Computer Vision, Graphics, and Image Processing
Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
The algebraic basis of mathematical morphology
CVGIP: Image Understanding
An overview of morphological filtering
Circuits, Systems, and Signal Processing - Special issue: median and morphological filters
Theoretical aspects of morphological filters by reconstruction
Signal Processing
Recursive Implementation of Erosions and Dilations Along Discrete Lines at Arbitrary Angles
IEEE Transactions on Pattern Analysis and Machine Intelligence
Attribute openings, thinnings, and granulometries
Computer Vision and Image Understanding
Fast computation of morphological operations with arbitrary structuring elements
Pattern Recognition Letters
Mathematical Morphology and Its Applications to Image and Signal Processing
Mathematical Morphology and Its Applications to Image and Signal Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Antiextensive connected operators for image and sequence processing
IEEE Transactions on Image Processing
Flat zones filtering, connected operators, and filters by reconstruction
IEEE Transactions on Image Processing
Image processing through multiscale analysis and measurementnoise modeling
Statistics and Computing
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In this paper we give an overview of both classical andmore modern morphological techniques. We will demonstrate theirutility through a range of practical examples. After discussing thefundamental morphological ideas, we show how the classicmorphological opening and closing filters lead to measures of sizevia granulometries, and we will discuss briefly their implementation.We also present an overview of morphological segmentation techniques,and the use of connected openings and thinnings will be demonstrated.This then leads us into the more recent set-theoretic notions ofgraph based approaches to image analysis.