Machine Learning

This category describes algorithms dedicated to image processing with convolutional neural networks and traditional classifiers.

Classification: Algorithms partioning an image into a label image by assigning its pixels to a class.
Deep learning: This group contains algorithms performing a prediction from a fully convolutional neural network.

Machine learning algorithms build a model based on a set of training data, in order to make predictions or decisions without being explicitly programmed to do so.

ImageDev provides two types of machine learning algorithms that can be applied for image-processing tasks:

Traditional classification algorithms performing segmentation with a supervised or unsupervised approach.
Deep learning algorithms using a convolutional neural network for performing image denoising or segmentation.