ρ-MtreeRing: A Graphical User Interface for X-ray Microdensity Analysis

García‐Hidalgo, Miguel; García‐Pedrero, Ángel; Caetano-Sánchez, Cristina; Gómez-España, Marcos; Lillo‐Saavedra, Mario; Olano, José Miguel

doi:10.3390/f12101405

Cited by 4 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relationship between the motor speed n and the rotational angular velocity ω is shown in Equation (11):…”

Section: Principle Of Digital Micro-drilling Resistance Methodsmentioning

confidence: 99%

“…In the traditional tree ring detection method of tree disc sampling, the STD4800 scanner is introduced to obtain high-definition tree disk images [10]. Then digital image recognition is carried out through a special tree ring analysis system such as WinDendro [11][12][13][14]. It also can use the LINTAB CNC measuring platform and TSAP standard annual ring analysis software to observe the tree disk by the high-resolution microscope [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Research on Tree Ring Micro-Destructive Detection Technology Based on Digital Micro-Drilling Resistance Method

Zheng²,

Xing³

et al. 2022

Forests

View full text Add to dashboard Cite

Micro-drilling resistance method is a widely used tree ring micro-destructive detection technology. To solve the problem that the detection signal of the analog micro-drilling resistance method has excessive noise interference and cannot intuitively identify tree ring information, this research proposes a digital micro-drilling resistance method and provides a recommended hardware implementation. The digital micro-drilling resistance method adopts the photoelectric encoder instead of ADC as the signal sampling module. Through the theoretical analysis of the DC motor characteristic, the PWM closed-loop speed control, the detection principle of the digital method is given. Additionally, the experimental equipment that can complete the detection of the digital method and the analog method simultaneously is designed to carry out comparative experiments. The experimental results show that: (1) The detection results of the digital method have a better-quality signal which can intuitively identify the tree rings. (2) The average correlation coefficient reaches 0.9365 between the detection results of the digital method and the analog method. (3) The average Signal-to-Noise Ratio (SNR) of the digital method is 39.0145 dB, which is 19.2590 dB higher than that of the analog method. The average noise interference energy in the detection result of the digital method is only 1.27% of the analog method. In summary, hardware implementation of the digital micro-drilling resistance method can correctly reflect the tree ring information and significantly improve the signal quality of the micro-drilling resistance technology. This research is helping to improve the identification accuracy of micro-drilling resistance technology, and to develop the application of tree ring micro-destructive detection technology in the high-precision field.

show abstract

“…The relationship between the motor speed n and the rotational angular velocity ω is shown in Equation (11):…”

Section: Principle Of Digital Micro-drilling Resistance Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Tree Ring Micro-Destructive Detection Technology Based on Digital Micro-Drilling Resistance Method

Zheng²,

Xing³

et al. 2022

Forests

View full text Add to dashboard Cite

show abstract

“…However, the first published approach for core digitization was ATRICS (Levanič, 2007) Free open-source software and hardware have emerged as innovative systems to make research with precise and accurate open tools more accessible (Gibney, 2016). Accordingly, open-source packages for different dendrochronology tasks have been published (Campelo et al, 2012;García-Hidalgo et al, 2021;Rademacher et al, 2021). However, there is currently a lack both in proprietary and open specific software focused on image acquisition process.…”

Section: Introductionmentioning

confidence: 99%

CaptuRING: A do‐it‐yourself tool for wood sample digitization

et al. 2022

Self Cite

View full text Add to dashboard Cite

1. Standard procedures to obtain high-quality images of wood samples have become a bottleneck in the digitization of dendrochronology. Digitization is currently dominated by flatbed scanners, but the use of these devices is limited by sample length and surface flatness. Although several solutions based on digital photography have been published, they lack effective digitization processes or are too expensive to be widely adopted. 2. Free open-source software and hardware has emerged as an alternative to create research tools that combine reduced costs with high reliability. Here we present CaptuRING, an open-source tool for wood sample digitization combining a do-it-yourself hardware based on Arduino® with a DSLR camera and a free open-source software with an easy-to-use graphical user interface. 3. We compared CaptuRing with image acquisition from a standard flatbed scanner Epson® V750PRO. CaptuRING outperforms scanner image resolution and sharpness, while it removes sample size limitations. Moreover, CaptuRing performs this task in less than half of the time needed by Epson® V750PRO flatbed scanner. 4. CaptuRING emerges as a reliable and low-cost tool to capture high-resolution images of wood samples boosting current digitization processes. The combination of free open software and hardware empowers dendrochronology to advance in wood sample digitization.

show abstract

“…Screen caption from ρ-MtreeRing (García-Hidalgo et al, 2021) advent of open source philosophy has created a programmer community devoted to customize solutions freely available for every researcher (Technician Scientific Community Image Forum: https://image.sc) (National Academies of Sciences et al, 2018). Notwithstanding, these community-built solutions must enforce accuracy and repeatability to ensure their reliability for scientific research (Burgelman et al, 2019;National Academies of Sciences et al, 2019).…”

Section: Wood Densitymentioning

confidence: 99%

“…The third chapter, ρ-MtreeRing: A graphical user interface for X-ray microdensity analysis, is devoted to present a free open source tool for densitometry data acquisition and analysis from dendrochronological samples (García-Hidalgo et al, 2021).…”

Section: Image Segmentationmentioning

confidence: 99%

Open tools for dendrochronology. Advances in sample digitization and deep learning methods for image segmentation

Hidalgo¹

View full text Add to dashboard Cite

show abstract

ρ-MtreeRing: A Graphical User Interface for X-ray Microdensity Analysis

Cited by 4 publications

References 25 publications

Research on Tree Ring Micro-Destructive Detection Technology Based on Digital Micro-Drilling Resistance Method

Research on Tree Ring Micro-Destructive Detection Technology Based on Digital Micro-Drilling Resistance Method

CaptuRING: A do‐it‐yourself tool for wood sample digitization

Open tools for dendrochronology. Advances in sample digitization and deep learning methods for image segmentation

Contact Info

Product

Resources

About