MORPHOLOGICAL IMAGE PROCESSING AND INTENSITY TRANSFORMATIONS

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The newspaper business was one of the pioneers in the usage of digital photographs and was one of the first businesses to do so. It was also one of the first businesses to make use of images, which were first transported by photographs, which were initially delivered by an underwater cable between London and New York. This connection was made between London and New York. These pictures were sent between the two locations on several occasions, making their way between both of them in a back and forth manner. When the Bartlane cable image transmission system was first put into operation in the early 1920s, the amount of time necessary to transfer a picture across the Atlantic was reduced from more than a week to less than three hours. This was a significant improvement over the previous method of transferring pictures. Before, this process had taken far longer. The images were first encoded via the use of specialised printing equipment in order to make them suitable for transmission through cable. Upon the travellers' arrival at their final location, the encoded photos were deciphered and then reassembled. This technique was used to send Figure 1.1, and its replication was carried out with the help of a telegraph printer that had been altered to contain fonts that approximated a halftone pattern. 

作者简介

Sandeep Kumar Davuluri holds a Master of Science degree in Information Technology from Wilmington University in Delaware USA and is pursuing Ph.D. in Information Technology from University of the Cumberlands in Kentucky USA. Apart from being a PhD research student at University of the Cumberlands and also working as Solution Architect at AT&T Chicago. Prior to this worked as Network Engineer at AT&T Chicago. He is a Cisco certified Associate and Professional. He has a background in Computer Science and Information Technology with focus on computer networks, Wireless networks,Cloud, Machine learning, Deep learning, Data Mining, Blockchain, Internet of Things and Artificial Intelligence. He is a journal reviewer and has published research papers in both national and international journals, and is a member of the Institute of Electrical and Electronics Engineers (IEEE). 

Ismail Keshta received his B.Sc. and the M.Sc. degrees in computer engineering and his Ph.D. in computer science and engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 2009, 2011, and 2016, respectively. He was a lecturer in the Computer Engineering Department of KFUPM from 2012 to 2016. Prior to that, in 2011, he was a lecturer in Princess NourahbintAbdulrahman University and Imam Muhammad ibn Saud Islamic University, Riyadh, Saudi Arabia. He is currently an assistant professor in the computer science and information systems department of AlMaarefa University, Riyadh, Saudi Arabia. His research interests include software process improvement, modeling, and intelligent systems.He can be contacted at email: [email protected]

Purvi Makwana, working as Assistant Professor with Smt. K.D.M. Mahila Mahavidyala, affiliated to RTMNU. I have 8+ yrs of experience in the Education Industry. My Qualifications are MBA – Marketing & IT, NET – Management, PG Diploma in Business Analytics.  

Dr. Ashok Kumar working as an Assistant Professor in the Department of Computer Science, Banasthali Vidyapith, Banasthali-304022 (Rajasthan), has about 14 years of teaching experience. He received his M.C.A. degree from GJU University, M.Phil. degree in Computer Science from CDLU University and Ph.D. degree in Computer Science from Banasthali Vidyapith. He has more than 25 research papers in refereed international journals, conferences and three patents in his credit. His areas of research include Image Processing, Machine Learning and Big Data Analytics.  

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