A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Qadir, Fasel
- Cellular Automata Based Study of Spectral Signatures of Dal_Lake Infrared Imagery
Authors
1 Department of Computer Science, Kashmir University, IN
Source
Oriental Journal of Computer Science and Technology, Vol 10, No 2 (2017), Pagination: 276-281Abstract
Among all the water bodies in Jammu & Kashmir Dal Lake has a peculiar significance due to its location in the heart of the capital city Srinagar. Historical studies over last fifteen hundred years indicate a continuous squeezing of the Lake due to different natural and man made interventions. Over this long period, the governance of the land has passed through various wise and ugly human plans besides some slow natural processes. The mathematical modelling of such a dynamics is not an easy task because of the many intervening variables and the difficulty which implies their measurements. On the other hand, during the last decades, the use of Cellular Automata (CA) techniques to simulate the behaviour of linear or non-linear systems is becoming of great interest. This fact is mainly due to the fact that this approach depends largely on local relations and a series of rules instead of precise mathematical formulae. The infrared (IR) satellite imagery can be helpful in identifying the different areas of interest using CA as a tool of image processing. The study will not only separate the areas of interest but also pave a way towards a comprehensive study of all the identified zones using spectral signatures received from the continuous IR imagery of both pre-monsoon and post-monsoon periods in future.
Keywords
Cellular Automata, Image Processing, Remote Sensing, Edge Detection.Full Text
References
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- Pattern Generation of digital Images using Two Dimensional Cellular Automata, Nine Neighborhood Model
Authors
Source
Oriental Journal of Computer Science and Technology, Vol 5, No 1 (2012), Pagination: 9-13Abstract
Creating algorithmic approach for generating patterns of digital images is important and difficult task. Researchers face with many challenges in developing tiling algorithms such as providing simple and applicable algorithm to describe complex patterns. This paper used cellular automata with nine neighbourhood model to generate patterns of digital images. The proposed approach leads to accurate and scalable algorithm for generating patterns of digital images. The results of implemented algorithms demonstrate our approach with a variety of patterns.Keywords
Digital Images, Two Dimensional Cellular Automata, Nine Neighborhood Model.Full Text