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Analysis of Digital Images Using Morphlogical Operations


Affiliations
1 Dept. of Computer Applications, Sambhram Academy of Mgmt. Studies, Bangalore, India
2 Dept of Computer Applications, Presidency College, Bangalore, India
3 Dept of Computer Applications, Acharya Institutes (AIGS), Bangalore, India
4 Dept. of Computer Science, Jnana Sahyadri, Kuvempu University, Karnataka, India
 

The main aim of this study is to transform the digital images into different forms. Image processing techniques are used with wide varieties of applications. The requirement is different for different applications. This study is mainly focused on how to transform the image using mathematical morphology so that it can be suitable for the respective applications.

Mathematical morphology has been chosen to explain how images are used to illustrate mathematical set theoretic operations, such as union, intersection by means of morphological operations like dilation and erosion.

These techniques are implemented in MATLAB using image processing algorithms. MATLAB is an excellent tool to accomplish these tasks.


Keywords

Image Analysis, Morphological Morphology, Dilation, Erosion, Opening and Closing Operation, Hit-Ormiss Operation, Thinning, Thickens and Gray-Scale.
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  • Analysis of Digital Images Using Morphlogical Operations

Abstract Views: 331  |  PDF Views: 361

Authors

G. Amalorpavam
Dept. of Computer Applications, Sambhram Academy of Mgmt. Studies, Bangalore, India
T. Harish Naik
Dept of Computer Applications, Presidency College, Bangalore, India
Jyoti Kumari
Dept of Computer Applications, Acharya Institutes (AIGS), Bangalore, India
M. Suresha
Dept. of Computer Science, Jnana Sahyadri, Kuvempu University, Karnataka, India

Abstract


The main aim of this study is to transform the digital images into different forms. Image processing techniques are used with wide varieties of applications. The requirement is different for different applications. This study is mainly focused on how to transform the image using mathematical morphology so that it can be suitable for the respective applications.

Mathematical morphology has been chosen to explain how images are used to illustrate mathematical set theoretic operations, such as union, intersection by means of morphological operations like dilation and erosion.

These techniques are implemented in MATLAB using image processing algorithms. MATLAB is an excellent tool to accomplish these tasks.


Keywords


Image Analysis, Morphological Morphology, Dilation, Erosion, Opening and Closing Operation, Hit-Ormiss Operation, Thinning, Thickens and Gray-Scale.