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 ...
Get OpenCV 3.0 Computer Vision with Java now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
