Binary Morphology With Image Compression And Cryptography
B Ponshankar · i-manager’s Journal on Electronics Engineering · 2013
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. 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.