Image Optimization 5-5
Smooth
Rejects image noise and makes images smooth.
Adjust through the [Smooth] item in the menu;
The system provides 4 levels of smooth function, the bigger the value the
higher the smooth adjustment.
This function is used to superimpose and average adjacent B images, so as to
optimize the image and remove noises.
Adjust through the [Persistence] item in the menu;
The system provides 8 level of frame average adjustment, the bigger the
value the stronger the effect.
Persistence can remove image noise to make details to be clearer.
Persistence increase may lead to signal missing.
This function provides a better observation for image display.
To invert the image horizontally or vertically.
Click [L/R Flip] or [U/D Flip] in the menu to invert the image.
Rotate the image through the [Rotation] item in the menu.
Image can be rotated by the manners in angle of 0°, 90°, 180°, 270°.
When the image is rotated in the angle of 90° or 270°, the depth scale is
displayed on the upper part of the screen.
When you flip or rotate an image, the “M” mark will change its position on the screen; the M
mark is located in the upper left corner of the imaging area by default.
The function is available in real-time imaging, freeze or cine review status.
In the Dual-split mode, when the images of the two windows use the same
probe type, depth, invert status, rotation status and magnification factor, the
system will merge the two images so as to extend the field of vision.
Turn on/ off the function through the [Auto Merge] item in the menu;
Available only for linear probes.
The function is available in real-time imaging, freeze or cine review status.
Adjusting grayscale contras to optimize the image.
Select among the maps through the [Gray Map] item in the menu;
You can also adjust through the grayscale bar: move the cursor to the
grayscale bar and press <Set> on the control panel to adjust.
The system provides 8 gray maps to be selected among.
The function is available in real-time imaging, freeze or cine review status.