International Journal of Computer and Communication Technology
Article Title
Abstract
Image retrieval approach by proposing a new image feature detector and descriptor, namely the micro-structure descriptor (MSD). We present a computational model of creative design based on collaborative interactive genetic algorithms. This Paper test our model on floor planning. This Paper guide the evolution of floorplan based on subjective and objective criteria. The subjective criteria consists of designers picking the floorplan they like the best from a population of floorplans, and the objective criteria consists of coded architectural guidelines. The results demonstrate that it is much more efficient and effective than representative feature descriptors, such as Gabor features and multi-textons histogram, for image retrieval.
Recommended Citation
RAMACHANDRAN, V.; Kumari, Y. Sowjanya; and Harini, P.
(2016)
"Image Retrieval System with User Relevance Feedback,"
International Journal of Computer and Communication Technology: Vol. 7:
Iss.
2, Article 5.
DOI: 10.47893/IJCCT.2016.1346
Available at:
https://www.interscience.in/ijcct/vol7/iss2/5
DOI
10.47893/IJCCT.2016.1346
