

Section: Optical Measurement Of Trees and Tree Stemsmentioning

confidence: 99%

The perspective of optical measurement methods in forestry

Lummitsch

Findeisen

Haas

et al. 2019

Photonics and Education in Measurement Science 2019

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Forestry in Germany and all over the world is undergoing a big change based on the digitalization. A combination of recent advances in measurement technology offers strong possibilities to use optical measurement systems as an addition to the conventional forestry machinery. Cameras, lasers, and sensors extend the accuracy of how we collect bio data, e.g. diameters, distances, heights, the total amount of wood volume, timber etc. Detailed data of the plant structure as well as calamities are the basis to get a better overview and improve the downstream process chain. Forestry is an economical field working with natural products, especially wood. Therefore, foresters need to determine the exact amount of the regrowing products. The certification systems like PEFC (Program for the Endorsement of Forest Certification Schemes) and FSC (Forest Stewardship Council) rely on precise data of wood volume, which has been harvested. Hence, nature product producer need more techniques and optical measurement systems, which are adapted to this very rough field of application. The cameras will be exposed to rain, fog, heat, cold, ice, mud, earth, dirt, stones, vibrations, and more effects in the outdoor use. This paper examines some of the recent projects and joint-ventures between forestry and photo-optical measurements and describes how they can be used to bridge the gap between two disciplines, addressing areas of both sides. We need to exchange our knowledge to find new ways of applying optical systems in Forestry.

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“…In case of digital images of log ends there exist just a few publications which deal with cross-section (CS) analysis. The works of [1], [2], [3], [4], [5] present approaches for pith estimation and in [2], [6], [7], [8] annual ring analysis approaches are proposed. Present CS analysis literature focuses on computed tomography (CT) cross-section images.…”

Section: Introductionmentioning

confidence: 99%