Searching image database based on content

The modern age is characterized by great professional and private multi-media production of which the largest percentage are images. Search a large number of images from the user´s perspective is almost always based on content. The aim of this work is to create a database search algorithm for images that is content based. Starting from the features matrix, algorithm is based on working with color, texture and shape. Using the five characteristics of color, four characteristics of texture, and one feature for shape, the initial group of images, by applying different levels of ranking and reduction, are reduced to a small number of representative images in relation to query image. Using a neural network model and the group obtained images, the result obtained by artificial intelligence is shown to the user. Interaction with the user, in every iteration, search result can be further filtered or modified in accordance with selected images.