Color Image Retrieval Method Using Low Dimensional Salient Visual Feature Descriptors for IoT Applications

Algorithm 1

Color information extraction.

	Require: an RGB color image
	Ensure: color feature descriptor
(1)	Take an RGB color image (I) as an input and use the Laplacian operator to process and analyze it. Transform a preprocessed I into an HSV color image.
(2)	Decompose an HSV color image into its H, S, and V components then quantize each one separately to get , and components.
(3)	For color feature representation, construct the probability-based histograms of , , and components, respectively, and accordingly compute the statistical color moments using equation 2.
(4)	Finally the color feature descriptor is obtained by integrating all the computed statistical color moments using equation 3 which can be re-written as