Question
Asked 12th Feb, 2018

How Image Processing and machine learning can be linked together?

Machine learning application in the field of image processing.

Most recent answer

6th Sep, 2020
Abdelghani Rouini
Ziane Achour University of Djelfa
Hi;
Machine Learning(ML) generally means that you’re training the machine to do something(here, image processing) by providing set of training data’s. MLg have models/architectures, loss functions and few approaches that can be used to determine which would provide better image processing. Also, it depends on the type of image processing you intend to do as there are certain loss functions that perform better than other due to their inherent properties for example there’s a high possibility that cross-entropy loss function could perform better than other loss function to give a better image processing.
Regards
2 Recommendations

Popular Answers (1)

12th Feb, 2018
Seyed Sahand Mohammadi Ziabari
Delft University of Technology
It depends on what you want to do. There are so many examples to build your data and learn them to find the best solution for your work.
4 Recommendations

All Answers (10)

12th Feb, 2018
Ashin Joshi
Ashoka University
Machine Learning basically means that you're training the machine to do something(here, image processing) by providing set of training data's. Machine Learning have models/architectures, loss functions and several approaches that can be used to determine which would provide better image processing. Also, it depends on the type of image processing you intend to do as there are certain loss functions that perform better than other due to their inherent properties for example there's high possibility that cross-entropy loss function could perform better than other loss function to give a better image processing. Hopefully, this helps.
Also, I believe that CNN architectures would perform better.
1 Recommendation
12th Feb, 2018
Seyed Sahand Mohammadi Ziabari
Delft University of Technology
It depends on what you want to do. There are so many examples to build your data and learn them to find the best solution for your work.
4 Recommendations
15th Feb, 2018
Mazin Abed Mohammed
University of Anbar
Deep Learning for Medical Image Processing: Overview, Challenges and Future
2 Recommendations
19th Feb, 2018
JABRIL RAMDAN
Universiti Kebangsaan Malaysia
Machine learning used for improving image processing results for exampl. By feature extraction and classifieled.
20th Feb, 2018
Adrian Aleman-Zapata
Radboud University
In general the (pre-) processing of an image is often an initial step to later extract the features that would be used to train a machine learning classifier. Signal processing can be used to enhance or eliminate properties of the image that could improve the performance of the machine learning algorithm.
22nd Feb, 2018
Dang N. H. Thanh
University of Economics Ho Chi Minh City
Image processing problem => Optimisation problem.
Machine learning => Effective tool to solve Optimisation problem.
So, they linked together.
3 Recommendations
22nd Feb, 2018
Faraz Akram
Riphah International University
Whenever there is a image recognition/classification problem, Machine learning is there to solve it.
e.g. Face identification, Face recognition, Facial expression recognition, Tumor/disease detection from medical images, Car licence plate recognition, optical character recognition, and so on

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