Spectral Image Enhancement for the Visualization of Dental Lesions
| Autor: | Markku Hauta-Kasari, Arja M. Kullaa, Joni Hyttinen, Anni Riepponen, Pauli Fält, Laure Fauch |
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| Rok vydání: | 2018 |
| Předmět: |
medicine.medical_specialty
Computer science business.industry media_common.quotation_subject Visibility (geometry) 02 engineering and technology Spectral bands 021001 nanoscience & nanotechnology 01 natural sciences Spectral imaging Visualization 010309 optics Wavelength Computer Science::Computer Vision and Pattern Recognition Spectral image 0103 physical sciences medicine Imaging technology Contrast (vision) Computer vision Artificial intelligence 0210 nano-technology business media_common |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319942100 ICISP |
| Popis: | Spectral imaging provides an image of a target over a relatively large number of wavelength bands. With the advances in imaging technology, spectral imaging is becoming increasingly popular in different areas of research. However, as spectral images typically contain more than three wavelength bands, visualization of the spectral data is often challenging. Spectral image enhancement is one approach for creating visualizations of spectral data. In spectral image enhancement, weights are applied to the wavelength bands before computing an RGB-presentation. In this paper, a method for automatic determination of optimal spectral band weights for enhanced visualization of dental lesions (caries and calculus) in extracted human teeth is described. Results are promising as the contrast and visibility of lesions was improved in all studied cases. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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