Open AccessImage mosaicing by using random seeds generation based on fuzzy membership function
Author(s) -
Darius Shyafary,
H Rony,
Rheo Malani,
Anggri Sartika W
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.2.12736
Subject(s) - mosaic , artificial intelligence , image processing , computer vision , computer science , image (mathematics) , fuzzy logic , image texture , fuzzy set , membership function , pattern recognition (psychology) , feature detection (computer vision) , process (computing) , mathematics , geography , archaeology , operating system
A mosaic is a combination of two or more images with various combining techniques. One of the computer graphics applications is the image mosaic used for various purposes such as texture maps and better image backgrounds. One of the important things in making image mosaic is how to create small pieces of the image in such a way that it produces a good image mosaic. A number of methods have been proposed to build an image mosaic system that produces good mosaic results, but it usually requires complicated calculations. Fuzzy image processing is a form of information processing that input and output both images. This is a collection of fuzzy approaches that understand, represent and process their images, segments, and features as a fuzzy set. In this study, fuzzy image processing concept is used to create image mosaic by random seed generation using Fuzzy Membership Function (MF).