Sentence examples for image flattening from inspiring English sources

Post-scan processing included image flattening and particle size analysis using the manufacturer's provided software (MFP-3D 080501 + 1429), based in Igor Pro 6.04 (WaveMetrics, Inc., Portland, OR, USA).

Images were initially processed using the Nanoscope Analysis 1.4 software package (Bruker, Santa Barbara, CA) to apply image flattening to correct for piezotube motion artifacts and a low pass Gaussian filter to eliminate electrical and mechanical noise.

I don't know if you've tried to unscrew 12 different screws at minus 10 or 20 degrees, but it's not a pleasant experience". Beckett says that editing 360 video is also simple, because the image flattens out like a world map and can then be cut like any other footage.

Absolute sensitivity and image-flattening data are obtained together with filter transmission functions.

The acquired images (256 × 256 pixels) were only processed with the instrument-equipped software (Image Processing Software Version 2.1, IP 2.1) to eliminate low-frequency background noise in the scanning direction or to level the images (flatten order: 0 2).

To count the number of foci in a given nucleus, the background of the FITC or TRITC channel image was flattened using the "flatten background" function.

Severe concentric RV hypertrophy is observed on short-axis cine-SSFP end-systole image with flattening and inversion of the interventricular septum during contraction (c).

But when the image was flattened down to a letterbox format, only 810 lines were displayed.

Has such a three dimensional image been flattened for purposes of display on a page, similar to a Mercator projection map?

Then, for each time-component of each subject, the 3D fMRI image was flattened to a 1D vector (with dimension N = 116865 voxels) and a single-subject 40×N matrix was created, containing all flattened images for the 40 temporal components.

The AOI was removed and the image was "flattened", a digital filtering process that decreases the variation in the intensity of background pixels, which is essential when attempting to properly threshold areas within an image that contain similar intensities, e.g. differentiating mammary epithelia from interductal fat pad within a whole mount.