| dc.description.abstract | Image enhancement is needed because not all images have good
quality, such as noise, too low contrast or blurry image. These problems are
commonly found in images generated from infrared cameras, therefore this study
uses infrared imagery as an image to be corrected. The method that will be used
to improve the image, namely Cellular Automata method. The edge detection
using the Prewitt operator will be used as the initial state of Cellular Automata
cells. The results obtained from this research is Cellular Automata method can
improve the quality of infrared image well. Visually, the Cellular Automata
method successfully improves image contrast and retains the infrared image
detail so as not to reduce the value of information from the image. Calculated
using the Linear Index of Fuzziness, the results of the Cellular Automata method
are better only on some imagery only when compared to the Histogram
Equalization mode. | en_US |
