### Table 1. Suggested values for inspection quality metrics

1997

"... In PAGE 6: ...3 Suggested values for metrics According to the characteristics of the prescriptive metrics, we need objectives for the measures concerned. It is natural that the metrics for inspection quality status should be most essential when monitoring the inspection process, and thus we also present a summary of these in Table1 . The suggested values are derived from papers introducing experiences in industry, which are not in general statistically reliable.... In PAGE 9: ...ractice. Inspectors may suggest the use of library functions or their own code. The discussion also helps to find a consensus regarding the types and seriousnesses of the defects, and further supports accurracy of recording and correction. Most metrics for inspection quality status have lower values than in Table1 , i.e.... ..."

Cited by 1

### Table 1. The scores for color difference metric along the object boundary.

in Metrics For Performance Evaluation Of Video Object Segmentation And Tracking Without Ground-Truth

"... In PAGE 3: ....1. Experiments with intra-frame color differences along the boundary The color differences along the boundary of the Hall monitor se- quence are calculated in the YCbCr color space using the Eu- clidean distance. In the first column of Table1 , the color metric BW BVBUBNAB is given which is calculated using the expression given in Eqn.3 for frames 32-230, with AB BP BCBMBD.... In PAGE 3: ... In order to observe the sensitivity of the metric CS BVBU B4D8B5 to shifts in the correct segmen- tation masks, we randomly shifted the ground-truth segmentation masks with A6BDBC pixels, in an attempt to simulate incorrect seg- mentation. The percentage increase in BW BVBUBNAB , and the variance of CS BVBU B4D8B5 are given in Table1 , which shows that the maximum increase occurs when L = 2 and L = 3, respectively. Although the variance of CS BVBU B4D8B5 depend on the characteristics of the back- ground and object color, we expect it to be small if the object is correctly segmented and the background surrounding the object is not cluttered.... ..."

### Table 2. Color space comparison

"... In PAGE 5: ... A series of sequences with varying illumination Using the CHS algorithm, we compare various color spaces. Table2 presents the tracking quality for the sequence in Figure 5. The sequences of the first series showed that RGB color space works well in many cases.... ..."

### Table 2. Discrimination capacity of di#0Berent color indexing techniques

in EigenHistograms: using Low Dimensional Models of Color Distribution for Real Time Object Recognition

1999

"... In PAGE 6: ... Table2 shows the results obtained for each method of color object inspection considering 21 blisters of di#0Berent rois where each blister contains correct and wrong objects. The purpose of this test is to observe the global probabilistic distributions of wrong and correct color objects.... ..."

Cited by 2

### Table 2. Numbers of triangle-free graphs The size of a graph is the number of edges in it. One way to view the one-color triangle avoidance game is that A apos;s objective is to reach a maximal triangle-free graph of odd size, whereas B apos;s goal is to reach one of even size. We call these sets of graphs the natural objectives of A and B. As noted earlier in describing our computational procedure, maximal triangle-free graphs are exactly those which still have a mark value of U when reached in the main loop. In this way we have counted maximal triangle-free graphs in the course of determining the Winners for n 12. The number mn of order n is listed for those values of n in Table 2, along with the number wn which are Winner apos;s objective. We attempted to gain insight into Winner apos;s strategy by modifying the game so as to limit Winner apos;s objectives to some proper subset of her natural 9

"... In PAGE 9: ... Both time and space posed barriers to extending the computations to order n = 13. The numbers tn of unlabeled triangle-free graphs of order n as reported in [5] are listed in Table2 for n 15. The time and the space requirements for our computational procedure for determining Winner for... ..."

### Table 2. Color differences of sample patch in the HSV color space.

"... In PAGE 3: ... 3. Color difference between before color correction and after in HSV color coordinates is shown in Table2 . Here, we confirmed that color difference of the proposed method is reduced about 85.... ..."

### Table 1. Skin color classification results for RGB color space

2003

Cited by 5

### Table 1. Colors and their neighbor colors in the segmented color space. The neighbor colors for each color category were found after analysis of the fuzziness of the experimental results.

"... In PAGE 5: ... So, one could label these colors as being perceptual neighbors. In Table1 the 8 color categories are listed with their neighbors. The segmented color space has a 100% match with the experimental results.... ..."