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Binarized image

FIGURE 21.21 The binarized image of Young s modulus distribution in Figure 21.15c. The threshold value was 100 MPa. [Pg.603]

Figure 1. Transmission electron micrograph of EDAS/E-1 (a) and EDAS/E-3 (b) samples.The line corresponds to a 50 nm length. Corresponding binarized images (c) and (d). Illustration of the distance function. Images (e) and (f) show the successive erosions of the binarized images [4]. Figure 1. Transmission electron micrograph of EDAS/E-1 (a) and EDAS/E-3 (b) samples.The line corresponds to a 50 nm length. Corresponding binarized images (c) and (d). Illustration of the distance function. Images (e) and (f) show the successive erosions of the binarized images [4].
Figure le-h represents the final binarized images, which have been evaluated. For PE and PLA foams, transverse SEM sections (Figures le and f, respectively), the distribution of the equivalent circular diameter of the ultramacropores, = V4A/n, where A = Number of pixels for each pore multiplied by a calibration constant, has been taken. Taking into account the complex morphology of the ultramacroporous in PLA foams, additional parameters for these pores have also been measured (1) the ultramacropore density 5m, which is defined as 5m =Number of pixels characteristic of the ultramacropores / Number of pixels of the whole... [Pg.334]

Figure 5. The binarized image of Figure 4. The conductive regions are represented by black pixels, while the insulating regions are represented by white pixels. The 25 chosen black pixels are each circled. Some example boxes are shown around the centermost chosen black pixel. (Reproduced with permission from ref. 4. Copyright 1995 American Physical Society.)... Figure 5. The binarized image of Figure 4. The conductive regions are represented by black pixels, while the insulating regions are represented by white pixels. The 25 chosen black pixels are each circled. Some example boxes are shown around the centermost chosen black pixel. (Reproduced with permission from ref. 4. Copyright 1995 American Physical Society.)...
Figure 6 shows a plot of Pd[L) vs. L for the binarized image shown in Figure 5. The data points are the mean values of p (x), averaged over the 25 different boxes of... Figure 6 shows a plot of Pd[L) vs. L for the binarized image shown in Figure 5. The data points are the mean values of p (x), averaged over the 25 different boxes of...
Fig. 20a-c Two-dimensional (2D) optical slices of the DPB/PB mixture undergoing SD at 40 °C for 2,846 min. Binarized images at three different depths from the glass surface, z, are presented a z=0 (at glass surface), b z 4 /im, c z=25 //m. White and black regions of the 2D images correspond, respectively, to PB-rich and DPB-rich phases. Bar corresponds to 100 i m... [Pg.148]

Fig. 3. Procedure of the reconstruction of porous media SEM image of the porous silica-sup-ported catalyst particle, selection of rectangular box, binarization of SEM image, calculation of the autocorrelation function Mu), and reconstructed porous medium. Fig. 3. Procedure of the reconstruction of porous media SEM image of the porous silica-sup-ported catalyst particle, selection of rectangular box, binarization of SEM image, calculation of the autocorrelation function Mu), and reconstructed porous medium.
FIGURE 2.13 (a) Grayscale (b) binarized and (c) 3D images of formulated fried batter... [Pg.60]

Fig. 8. Binarization example in top row (a) original image, (b) Otsu method, (c) filtering with Laplacian operator, and (d) its binarization with Otsu in bottom row (e) SOM, (f) MSCL in homogeneous grey quantization, (g) MSCL with two features, and (h) Otsu binarization of (g). Fig. 8. Binarization example in top row (a) original image, (b) Otsu method, (c) filtering with Laplacian operator, and (d) its binarization with Otsu in bottom row (e) SOM, (f) MSCL in homogeneous grey quantization, (g) MSCL with two features, and (h) Otsu binarization of (g).
Binarize the image using an appropriate threshold (ctrl + shift+ t). [Pg.303]

Image smoothing is obtained by applying a median filter. Pixel intensity in the seeded liquid is thus more uniform, making image binarization by thresholding easier and more accurate. [Pg.62]

Image binarization is obtained by setting a threshold pixel value to discriminate the water medium. [Pg.62]

Fig. 3.11 a Sample raw image, b Binary images for the channel, and c water plug, obtained after image processing of (a) and binarization with different thresholds... [Pg.63]


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See also in sourсe #XX -- [ Pg.170 ]




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