A Method for Hierarchical Description of Images Using Multiscale Analysis
| Autor: | Marcin Inkielman |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
Structure (mathematical logic)
Algebra and Number Theory Computer science business.industry Segmentation-based object categorization Multiresolution analysis Scale-space segmentation Pattern recognition Image segmentation Theoretical Computer Science Image (mathematics) Computational Theory and Mathematics Region growing Computer Science::Computer Vision and Pattern Recognition Computer vision Segmentation Artificial intelligence business Information Systems |
| Zdroj: | Fundamenta Informaticae. 42:129-148 |
| ISSN: | 0169-2968 |
| DOI: | 10.3233/fi-2000-42202 |
| Popis: | The aim of this paper is to present a novel method of image segmentation based on multiresolution analysis. The main idea consists of the extraction of image parts which are coherent and are enclosed by a coherent region classified to another type. Segmentation is processed in two steps. The first, consists of pixel classification into predefined types and the second is detection of the hierarchical structure of an image. The method is presented here on examples being biomedical images but it may be also applied to analyze other types of images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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