Brief.
TVBase
2.1. involves powerful mathematical functions in image processing.
Any device with PAL, SECAM, NTSC output signal can be used
as a data source. Grabbed images are stored in the database
for further processing. Image processing algorithms like filtering
or quantization allow personnel of medical or scientific organization
analyze complex data obtained during researches or medical
procedures. TVBase includes personal computer, video blaster
Aver PCImager, image database, video capturing software module
avercap32.exe and image processing module tvbase.exe.
Functions.
TVBase
release 2.1 provides:
- Realtime
video playback in a window up to 768x586 pixels;
- Control
of brightness,sharpness, color, saturation and format of
picture;
- Frame
grabbing;
- Comments
and date/time labelling;
- Saving
files into external file (*.BMP);
- Digital
processing of data obtained (negative/positive, coloring,dithering,
filtering);
- Image
Print
Hardware requirements
| Processor |
Pentium-100 |
| RAM
|
16
Mb |
| Video |
S3
Trio, Cirrus 5446, ET6000, ATI, Matrox Millenium, Trident
Pro Vidia 9685. DirectDraw support |
| Platform |
Windows
95/98
DAO 3.5 components |
| CDROM |
Preferrable |
| PCI |
One
free slot |
Data
processing algorithms involved.
Sample
image of Sun
( the Courtesy of Main Astronomical Observatory, Kiev)
a.
Negative
Reversing
image colors.
b.
Coloring
Transformation with assigning of three
basic colors (red,green,blue) to the brightness levels
of image.
c.
Black/White
Excluding color data from image.
d.
Roberts & Sobel filtering.
  These
operations can be ascribed to the contouring operations group.
Contouring is made according to gradient of image brightness
or optical density. The basic difference between Roberts and
Sobel filters is the form of differential operator and size
of floating window. Both operators are referred to the high
frequency filter class. Sun spots are seen much more better
at the sample image with Roberts filtering applied (to the
left), at the same time Sobel filter gives dim and low contrast
result (to the right).
e.
Dithering
Dithering is a low-frequency filtering operation.
Used for suppression of small defects, sharp edges etc.
f.
Ordinal filtering
Ordinal
filtering is a powerful image processing mechanism. Used for
suppression or distinguishing of image details. Median filtering
is a well known instance of ordinal filtering. See at the
picture to the left - distinguishing the object edges (Sun
limb).
g.
Convolution
Various pre-set weighting functions available.
Besides, weighting functions parameters can be edited.
h.
Binary quantization.
This
filter has a floating threshold and flexible palette controlling
features. Changing the threshold value distinguishes areas
with equal signal levels. Sun limb data with less brightness
excluded at the sample image (see to the left).Digital processing
algorithms provide TVBase with the brand variety of scientific
and technological problems- medicine, aircraft, astronomy,
physics, biology etc. TVBase is a basic product , encapsulating
general functions of digital image processing and storing,
it is highly extendable and flexible. Supplemented by additional
modules, it solves problems for our customers, who faces intense
image data streams in their activities.
Implementations.
TVBase
solution carefully handles huge amounts of realtime data,
saving the necessary frames to the HDD (flight testing - aircraft
industry, guarding system- security services). TVBase is a
tool to distinguish tiny details or suppress noise signals
to process weak and noisy image data (scientific researches
- physics, astronomy, biology) TVBase stores images at the
HDD, with no additional expensive special devices, to bring
the power of information technologies to the medicine (health
care- patient image database).
|
TVBase
