Current Topics in Applied Morphological Image Analysis
Luc M. Vincent · 2019
This chapter focuses on two very important aspects of mathematical morphology such as image segmentation and granulometries. It deals with a brief review of mathematical morphology, introduces a few notations and conventions, and provides some reminders on morphological concepts. The chapter describes morphological segmentation, and such tools as grayscale reconstruction, area openings, and watersheds. It also describes efficient binary and grayscale granulometry algorithms, and illustrates their use in a variety of applications, ranging from size estimation, texture characterization, and classification. The chapter is concerned with problem-solving and algorithms. It also provides some background on mathematical morphology, its classic operators, and associated notations. The chapter also deals with multidimensional images. An approach developed in the mathematical morphology community has proved to be a lot more robust and widely applicable to a range of image segmentation problems.