GitHub - praitaliya/cbir_using_ffbpnn: Content-based image retrieval (CBIR) is a technique that helps in searching a user desired information from a huge set of image files and interpret user intentions for the desired information. The retrieval of information is based on features of image like colour, shape, texture, annotation etc. In addition, the system with neural network can learn by itself: it can automatically extract features of images during the retrieval phase and can store them as additional information to improve the performance. We propose the system for querying, including efficient graphical user interfaces and efficient retrieval of images.

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Content-based image retrieval (CBIR) is a technique that helps in searching a user desired information from a huge set of image files and interpret user intentions for the desired information. The retrieval of information is based on features of image like colour, shape, texture, annotation etc. In addition, the system with neural network can le…

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Database		Database
Images		Images
proimage		proimage
Fianl.asv		Fianl.asv
Image Classification using Neural Network for efficient image retrieval.pdf		Image Classification using Neural Network for efficient image retrieval.pdf
computeRGBHis.m		computeRGBHis.m
databaseConstruction.asv		databaseConstruction.asv
databaseConstruction.m		databaseConstruction.m
first.m		first.m
gui.m		gui.m
loadDataGUI.asv		loadDataGUI.asv
loadDataGUI.m		loadDataGUI.m
netw.asv		netw.asv
netw.m		netw.m
next.m		next.m
numOf4Neighbors.m		numOf4Neighbors.m
open.asv		open.asv
open.m		open.m
prev.m		prev.m
quantizeRGB.m		quantizeRGB.m
queryDatabaseGUI.m		queryDatabaseGUI.m
re1.txt		re1.txt
run.asv		run.asv
run.m		run.m
vectorDistance.m		vectorDistance.m