Contain Based Image Retrieval

Contain Based Image Retrieval

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Description

Project retrieve similar images from set of databases, project implements 6 retrieving algorithms.

Database contains the 5/6 groups of images, which can be dynamically increase or decreases by user. The features extracted for each image and store for further training and testing purpose.

Euclidean distance, neural network, k-means, fuzzy-k-means, neighbor distance, global distance   algorithms are used for image retrievals.