Transverse shape analysis of xylem ground tissues by Fourier transform image analysis II: cell wall directions and reconstruction of cell shapes

2005 ◽  
Vol 51 (3) ◽  
pp. 209-217 ◽  
Author(s):  
Yoko Midorikawa ◽  
Minoru Fujita
Keyword(s):  
Cell Wall ◽  
Image Analysis ◽  
Fourier Transform ◽  
Shape Analysis ◽  
Cell Shapes

scholarly journals Study on Improving the Fixation Rate of Impregnated Poplar Wood with Maltodextrin and 1,3-Dimethylol-4,5-Dihydroxyethyleneurea

2019 ◽  
Vol 9 (16) ◽  
pp. 3237
Author(s):  
Mingzhen Cai ◽  
Zongying Fu ◽  
Yingchun Cai ◽  
Yue Zhang
Keyword(s):  
Compressive Strength ◽  
Cell Wall ◽  
Fourier Transform ◽  
Cell Walls ◽  
Poplar Wood ◽  
Fixation Rate ◽  
Practical Applications ◽  
Wall Materials ◽  
Impregnated Wood ◽  
Cell Wall Materials

The impregnation of poplar wood (Populus adenopoda Maxim) with 1,3-dimethylol-4,5-dihydroxyethyleneurea and maltodextrin and the effects of ZnCl2 and curing at 103 °C and 120 °C on the fixation rate and the leaching resistance of modified samples were investigated (103 °C curing, ZnCl2 + 103 °C curing, 120 °C curing, and ZnCl2 + 120 °C curing are denoted as 103, ZC-103, 120, and ZC-120, respectively), with the aim of improving the modification effect. The results showed that ZC-103 had the highest fixation rate, and its weight leaching ratio was higher than that of 120. Fourier-transform infrared spectroscopy showed that ZnCl2 did not affect the functional groups of the modified chemicals. The flexural strength and modulus and the compressive strength perpendicular to the grain were highest for ZC-103. In summary, ZC-103 exhibited the highest fixation rate, indicating that the hardener ZnCl2 bridged and increased the interfacial properties between the chemicals and cell walls and therefore increased the potential for macromolecule polycondensation between the chemicals and cell wall materials. This research paves the way for improving the fixation rate of impregnated wood and provides new insights into practical applications.

scholarly journals Image analysis of the tree test using wavelet transform, singular value decomposition, and Fourier transform

2019 ◽  
Vol 90 (3) ◽  
pp. 284-293
Author(s):  
Keita Kawasugi ◽  
Kazuhisa Takemura ◽  
Yumi Iwamitsu ◽  
Hitomi Sugawara ◽  
Sakura Nishizawa ◽  
...  
Keyword(s):  
Image Analysis ◽  
Fourier Transform ◽  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Value Decomposition

scholarly journals Image Analysis: Is the Fourier Transform Becoming Obsolete?

1997 ◽  
Vol 8 (1) ◽  
pp. 59-75 ◽  
Author(s):  
Noël Bonnet ◽  
Philippe Vautrot
Keyword(s):  
Image Analysis ◽  
Fourier Transform ◽  
The Fourier Transform

scholarly journals DECIPHERING THE FINEST IMPRINT OF GLACIAL EROSION: OBJECTIVE ANALYSIS OF STRIAE PATTERNS ON BEDROCK

2011 ◽  
Vol 23 (3) ◽  
pp. 135 ◽  
Author(s):  
Piet Stroeven ◽  
Arjen Peter Stroeven ◽  
Jing Hu ◽  
Jean-Louis Chermant ◽  
Michel Coster
Keyword(s):  
Experimental Data ◽  
Image Analysis ◽  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Orientation Distribution ◽  
Experimental Investigations ◽  
Automatic Image Analysis ◽  
Glacial Erosion ◽  
Analysis Techniques ◽  
Image Analysis Techniques

The aim of this study is to compare the efficiency of different mathematical and statistical geometrical methods applied to characterise the orientation distribution of striae on bedrock for deciphering the finest imprint of glacial erosion. The involved methods include automatic image analysis techniques of Fast Fourier Transform (FFT), and the experimental investigations by means of Saltikov's directed secants analysis (rose of intersection densities), applied to digital and analogue images of the striae pattern, respectively. In addition, the experimental data were compared with the modelling results made on the basis of Underwood's concept of linear systems in a plane. The experimental and modelling approaches in the framework of stereology yield consistent results. These results reveal that stereological methods allow a reliable and efficient delineation of different families of glacial striae from a complex record imprinted in bedrock.

scholarly journals Evaluation of Particle Orientation by the Fourier Transform Image Analysis.

1995 ◽  
Vol 44 (498) ◽  
pp. 267-272 ◽  
Author(s):  
Minoru FUJITA ◽  
Hiromu KAJITA ◽  
Tomoyuki MAEKAWA ◽  
Hiroshi SAIKI
Keyword(s):  
Image Analysis ◽  
Fourier Transform ◽  
Particle Orientation ◽  
The Fourier Transform

Band Shape Analysis of Fourier Transform Infrared Spectra

1982 ◽  
Vol 36 (4) ◽  
pp. 401-404 ◽  
Author(s):  
P. C. Gillette ◽  
J. B. Lando ◽  
J. L. Koenig
Keyword(s):  
Fourier Transform ◽  
Shape Analysis ◽  
Infrared Spectra ◽  
Goodness Of Fit ◽  
Nonlinear Least Squares ◽  
Fourier Transform Infrared ◽  
Quantitative Information ◽  
Band Shape ◽  
Fourier Transform Infrared Spectra ◽  
Overlapping Peaks

The application of a finite difference Levenberg-Marquardt nonlinear least-squares procedure for the resoluton of overlapping peaks in Fourier transform-infrared spectra is described. Starting estimates of peak parameters utilized in the refinement are obtained from a numerically approximated second derivative spectrum which has been smoothed. Quantitative information reflecting the constituent peaks and the “goodness of fit” is displayed graphically in a procedure requiring much less than 1 min to both initiate and obtain results in a form that is readily interpreted.

scholarly journals Recognition the Parameters of Slub-yarn Based on Image Analysis

2011 ◽  
Vol 6 (1) ◽  
pp. 155892501100600 ◽  
Author(s):  
Ruru Pan ◽  
Weidong Gao ◽  
Jihong Liu ◽  
Hongbo Wang
Keyword(s):  
Image Analysis ◽  
Fourier Transform ◽  
High Resolution ◽  
New Method ◽  
Slub Yarn

In this study, a new method for recognizing the parameters of slub-yarn based on image analysis has been proposed. The slub yarn was wrapped on the surface of the black board by YG381 Yarn Evenness Tester. A high resolution scanner was used to acquire the yarn image. Gray stretching and thresholding were carried out to preprocess the image of slub yarn. By separating the slubs from base yarn with different widths, the slub length, slub distance and slub amplitude can be obtained. With the lists of slub length and slub distance, the periodicity rule of slub yarn can be determined. The period of the slubs then will be identified by 1D-Fourier transform. The experiment indicated that the method can identify the parameters of slub yarn with satisfactory results.

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