TY  - JOUR
T1  - Comparison of Traditional Morphology and Fuzzy Watershed Transformation in Medical Image Segmentation
AU - Latha, R. AU - Sentil Kumar, S. 
JO  - International Journal of Soft Computing
VL  - 9
IS  - 4
SP  - 194
EP  - 199
PY  - 2014
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2014.194.199
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2014.194.199
KW  - Cardio angiography
KW  -blood vessel
KW  -edge detection
KW  -fuzzy watershed transformation
KW  -morphology
KW  -segmentation
AB  - In this study, an algorithm using traditional morphology for 
  the extraction of blood vessels in cardio angiographic images is compared with 
  that of the fuzzy watershed transformation. Blood vessels usually have poor 
  local contrast and the existing Edge Detection algorithms do not give better 
  results. In traditional morphology, an edge detection operation based on laplacian 
  of Gaussian is performed but in fuzzy morphology, a fuzzy morphological multigradient 
  watershed transformation is carried out to extract the boundary of vessels. 
  In fuzzy watershed transformation, the marker extraction of the gradient image 
  is obtained by a thresholding technique to avoid over segmentation and given 
  as input to the watershed transformation. Finally, a set of alternating filters 
  are used to segment the vessels from the cardiac images in both the methods. 
  Simulation results show that the proposed algorithm using fuzzy watershed transformation 
  produces better segmentation result on the basis of quality and takes less execution 
  time when compared to the algorithm using traditional morphological filters.
ER  -