### Table 2. Experiments with CIF video test sequences. Raster scan codec Spiral scan codec

2005

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### Table 2: Applying the 1D polygonization method on spiral scans of 34 TEM im- ages, we give the average number of remaining points, n, in the flog(TWD); log(S)g- domain, the average correlation coe cient, r, and the average uncertainty in the linear slope coe cient, H, for four di erent values of the upper limit ku to the number of line segments in the polygon. for discriminating between cell nuclei from the two classes. We also note that while the method of Voss is quite time consuming, the estimation of lacunarity features from polygonization is much faster.

"... In PAGE 6: ... Using the polygonization method on TEM-images, we nd that the automatic determination of the range of TWD-values is very useful. Compiling the results from 34 TEM images, Table2 below gives the average number of remaining points, n, in the flog(TWD); log(S)g-domain, the average correlation coe cient, r, and the average uncertainty in the linear slope coe cient, H, for four di erent values of the upper limit ku. We see that the correlation coe cient increases and the uncertainty in the dimension estimate decreases as the value of the upper limit is lowered from ku=(N ? 1) = 0:33 to ku=(N ? 1) = 0:15.... ..."

### Table 1: Applying the 1D polygonization method on spiral scans of three di erent 256 256 8 bit images, we give the input value of H, the number of remaining points, n, in the flog(TWD); log(S)g-domain, the correlation coe cient, r, and the uncertainty in the linear slope coe cient, H.

"... In PAGE 3: ... One may also verify that by using the Fibonacci sequence, more points remain in the flog(TWD); log(S)g-domain, and thereby more reliable values of HWD are obtained, as compared to ordinary doubling of tolerance values. Table1 below gives the number of remaining points, n, in the flog(TWD); log(S)g- domain, the correlation coe cient, r, and the uncertainty in the linear slope coef-... ..."

### Table 1. Applying the 1D polygonization method on spiral scans of three di erent 256 256 8 bit images, we give the input value of H, the number of remaining points, n, in the flog(TWD); log(S)g- domain, the correlation coe cient, r, and the uncertainty in the linear slope coe cient, H.

"... In PAGE 3: ... One may also verify that by using the Fibonacci sequence, more points remain in the flog(TWD); log(S)g- domain, and thereby more reliable values of HWD are obtained, as compared to ordinary doubling of tolerance values. Table1 below gives the number of remaining points, n, in the flog(TWD); log(S)g-... ..."

### Table 2. Time required for contouring a 3D CT sequence from the superior thoracic aperture to the thigh (72 slices) using the available segmentation algorithms. The categories of quality are defined in section 2.3.

### Table 1: Comparison Between Segmentation Techniques Segmentation Technique Information used in Segmentation Extends to N-D Method of Segmentation

"... In PAGE 6: ... Boykov and Jolly (2001a) use gray-scale histograms in order to model the intensities of the pixels in the image, however the Grab-Cut technique uses Gaussian mixture models in order to model the colour statistics of the image. Table1 shows a comparison between the various segmentation techniques with regard to the information they use to perform the segmentation, if the method can be extended from 2-D to N-D data, and the method that is employed in order to perform the segmentation. Segmentation techniques are used primarily for 2-D images, but some segmentation techniques can be extended to 3-D data (or volumes) and even N-D data.... ..."

### Table 1. Optimization techniques used in image segmentation and multiview 3D re- construction.

2007

"... In PAGE 3: ... Both techniques were inspired by the original works of [13], [24]. Table1 provides a number of representative works on local opti- mization, discrete and continuous global optimization in the context of image segmentation and multiview reconstruction, respectively. The paper is laid out as follows.... ..."

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### Table 1. Optimization techniques used in image segmentation and multiview 3D re- construction

2007

"... In PAGE 3: ... Both techniques were inspired by the original works of [12], [25]. Table1 provides a number of representative works on local opti- mization, discrete and continuous global optimization in the context of image segmentation and multiview reconstruction, respectively. The paper is laid out as follows.... ..."

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### Table 2 Comparing Automated Segmentation With Manual Segmentation by Experts

"... In PAGE 4: ... Comparing the TDSH11001 pipeline to the PVEC pipeline, it was apparent that the addition of the TDS algorithm to the PVEC pipeline improved all measures of reproducibility. The total WMSA volumes of the 10 slices selected from group A subjects and the nine slices from group B subjects are summarized in Table2 for all analysis methods. Direct comparison showed that the WMSA volumes obtained with TDSH11001 were the closest to the average volume determined by the three experts.... In PAGE 5: ...tained interactively by radiologists ( Table2 ). The addi- tion of the TDS algorithm to the PVEC analysis pipeline, which resulted in the analysis pipeline dubbed TDSH11001, also improved interscan reproducibility of WMSA mea- surement in MS patients, as well as in older subjects with WMSA, as demonstrated by the higher intraclass correlation coefficients and lower interscan coefficients of variation compared to the PVEC analysis pipeline (Table 1).... In PAGE 6: ...99) and overestimate them in group B (Z H11005H11001 0.99) ( Table2 ). Further studies will be needed to pin- point the impact on volumetric accuracy of individual variables related to image analysis (e.... ..."

### Table 1 ROM of thoracic and lumber spines Direction of

2006

"... In PAGE 2: ... However, it serves as a useful guide in the development of a humanoid robot. Table1 lists the rules and results for trunk motions (thoracic and lumbar spines). These ROM measurements for an average human were either carried out in a sitting position or with instruments that held the pelvis in initial position.... In PAGE 3: ... The static simulations are used under the assumption that the robot stands and bends its trunk forward at an angle of 45 degrees or bends sideways at 30 degrees. These ranges correspond to the maximum moveable ranges in a human, as shown in Table1 . The dynamic simulations correspond to the assumption that the robot can walk and maintain its balance by using trunk motions to compensate for the ZMP.... ..."

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