Mathematical Morphology and Its Applications on Image Segmentation
Date Issued
2000-06-07
Date
2000-06-07
Author(s)
Lin, Wei-Cheng
DOI
20060927122912851169
Abstract
Mathematical morphology provides a systematic approach to analyze the geometric
characteristics of signals or images, and has been applied widely to many appli-
cations such as edge detection, object segmentation, noise suppression and so on.
Thus, the main purpose of this thesis is to provide an overview of mathematical
morphology and review some morphological lters which are widely used in image
processing. Furthermore, a morphology-based supervised segmentation system is
proposed.
In chapter 2, we rst review the basic geometric characteristics of the primitive
morphology operators. Some examples of their applications on signal processing
are also illustrated. Chapter 3 is devoted to the watershed transformation and the
morphological gradient operators that are constructed on the basis of the underly-
ing morphological operations. The morphological supervised segmentation system
is described in chapter 4, including the implementation detail and parameter set-
tings. Experimental results can be found in chapter 5 and some discussion of the
simulation results are also included. Chapter 6 will represent the conclusion of this
thesis and our future works.
Publisher
臺北市:國立臺灣大學資訊工程學系
Type
journal article
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