Chapter 3. Image Filters and Morphological Operators

After learning the basics of setting up OpenCV for Java and dealing with a graphical user interface, it is time to explore some of the core operators in image processing. Some of them come from signal processing and we call them filters, as they usually help you to get away with noise from images. It is important to know that several digital filters have their optical counterparts. Other operators play a useful role when dealing with binary images, such as the morphological operators, which will help you to isolate regions or glue some of them together. We will also cover, in detail, the famous bucket fill tool, which is very useful in segmentation. When dealing with large images, it is important to know how image pyramids can help you decrease your image size without losing important information and by achieving performance. We will finish this chapter with one of the simplest and most useful techniques for segmentation, which is applying...