| Title |
Image Enhancement with Rotating Kernel Transformation Filter Generated by Bresenham's Algorithm |
| Authors |
신승원(Shin, Seung-Won) ; 김경섭(Kim, Kyeong-Seop) ; 이세민(Lee, Se-Min) ; 송철규(Song, Chul-Gyu) |
| DOI |
https://doi.org/10.5370/KIEE.2012.61.6.872 |
| Keywords |
Rotating kernel transform ; Bresenham's algorithm ; Noise ; Mask ; Signal-to-noise ratio |
| Abstract |
It is quite important to improve the visual acuity of a medical image by suppressing noisy parts and simultaneously keeping the details of signal components to draw the accurate diagnostics. With this aim, we suggest a novel method to generate Rotational Kernel Transformation (RKT) filter mask with applying Bresenham's algorithm and implement an nonlinear filtering algorithm to eliminate noises. As a result, we can find the fact that RKT filter mask can be automatically created and the visual acuity of a corrupted image can be elevated in terms of the signal-to-noise ratio (SNR) with applying the RKT filter. |