A genetic aproach for automated image generation: grayscale image generation
Source
Issue
Vol. 11, Issue 2 (30 Jun. 2005), pp.393-403, 11 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2005-06-30
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Non photorealistic rendering is a new research field in the areas of computer graphics.
The goal is to give a more natural feel to computer generated images, by simulating various artistic techniques and to give the sense of an image without reproducing it.
In this paper, we present a new evolutionary approach to non-photorealistic rendering of 2D black/white and grayscale images.
The goal is to generate a painting that is close to a given input images.
This problem can be formalized as a high-dimensional optimization problem, with local minima.
We have developed a genetic algorithm that modifies the traditional uniform crossover to spread out vital genes at the expense of lethal genes rather than exchanging them between matting parents.
A vital or lethal gene can be determined via a threshold field associated with each pixel gene that indicates the distance between a chromosome gene and the corresponding input image pixel.
The proposed evolutionary painting framework demonstrates good results and achieves reasonable convergence.
American Psychological Association (APA)
Atiyyah, Bara Ali& Abbud, Aminah Dahim. 2005. A genetic aproach for automated image generation: grayscale image generation. Journal of Engineering،Vol. 11, no. 2, pp.393-403.
https://search.emarefa.net/detail/BIM-360839
Modern Language Association (MLA)
Atiyyah, Bara Ali& Abbud, Aminah Dahim. A genetic aproach for automated image generation: grayscale image generation. Journal of Engineering Vol. 11, no. 2 (Jun. 2005), pp.393-403.
https://search.emarefa.net/detail/BIM-360839
American Medical Association (AMA)
Atiyyah, Bara Ali& Abbud, Aminah Dahim. A genetic aproach for automated image generation: grayscale image generation. Journal of Engineering. 2005. Vol. 11, no. 2, pp.393-403.
https://search.emarefa.net/detail/BIM-360839
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 403
Record ID
BIM-360839