Open AccessMorphogenesis Analysis for Digital Image Production with L-System
Author(s) -
Arie Vatresia,
Ferzha Putra Utama
Publication year - 2021
Publication title -
juita : jurnal informatika/jurnal informatika
Language(s) - English
Resource type - Journals
eISSN - 2579-8901
pISSN - 2086-9398
DOI - 10.30595/juita.v9i2.10394
Subject(s) - computer science , digital image , computer vision , artificial intelligence , image (mathematics) , transformation (genetics) , process (computing) , image processing , digital image processing , voronoi diagram , computer graphics (images) , mathematics , biology , geometry , biochemistry , gene , operating system
The process of forming an image requires a correct color composition, location and distance between the lines to produce a good image. Human abilities in both creativity and high imagination are very limited, especially in forming new images by utilizing existing image patterns or images that resemble old images. Here we showed the implementation of L-System to generate new image generations with additional flame as a fire effect/glow on images for image transformation. This research used the L-System algorithm, Iterated Function System, and Voronoi Diagram to improve the result of image transformation. The results of this study indicated that mathematical calculations can be applied in the formation of images and the resulting images can be abstract and symmetrical. The next generation of images produced in this research can be in unlimited numbers as the generation of morphogenesis processes. The process of generating images is carried out randomly by merging the two existing images with morphogenesis analogy. The resulting images can be exported into jpg, png, and svg formats. Furthermore, this research showed that the implementation of the calculation for the variation reach the value of 99.48% while the image variation composition has a value of 99.29%.