Typical applications for Wolution
Wolution is equipped with a large set of algorithms, and also allows you to train your own algorithms by providing labeled examples. It is therefore possible to perform a wide range of image analysis tasks, and we are continuously working to enlarge the possibilities. Below we list some tasks that you can solve with Wolution.
An important class of image analysis tasks is segmentation. The goal is to select certain regions of the image for further analysis (for example calculating the size of the region, or the number of independent regions). Wolution provides both standard algorithms that can work out of the box, and learning algorithms where you teach the segmentation algorithm by providing hand segmented images, which you can easily generate with our interface. In this example we are finding all neurons in a microscope images of a rat brain with Wolution learning.
Another main class of tasks is object detection. In object detection the goal is to find all objects of a given type in an image. For example you might want to select a class of cells and count them. In this example we are finding cars in satellite images. Programming such a detector by hand would be challenging but with Wolution learning it can be done easily without any image analysis knowledge.
Standard Image Processing
Automatise simple image processing tasks and run them on a large number of images. You might want to change the size or contrast of an image, apply filters, or use denoising algorithms to improve the image quality. Here we are applying a simple edge detector to find the structures in the image.