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Binary Morphology With Image Compression And Cryptography

Ponshankar B*, Swaranambigai R.**

* ME (Applied Electronics), Jay shriram group of institutions, Anna University, Coimbatore

** Assistant Professor (ECE), Jay shriram group of institutions, Anna University, Coimbatore

Periodicity:September - November'2013
DOI : https://doi.org/10.26634/jele.4.1.2509

Abstract

Binary Image processing is extremely useful in various areas, such as object recognition, tracking, motion detection, machine intelligence, image analysis, understanding video processing, computer vision, and identification and authentication systems. Binary image processing (BIP) has been commonly implemented using processors such as CPU or DSP. However, it is inefficient and difficult to use such processors for binary image processing. High-speed implementation of binary image processing operations can be efficiently realized by using chips specialized for binary image processing. Mathematical morphology(MM) is a nonlinear image processing framework used to manipulate or analyze the shape of functions or objects. Mathematical morphology(MM) is set theory-based methods of image analysis and plays an important role in many digital image processing algorithms and applications, e.g., noise filtering, object extraction, analysis or pattern recognition. The methods, originally developed for binary images, were soon extended and now apply to many different image representations. Real-time image processing systems have constraints on speed or hardware resources. In addition, in embedded or mobile applications, this system consumes low power and low memory. The cryptography involves efficient algorithms related to encryption and decryption.

Keywords

Binary image processing (BIP), Mathematical morphology (MM), encryption and decryption

How to Cite this Article?

Ponshankar, B., and Swaranambigai, R. (2013). Binary Morphology with Image Compression and Cryptography. i-manager’s Journal on Electronics Engineering, 4(1), 11-17. https://doi.org/10.26634/jele.4.1.2509

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Binary Morphology With Image Compression And Cryptography

Abstract

Keywords

How to Cite this Article?

References

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