@article{(Open Science Index):https://publications.waset.org/pdf/12857,
	  title     = {Evaluation of Edge Configuration in Medical Echo Images Using Genetic Algorithms},
	  author    = {Ching-Fen Jiang},
	  country	= {},
	  institution	= {},
	  abstract     = {Edge detection is usually the first step in medical
image processing. However, the difficulty increases when a
conventional kernel-based edge detector is applied to ultrasonic
images with a textural pattern and speckle noise. We designed an
adaptive diffusion filter to remove speckle noise while preserving the
initial edges detected by using a Sobel edge detector. We also propose
a genetic algorithm for edge selection to form complete boundaries of
the detected entities. We designed two fitness functions to evaluate
whether a criterion with a complex edge configuration can render a
better result than a simple criterion such as the strength of gradient.
The edges obtained by using a complex fitness function are thicker and
more fragmented than those obtained by using a simple fitness
function, suggesting that a complex edge selecting scheme is not
necessary for good edge detection in medical ultrasonic images;
instead, a proper noise-smoothing filter is the key.},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {4},
	  number    = {7},
	  year      = {2010},
	  pages     = {266 - 269},
	  ee        = {https://publications.waset.org/pdf/12857},
	  url   	= {https://publications.waset.org/vol/43},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 43, 2010},
	}