Image Enhancement with Rotating Kernel Transformation Filter Generated by Bresenham's Algorithm

브레스넘 알고리즘을 적용한 회전커널변환 필터 생성 및 영상의 화질개선

  • 신승원 (건국대 의료생명대 의학공학부) ;
  • 김경섭 (건국대 의료생명대 의학공학부, 건국대 의공학실용기술연구소) ;
  • 이세민 (건국대 의료생명대 의학공학부) ;
  • 송철규 (전북대 공과대학 전자공학부)
  • Received : 2012.04.21
  • Accepted : 2012.05.16
  • Published : 2012.06.01


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.


Rotating kernel transform;Bresenham's algorithm;Noise;Mask;Signal-to-noise ratio


Supported by : 한국연구재단


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