Abstract:
A new feature descriptor, local auxiliary color
maximum vector pattern (LACMVP) has been proposed in this
paper for image indexing and retrieval. The presented method
synergize the color and texture information by taking a cardinal
(red, green, blue) and an auxiliary channel (value) from two
different color spaces (RGB and HSV). A vector pattern
comprising of magnitude, sign and position patterns are
calculated for the maximum local difference between the center
pixel and its neighbor from the auxiliary channel. In essence
LACMVP converts the image into local vectors along the
maximum edge of the inter-chromatic texture pattern. The
performance evaluation of proposed method has been done by
performing natural image retrieval on Corel-10K and texture
retrieval on MIT VisTex dataset. The results when compared
with existing state-of-the-art techniques using standard
performance evaluation measure like precision, recall, F1-score
and G-score, showed a substantial improvement.
