Extended set of superpixel features
| Autor: | V. V. Sergeyev, Anna Egorova |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
superpixel segmentation
Information theory invariant moments business.industry Computer science 0211 other engineering and technologies Pattern recognition 02 engineering and technology QC350-467 Optics. Light Atomic and Molecular Physics and Optics Computer Science Applications Set (abstract data type) 0202 electrical engineering electronic engineering information engineering polynomial approximation 020201 artificial intelligence & image processing feature Artificial intelligence Electrical and Electronic Engineering Q350-390 business 021101 geological & geomatics engineering |
| Zdroj: | Компьютерная оптика, Vol 45, Iss 4, Pp 562-574 (2021) |
| ISSN: | 2412-6179 0134-2452 |
| Popis: | Superpixel-based image processing and analysis methods usually use a small set of superpixel features. Expanding the description of superpixels can improve the quality of processing algorithms. In the paper, a set of 25 basic superpixel features of shape, intensity, geometry, and location is proposed. The features meet the requirements of low computational complexity in the process of image superpixel segmentation and sufficiency for solving a wide class of application tasks. Applying the set, we present a modification of the well-known approach to the superpixel generation. It consists of fast primary superpixel segmentation of the image with a strict homogeneity predicate, which provides superpixels preserving the intensity information of the original image with high accuracy, and the subsequent enlargement of the superpixels with softer homogeneity predicates. The experiments show that the approach can significantly reduce the number of image elements, which helps to reduce the complexity of processing algorithms, meanwhile the expanded superpixels more accurately correspond to the image objects. |
| Databáze: | OpenAIRE |
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