TITLE:
Statistical Tests of Hypothesis Based Color Image Retrieval
AUTHORS:
K. Seetharaman, S. Selvaraj
KEYWORDS:
F-Ratio Test, Welch’s Test, Tests of Hypotheses, Mean Average Precision, Target Image, Query Image
JOURNAL NAME:
Journal of Data Analysis and Information Processing,
Vol.4 No.2,
May
25,
2016
ABSTRACT: This paper proposes a novel method based on statistical tests of hypotheses, such as F-ratio and
Welch’s t-tests. The input query image is examined whether it is a textured or structured. If it is
structured, the shapes are segregated into various regions according to its nature; otherwise, it is
treated as textured image and considered the entire image as it is for the experiment. The aforesaid
tests are applied regions-wise. First, the F-ratio test is applied, if the images pass the test, then
it is proceeded to test the spectrum of energy, i.e. means of the two images. If the images pass both
tests, then it is concluded that the two images are the same or similar. Otherwise, they differ. Since
the proposed system is distribution-based, it is invariant for rotation and scaling. Also, the system
facilitates the user to fix the number of images to be retrieved, because the user can fix the level of
significance according to their requirements. These are the main advantages of the proposed system.