The information content of X-ray CT images and its application in image analysis
| Autor: | T. Lei, Z. Zhao, W. Sewchand |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Image Series
Image quality business.industry Autocorrelation X-ray Pattern recognition Image (mathematics) Computer Science::Hardware Architecture Signal-to-noise ratio (imaging) Computer Science::Computer Vision and Pattern Recognition Frequency domain Content (measure theory) Artificial intelligence business Mathematics |
| Zdroj: | IEEE Conference on Nuclear Science Symposium and Medical Imaging. |
| Popis: | The performance of image analysis depends on the quality of the image. A good image-quality criterion is the theoretical information content (IC) defined by C.E. Shannon. Shannon's formula is valid on some preconditions. The authors validate the use of these conditions for X-ray computed-tomography (CT) images. The definitions of IC (region-based and image-based) for a single image and for image series are given, and the corresponding formulas are derived. The applications of IC and its formula in image analysis are also demonstrated. > |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|