Ant colony optimization algorithm for ImageEedge detection
$30-250 USD
Completed
Posted almost 9 years ago
$30-250 USD
Paid on delivery
Need to implement algorithm of existing IEEE paper with one change . Here is the abstract .
Abstract—Ant colony optimization (ACO) is an optimization
algorithm inspired by the natural behavior of ant species that
ants deposit pheromone on the ground for foraging. In this
paper, ACO is introduced to tackle the image edge detection
problem. The proposed ACO-based edge detection approach
is able to establish a pheromone matrix that represents the
edge information presented at each pixel position of the image,
according to the movements of a number of ants which are
dispatched to move on the image. Furthermore, the movements
of these ants are driven by the local variation of the image’s
intensity values. Experimental results are provided to demonstrate
the superior performance of the proposed approach.
Change : this algorithm works only on b/w bitmap images of size 128 X 128. I want this algorithm to work on different sizes of images upto 512X512 and colored images if possible .
Hi
I'm an expert in Matlab and image processing
I can provide you with a working code on ACO for image edge detection
Kindly see my profile for my experience
looking forward to work with you
Regards
Usman
$250 USD in 10 days
4.9 (5 reviews)
3.8
3.8
4 freelancers are bidding on average $231 USD for this job
We have expertise on genetic algorithms under java developments, we are able to implement the ant colony algorithm under the programming language you wish. We just need a time to figure it out if the change you need is possible and how we are going to perform that. Both cases we will provide all the justifications and we keep in touch at every step of the development...
Best regards
Global Science Solutions