Abstract:
In this paper, we propose a novel feature
extraction and retrieval technique for medical images. Our
proposed technique (LPVCoP) extracts similarity between
grayscale images by using the relationship between reference
pixel and its surrounding neighbor pixels through peak/valley
edges which are obtained by taking directional derivatives.
LPVCoP uses the co-occurrence among the first-order
directional derivatives of reference pixel and second
neighborhood adjoining pixels. The working of the proposed
technique has been checked by implementing it in MATLAB and
verifying the result on Computer Tomography (CT) databases.
The retrieval results of the proposed technique are compared
with the existing technique of image retrieval in terms of average
retrieval rate (ARR) and average retrieval precision (ARP). The
retrieval results of the LPVCoP are better as compared to the
existing techniquesfor image retrieval.
