Sentence examples for using the histogram equalization from inspiring English sources

The trained acoustic mean models of a speech recognizer are adapted into environmentally matched conditions by using the histogram equalization algorithm on a single utterance basis.

Then, the histogram equalization is performed using a LUT substitution obtaining a new brightness channel (V2 in Figure 1), which is linearly combined with the output from the retina-like processing.

Figure 4 Example of the dynamic range separation using the Otsu method with n = 2. Applying the histogram equalization algorithm for small sub-histograms does not assure an effective enhancement in the output due to a little bit of alteration.

For instance, numerous preprocessing methods, such as the histogram equalization, gamma correction, and logarithm transform, are widely used for the illumination normalization.

The effect of the histogram equalization now allows for the separation of the flow from bulk tissue by using an image filter that quantifies the "randomness" of data.

The histogram equalization (HE) is an important contrast ratio enhancement method.

Therefore, this separation scheme reduced the modification of brightness from the histogram equalization of each sub-histogram.

Figure 6 shows the effects of the histogram equalization.

The histogram equalization was essential for these calculations, so there will not be a high degree of variance between subsequent images.

In order to reduce the noise level due to staining variation, median filter was used and, simultaneously, the image contrast was enhanced using histogram equalization technique and 2(b)).

Next, in order to prevent over-enhancement of the reflectance component, brightness of the estimated illumination component is corrected using histogram equalization and the sigmoid function.