Morphology

12.

Practical Applications

12.1.

Image Preprocessing

12.1.1.

12.1.1.1.

Salt-and-Pepper Noise

12.1.1.2.

12.1.1.3.

12.1.2.

Image Enhancement

12.1.2.1.

Contrast Improvement

12.1.2.2.

Feature Sharpening

12.1.3.

Artifact Removal

12.2.

Image Segmentation

12.2.1.

Region-Based Segmentation

12.2.2.

Boundary Extraction

12.2.3.

Marker-Controlled Methods

12.2.4.

Multi-Scale Segmentation

12.3.

Feature Extraction

12.3.1.

Boundary Detection

12.3.2.

Shape Descriptors

12.3.3.

Texture Analysis

12.3.4.

Connected Component Analysis

12.3.5.

Convex Hull Computation

12.4.

Domain-Specific Applications

12.4.1.

Medical Image Analysis

12.4.1.1.

Cell Segmentation

12.4.1.2.

Vessel Extraction

12.4.1.3.

Bone Structure Analysis

12.4.1.4.

Tumor Detection

12.4.2.

Document Image Processing

12.4.2.1.

Character Recognition

12.4.2.2.

Layout Analysis

12.4.2.3.

Text Line Extraction

12.4.2.4.

Symbol Recognition

12.4.3.

Industrial Inspection

12.4.3.1.

Defect Detection

12.4.3.2.

Quality Control

12.4.3.3.

Surface Analysis

12.4.3.4.

Dimensional Measurement

12.4.4.

12.4.4.1.

Land Cover Classification

12.4.4.2.

Feature Extraction from Satellite Imagery

12.4.4.3.

Change Detection

12.4.4.4.

Environmental Monitoring

12.4.5.

Biological Image Analysis

12.4.5.1.

Microscopy Image Processing

12.4.5.2.

12.4.5.3.

Morphometric Analysis

12.4.5.4.

Fluorescence Analysis

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11. Implementation and Computational Aspects

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1. Introduction to Mathematical Morphology