Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : Ponshankar. B, Swaranambigai. R

Volume 01 Issue o3 March 2014

ISSN no:  2348-3121 

Page No:73-77

AbstractBinary Image processing is extremely useful in object recognition, tracking, motion detection, machine intelligence, image analysis, understanding video processing and identification and authentication systems. Binary image processing (BIP) has been commonly implemented using 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. 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. Nowadays, 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.


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