"A
picture is worth a thousand words"
is not just an idiom, any complex idea can be easily conveyed with
just a single still image. Machine
vision
is the current trending area towards which many companies are
focussing today. So from now on, embeddedunderoneroof is going to
post a series of posts under Image Processing. Get ready to go into
the digital image world :)
First
things first, inorder to do some complex image processing tasks
starting everything from scratch is a dream which may come true. Lets
stick onto practical, there are several libraries dedicatedly
focussing on image processing is available. Here comes a few in the
list
Image
processing libraries:
- Matlab
- OpenCV
- AForge
- Magick++
- CImg
Each
library has its own pros and cons. In the upcoming series of posts,
we are going to use OpenCV
library since it is being available open
source
for both commercial and non-commercial use. So now we have got a
library to do the image processing tasks.. Where are we going to run
all this?? A PC with sufficient memory and processing power is
enough. The OS is users choice, our choice would be the Windows. Dont
worry OpenCV has supports in major OS's choose whichever OS you are
comfortable with.
OpenCV
supported OS:
- Windows
- Linux
- Mac
- iOS
- Android
Download
Link:
http://opencv.org/downloads.html
Once
you have chosen an OS use the download link mentioned above and
download the latest OpenCV version for your OS and wait for our next
post in this series.
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