There are many different methods to perform gray level segmentation in microscope cell images however, in some circumstances, texture features and roughness are not as relevant as the color for the segmentation task. In ...

There are numerous segmentation methods for gray level microscope cell images, however in some situations the texture features and roughness are not as relevant as the color for the segmentation task. For example, for ...

Seeded segmentation methods have gained a lot of attention due to their good performance in fragmenting complex images, easy usability and synergism with graph-based representations. These methods usually rely on sophisticated ...

The analysis of similarity has interested the scientific community from the early 1900’s, with the pioneering work of Jaccard, to our very day. Many methods and algorithms for improving the correct quantification of ...

Image segmentation is a process frequently used in several different areas including Cartography. Feature extraction is a very troublesome task, and successful results require more complex techniques and good quality data. ...

A neural network is a mathematical model that is able to perform a task automatically or semi-automatically after learning the human knowledge that we provided. Moreover, a Convolutional Neural Network (CNN) is a type ...