In this paper we introduce a new multiscale shape-based approach for leaf image retrieval.
The leaf is represented by local descriptors associated with margin sample points. Within …

Here, we propose an automatic system to annotate and retrieve images. We assume that
regions in an image can be described using a vocabulary of blobs. Blobs are generated …

This article presents Δ-TSR, an image content representation describing the spatial layout
with triangular relationships of visual entities, which can be symbolic objects or low-level …

The presence of receptors and the specific binding of the ligands determine nearly all
cellular responses. Binding of a ligand to its receptor causes conformational changes of the …

In this paper, the problem of indexing symbolic images based on spatial similarity is
addressed. A model based on modified triangular spatial relationship (TSR) and B-tree is …

We have developed a Triangular Spatial Relationship (TSR)-based computational method
for protein structure comparison and motif discovery that is both sequence and structure …

We have developed an alignment-free TSR (Triangular Spatial Relationship)-based
computational method for protein structural comparison and motif identification and …

Understanding the mechanisms underlying interactions between drugs and target proteins
is critical for drug discovery. In our earlier studies, we introduced the Triangular Spatial …

Development of protein 3-D structural comparison methods is important in understanding
protein functions. At the same time, developing such a method is very challenging. In the last …

Abstract Development of protein 3-D structural comparison methods is essential for
understanding protein functions. Some amino acids share structural similarities while others …