Region Based Image Retrieval Using Ratio of Proportional Overlapping Object
Abstract: In Region Based
Image Retrieval (RBIR), determination of the relevant block in query region is based
on the percentage of image objects that overlap with each sub-block. But in
some images, the sizes of relevant objects are small. It may cause the object
to be ignored in determining the relevant sub-blocks. Therefore, in this study
we proposed a system of RBIR based on the percentage of proportional objects that
overlap with sub-blocks. Each sub-block is selected as a query region. The
color and texture features of the query region will be extracted by using HSV
histogram and Local Binary Pattern (LBP), respectively. We also used shape as
global feature by applying invariant moment as descriptor. Experimental results
show that the proposed method has average precision with 74%.
Author: Agus Zainal Arifin,
Rizka Wakhidatus Sholikah, Dimas Fanny H. P., Dini Adni Navastara
Journal Code: jptkomputergg160043
