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Kumar, Tapas
- A Region Based Segmentation Approach in Binary Image Basedon Cellular Automata
Abstract Views :155 |
PDF Views:3
Authors
Affiliations
1 Lingaya’s University, Faridabad, IN
2 Manav Rachana International University, Faridabad, IN
3 Birla Institute of Technology, Mesra, Ranchi, IN
1 Lingaya’s University, Faridabad, IN
2 Manav Rachana International University, Faridabad, IN
3 Birla Institute of Technology, Mesra, Ranchi, IN
Source
Digital Image Processing, Vol 1, No 1 (2009), Pagination: 13-15Abstract
Segmentation of an image is one of the most difficult processes in the image processing. In this paper we describe an algorithm for region based image segmentation of N- dimensional images using cellular automata. A region-based method usually proceeds as follows: the image is partitioned into connected regions by grouping neighboring pixels of similar intensity levels. Adjacent regions are then merged under some criterion involving perhaps homogeneity or sharpness of region boundaries. The Cellular automata paradigm is considered as a unifying method for image segmentation.Keywords
Image Segmentation, Cellular Automata, Neighborhood Operation, Thresholding.
- A New Evolutionary Algorithm Based on Cellular Automata
Abstract Views :407 |
PDF Views:6
Authors
Affiliations
1 Lingaya's University, Faridabad, IN
2 Department of Information Technology, Manav Rachana International University, Faridabad, IN
3 Department of Informational Technology and MCA, Birla Institute of Technology, Mesra, Ranchi, IN
1 Lingaya's University, Faridabad, IN
2 Department of Information Technology, Manav Rachana International University, Faridabad, IN
3 Department of Informational Technology and MCA, Birla Institute of Technology, Mesra, Ranchi, IN
Source
Automation and Autonomous Systems, Vol 1, No 1 (2009), Pagination: 6-9Abstract
The field of evolutionary computation is itself an evolving community of people, ideas, and applications. To derive a solution of a problem from a population of individuals, over a number of generations, evolutionary computing techniques has been used as an explicit function. In this paper a new evolutionary algorithm, called the CA-EA (Cellular Automata Based Evolutionary Algorithm), is proposed. This algorithm is a combination of evolutionary algorithms and the Cellular Automata (CA). Our motivation here is to discuss how cellular automata techniques can be involved on evolutionary algorithm. A study of cellular automata based evolutionary computation in genetic analysis is an inherent problem. But the key problems of genetic analysis are very sensitive in the detection of fitness cells. Here, we consider an interactive step so as to get a maximum amount of information that can be shared for the best evaluation of individual fitness cell.Keywords
Fitness Analysis, Genetic Algorithm, CA-EA Model, Cellular Automata.- Flight Plan Route Optimization And Increase The Profit In Airline Industry By Using Hybrid BCF Algorithm
Abstract Views :206 |
PDF Views:0
Authors
Affiliations
1 School of Computing Science and Engineering, Galgotias University, IN
1 School of Computing Science and Engineering, Galgotias University, IN
Source
ICTACT Journal on Communication Technology, Vol 10, No 3 (2019), Pagination: 2019-2023Abstract
Airline industry is a booming industry where decisions have to be taken in the dynamic environment. There are many factors which govern the decision-making namely the airline route as considerate amount of profit can be generated by selecting the optimized airline route. The paper proposes a hybrid BCF algorithm which optimizes the flight trajectory and seat allotments. The algorithm specifically optimizes the airline route, seat allotment on a large scale of data set to give the best option to choose in and implement it. The result shows the tremendous variation regarding the net amount there by increasing the profit.Keywords
Hybrid BCF Algorithm, Decision-Making, Optimized, Airline Route, Profit.References
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