In this paper, image retrieval method based on statistics and projection is presented. At first, images are transferred from the RGB color model to the HSI color model, then images are segmented into sub-images (or blocks) and extract the main hue and main intensity in these sub-images. Images’ main hue and main intensity are projected onto the horizontal and vertical directions, respectively, and four projective histograms were obtained. Finally, the first three central moments are taken as feature as to compute the similarity between images.
Digital Object Identifier (DOI)
Zheng, Xiaofei; Gao, Zhe; and Luo, Wei
"Feature of Statistical Projection Algorithm-based Image Retrieval,"
Applied Mathematics & Information Sciences: Vol. 08:
2, Article 31.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol08/iss2/31