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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Song Tie-Rui Zheng Wei |
| Copyright Year | 2010 |
| Description | Author affiliation: College of Electronic and Information Engineering, Hebei University, Baoding, China (Song Tie-Rui; Zheng Wei) |
| Abstract | As a lower level of the image processing, image enhancement is the preparatory stage of the image processing. Its target is to improve the visual effects and purposeful emphasis the whole or part characteristic of the graphics in the designated applications to enlarge the difference between the different objects in the graphics. So it can meet the requirement of some special analysis. This paper introduced some representative algorithms of image enhancement: contrast enhancement, histogram equalization, smoothing filter, median filter, the ideal low pass filter, butter worth low filter, the ideal high pass filter, butter worth high filter and homomorphic filter. At last, the enhanced image by use of different methods were threshold segmentation and edge extraction, the results were compared to identify suitable methods for X-ray bone image enhancement algorithms. |
| Starting Page | 384 |
| Ending Page | 387 |
| File Size | 856750 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479573 |
| e-ISBN | 9781424479580 |
| DOI | 10.1109/CMCE.2010.5609966 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Filtering Bone fracture image Fires Filtering algorithms Histogram equalization X-ray Homomorphic filter Image enhancement |
| Content Type | Text |
| Resource Type | Article |
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