I want to perform image processing on a low-end (Atom processor) embedded computer or microcontroller that is running Linux.
I'm trying to decide whether I should write my image processing code in Octave or Python. I feel comfortable in both languages, but is there any reason why I should use one over the other? Are there huge performance differences? I feel as though Octave may more closely resemble, syntax-wise, the domain of image processing than Python.
Thanks for your input.
Edit: The motivation for this question comes from the fact that I design in Octave and get a working algorithm and then port the algorithm to C++. I am trying to avoid this double work and go from design to deployment easily.
I am bit surprised that you don't stick to C/C++ - many convenient image processing libraries exists. Even though, I have like 20 years of experience with C, 8 years of experience with Matlab and only 1 years of experience with Python, I would choose Python together with OpenCV, which is an extremely optimized library for computer vision supporting Intel Performance Primitives. Once you have a working Python solution, it is easy to translate this to C or C++ to get the additional performance or reduce the power consumption. I would start with Python and Numpy using matplotlib for displaying / prototyping, optimize using OpenCV from within Python and finally use C++ and test it against the Python reference implementation.
Octave/MATLAB vs. Python On An Embedded Computer