Paper Info
Title
Query by Approximate Shapes Image Retrieval with improved object sketch extraction algorithm.
Abstract
In this paper a new Content Based Image Retrieval based on a sketch method was proposed. The main idea of the algorithm is based on decomposing an object into predefined set of shapes (primitives): line segments, polylines, polygons, arches, polyarches and arc-sided polygons. All primitives are stored as a graph in order to store the mutual relations between them. Graphs are stored in a tree-based structure which allows fast querying. As an improvement to the algorithm, a conversion to the HSL color space was proposed in order to detect primitives more accurately. Moreover, computing all line slopes in relation to the object oriented bounding box was also proposed. Additionally, in order to better detect objects present in images, the usage of Edge Boxes algorithm was proposed.
Year
DOI
Venue
2018
10.15439/2018F279
Federated Conference on Computer Science and Information Systems
Field
DocType
ISSN
Data mining,Computer vision,Line segment,Polygon,Object-oriented programming,Computer science,Image retrieval,Image segmentation,Artificial intelligence,Content-based image retrieval,Sketch,Minimum bounding box
Conference
2325-0348
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Stanislaw Deniziak14513.20
T. Michno272.87