Image features selection and Classification
₹12500-37500 INR
Paid on delivery
This task is about "image classification".
Steps involved-
1. Features extraction 2. Features selection 3. Image classification
Preferably MATLAB or R language can be used for this implementation. The classification must be multi-class. You can use any filter algo for image features extraction, an efficient technique can be used for features selection and further you have to use ANN(artificial neural networks), SVM(support vector machine) classifiers concepts. In the final classified image output, pixels corresponding to various classes(e.g. water, land, trees, road etc.) should be shown as different colors in the testing phase.
Project ID: #16551898
About the project
Awarded to:
I have done similar project which deals with features extraction and classifying them using Neural Networks. May be new to freelancing site but not for the project that you need. I can get your work done with a good ef More
6 freelancers are bidding on average ₹19528 for this job
Have experience on CNN Algorithm. I have developed the algorithm of dag-cat classification using python. However I can code in R also.
