Chapter 5. Transforming Images with Morphological Operations
In this chapter, we will cover the following recipes:
- Eroding and dilating images using morphological filters
- Opening and closing images using morphological filters
- Applying morphological operators on gray-level images
- Segmenting images using watersheds
- Extracting distinctive regions using MSER
Introduction
Mathematical morphology is a theory that was developed in the 1960s for the analysis and processing of discrete images. It defines a series of operators that transform an image by probing it with a predefined shape element. The way this shape element intersects the neighborhood of a pixel determines the result of the operation. This chapter presents the most important morphological operators. ...
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