Detection of aorta anatomical structures characterized by various levels of pixel intensity
| Autor: | Ewelina Sobotnicka, Aleksander Sobotnicki, Janusz Wrobel |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies Morphological gradient Segmentation-based object categorization Computer science business.industry Binary image 0211 other engineering and technologies Image processing 02 engineering and technology Image segmentation 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Image texture Region growing Computer vision Artificial intelligence Range segmentation business |
| Zdroj: | MIXDES |
| DOI: | 10.1109/mixdes.2016.7529794 |
| Popis: | The paper discusses image processing which takes into account the split/merge method. Owing to the automation of the method, it was possible to split elongated anatomical structures (the aorta in the case under scrutiny) into sections which consist of regions containing pixels of the same intensity level. The analyzed image was initially processed then filtered, respectively. The segmentation stage, which took place afterwards, was followed by a statistical analysis and interpretation of image features. The paper presents a method of obtaining significant numerical and symbolic information in image processing. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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