Abstract
A concept of granular computing employed in intensity-based image enhancement is discussed. First, a weighted granular computing idea is introduced. Then, the implementation of this term in the image processing area is presented. Finally, multidimensional granular histogram analysis is introduced. The proposed approach is dedicated to digital images, especially to medical images acquired by Computed Tomography (CT). As the histogram equalization approach, this method is based on image histogram analysis. Yet, unlike the histogram equalization technique, it works on a selected range of the pixel intensity and is controlled by two parameters. Performance is tested on anonymous clinical CT series.
| Original language | English |
|---|---|
| Pages (from-to) | 129-141 |
| Number of pages | 13 |
| Journal | Computerized Medical Imaging and Graphics |
| Volume | 65 |
| DOIs | |
| Publication status | Published - Apr 2018 |
Keywords
- Computed tomography
- Cumulative histogram
- Granular computing
- Histogram analysis
- Histogram equalization
- Image enhancement
- Image histogram
- Image processing
- Intensification of gray levels
- Justifiable granular computing
- Median
- Weighted median
ASJC Scopus subject areas
- Radiological and Ultrasound Technology
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Health Informatics
- Computer Graphics and Computer-Aided Design
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