1. Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Histograms representing the distributions of two overlapped states with respect to some diagnostic measure: TPF, true positive fraction; FPF, false positive fraction; TNF, true negative fraction; FNF, false negative fraction; and Th, threshold. Measures higher than Th are classified as belonging to one state, and those with measures under the threshold as belonging to the other. Figure Legend: From: Dynamic speckle algorithms comparison using receiver operating characteristic Opt. Eng. 2008;47(5):057005-057005-9. doi:10.1117/1.2920429

2. Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Typical ROC curves for (a) the ideal case, (b) an intermediate case, and (c) the worst case (fully overlapped case). The arrows indicate the distributions of the occurrences in the states as in Fig.. Figure Legend: From: Dynamic speckle algorithms comparison using receiver operating characteristic Opt. Eng. 2008;47(5):057005-057005-9. doi:10.1117/1.2920429

3. Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Experimental setup used to acquire objective speckle pattern sequences. An unexpanded laser beam illuminates the sample and the scattered light is registered by a CCD camera, digitized by the frame grabber and stored in the computer. Figure Legend: From: Dynamic speckle algorithms comparison using receiver operating characteristic Opt. Eng. 2008;47(5):057005-057005-9. doi:10.1117/1.2920429

4. Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Images resulting from the processing of two different drying activity states using GD method: (a) almost dry paint, (b) wet paint, and (c) the corresponding gray-level histograms with an overlapped region. Regions TNF, FNF, TFF, and FPF are indicated as in Fig.. Figure Legend: From: Dynamic speckle algorithms comparison using receiver operating characteristic Opt. Eng. 2008;47(5):057005-057005-9. doi:10.1117/1.2920429

5. Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. ROC curves corresponding to the GD method for different numbers of images at t=90min. As the number of images is increased, the curves depart from the diagonal showing that the discrimination is better. Figure Legend: From: Dynamic speckle algorithms comparison using receiver operating characteristic Opt. Eng. 2008;47(5):057005-057005-9. doi:10.1117/1.2920429

6. Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. ROC curves corresponding to the GD method for different drying times using 400 images. When paint dries, its activity decreases, and a comparison with the initial state results in a very good differentiation. After 180min, the probabilities of distinguishing that state from the initial one are almost certainty and the curve covers almost the whole area. Figure Legend: From: Dynamic speckle algorithms comparison using receiver operating characteristic Opt. Eng. 2008;47(5):057005-057005-9. doi:10.1117/1.2920429

7. Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Comparison between GD and WGD algorithms using the ROC method for 400 images and 90min of drying time. When the WGD method is applied with the nonzero weights in the five contiguous images, we obtain a curve with greater inner area as compared with that obtained with the GD. If we use WGD with noncontiguous frames, not only is the curve closer to the diagonal, but a part of the curve is below it. Figure Legend: From: Dynamic speckle algorithms comparison using receiver operating characteristic Opt. Eng. 2008;47(5):057005-057005-9. doi:10.1117/1.2920429

8. Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. ROC curves corresponding to the SBD method for different numbers of images at t=90min. We can see that the two states can be distinguished using only 50 images as the curve is well above the diagonal line. Using 200 images, the probability of distinguishing both states are almost certainty. Figure Legend: From: Dynamic speckle algorithms comparison using receiver operating characteristic Opt. Eng. 2008;47(5):057005-057005-9. doi:10.1117/1.2920429

9. Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. ROC curves corresponding to the SBD method for different drying times using 400 images. For t=30min the curve clearly differs from the diagonal. After 90min, the curve covers almost the entire area. A noticeable improvement of the SBD algorithm in comparison with the DG algorithm is observed (compare with Fig. ). Figure Legend: From: Dynamic speckle algorithms comparison using receiver operating characteristic Opt. Eng. 2008;47(5):057005-057005-9. doi:10.1117/1.2920429

10. Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Comparison between columns in THSP representation for (a) t=0min and (b) t=90min. The ROC method does not show a significant distinction between the different columns of the THSP. Figure Legend: From: Dynamic speckle algorithms comparison using receiver operating characteristic Opt. Eng. 2008;47(5):057005-057005-9. doi:10.1117/1.2920429

11. Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. ROC curves corresponding to the IM of THSP images for different drying times using 400 images. The results show a noticeable improvement compared with the DG and WDG algorithms tested (compare with Fig. ) and slightly better results in comparison with the SBD algorithm (compare with Fig. ). Figure Legend: From: Dynamic speckle algorithms comparison using receiver operating characteristic Opt. Eng. 2008;47(5):057005-057005-9. doi:10.1117/1.2920429

12. Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Paint drying on a coin surface image processed with different algorithms: (a) WGD noncontiguous images, where the result shows a low quality image; (b) GD method, showing better discrimination; (c) WGD contiguous images, here the result image quality is even better; and (d) the IM method. This last high-quality image shows deep dark regions where the paint is dry and quite bright regions where paint is still comparatively wet. Figure Legend: From: Dynamic speckle algorithms comparison using receiver operating characteristic Opt. Eng. 2008;47(5):057005-057005-9. doi:10.1117/1.2920429