  Feature means countenance, remote sensing scene objects with similar
characteristics, associated to interesting scene elements in the image
formation process. They are classified into three types in image processing,
that is low, middle and high. Low level features are color, texture and middle
level feature is shape and high level feature is semantic gap of objects. An
image retrieval system is a computer system for browsing, searching and
retrieving images from a large image database. Content Based Image Retrieval is
a technique which uses visual features of image such as color, shape, texture
to search user required image from large image database according to user
requests in the form of a query. MKNN is an enhancing method of KNN. The
proposed KNN classification is called MKNN. MKNN contains two parts for
processing, they are validity of the train samples and applying weighted KNN.
The validity of each point is computed according to its neighbors. In our
proposal, Modified K-Nearest Neighbor can be considered a kind of weighted KNN
so that the query label is approximated by weighting the neighbors of the
query.

Computer Vision and Pattern Recognition