Sentence examples for modulation histogram and from inspiring English sources

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We firstly applied the multi-threshold Ng's method on modulation histogram and then proposed our method for shadow and background detection based on modulation and intensity histogram.

The object in Fig. 11a is preprocessed by object segmentation based on modulation histogram, and that of Fig. 11b is preprocessed by our proposed method with modulation and intensity histogram being analyzed.

In this paper, an accurate shadow and background removal technique is proposed, which segments the shadow by one threshold from modulation histogram and segments the background by the threshold in intensity histogram.

In this paper, we apply the multi-thresholding technique on modulation histogram and propose a preprocessing method to detect the valid points of the object by firstly segmenting the shadow using one threshold from the modulation histogram.

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Fig. 11 3D measurement results with the object segmented by multi-thresholding Ng's method on modulation histogram (a) and by our proposed method (b).

The modulation histogram is within two classes, and it is easy to find the threshold t 1, to segment the valid points and invalid points.

As can be seen that when the background is a white board, the modulation level of the background will be high, and the modulation histogram in Fig. 1f is to be classified to three categories.

Figure 8a shows the modulation histogram of the captured fringe patterns, and Fig. 8b shows the histogram of intensity difference for the captured coding image.

Fig. 3 Detected shadow and interior invalid points using threshold t 1 on the modulation histogram.

The literature [8] has improved and applied Ng's method for single thresholding in the fringe modulation histogram for object detection in digital fringe projection technique, while it only discussed the situation of a dark background, in which only one threshold is needed for object segmentation.

The literature [8] utilizes them in modulation histogram for object segmentation.

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