@inproceedings{8c50e3dcbab444afa16b72e57cba37b4,
title = "The similarity of images generated by bag context shape grammars",
abstract = "Shape grammars are a class of grammar in formal language that uses spatial rules to generate images. Shape grammars generate images in a way that is not always regulated. That is, they generate images without considering the similarity between them. This is largely because they are context free. As such, the application of a rule is not controlled during derivation. Bag Context Shape Grammars (BCSGs), a class of shape grammars that uses context to control the application of context free rules during derivation, was used to generate images in a regulated manner. In this paper, we examine the similarity of the images generated by BCSGs. The Spatial Colour Distribution Descriptor (SpCD), a content based image retrieval was used to mathematically check the similarity of the bag context shape grammar generated images. The outcome of this study shows that BCSGs are good for the generation of images that are similar. This type of approach can be useful in the generation of distractor (similar) images for visual password systems and others.",
keywords = "Bag Context Grammar, Formal Language, Image generation, Image similarity, Shape Grammar",
author = "Blessing Ogbuokiri and Mpho Raborife",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2020 ; Conference date: 29-01-2020 Through 31-01-2020",
year = "2020",
month = jan,
doi = "10.1109/SAUPEC/RobMech/PRASA48453.2020.9041054",
language = "English",
series = "2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020",
address = "United States",
}