Query by Approximate Shapes Image Retrieval with improved object sketch extraction algorithm
| Autor: | Stanislaw Deniziak, Tomasz Michno |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Computer science business.industry 02 engineering and technology Image segmentation Content-based image retrieval Set (abstract data type) Tree (data structure) 020901 industrial engineering & automation Line segment Minimum bounding box Line (geometry) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Image retrieval |
| Zdroj: | FedCSIS |
| ISSN: | 2300-5963 |
| DOI: | 10.15439/2018f279 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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