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Digital Image Effect Processing Description
1) Default: The original image (RGB colors)
[Uses : Displays the original image from the Digital Presenter.]
2) Grayscale: The image(RGB colors) is changed to grayscale.
[Uses : You can enhance readability or legibility of the image.]
3) Histogram: The program shows the histogram on the left-up side. This effect is
available on Default, Grayscale, Binarization mode.
[Uses : Lets you adjust the Digital Presenter's bright value or turn the lamp On/Off
efficiently.]
4) Negative: This toggles Negative and Positive Image.
[Uses : Converts negative film or slide image into positive image.]
5) Binarization: Assigns the image to 1 or 0 by threshold value. The threshold ranges
16~251 and the value is not automatically decided. The default value
is 128 and you can set the value of Binrization by mouse or
[
], [
] keys.
[Uses : Applied to Image Analysis / Image Interpretion. (OCR, Pattern
Recognition)]
6) Edge Detection: Identifies the areas of the image with significant transitions and
emphasizes the edges. Find edges,outlines the edges of an
image using the Prewitt mask.
[Uses : Applied to Image Analysis / Image Interpretion in the Computer Vision.]
✔
Note :
A histogram illustrates how
pixels in an image are distributed by
graphing the number of pixels at each
color intensity level. This can show you
whether the image contains enough
detail in the shadows (shown in the left
part of the histogram), midtones
(shown in the middle), and highlights
(shown in the right part) to make a
good correction. The histogram also
gives a quick picture of the tonal range
of the image, or the image key type.
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