An integrated algorithm of edge detection of brain surgery CT image
Gao Hong-wei · Electronic Design Engineering · 2011
In order to achieve the three-dimensional reconstruction of the brain,it is the first issue of extracting the edge of two-dimensional image accurately.Several common classic edge detection operators were sensitive to noise,and they were easy to cause a false or discontinuous edge.For this problem,this paper presented a integrated edge detection algorithm,which was based on Canny operator and the combination of image enhancement and mathematical morphology.First,we did a image enhancement to the original images,which was convenient for the computer analysis;then the edge of brain image was extracted by the Canny operator,the operator has two advantages of non-maxima suppression and double-threshold method to connect the edge,but the non-edge point was easily detected the edge,and there was still some edges discontinuity;lastly,the extracted edge was disposed by the expansion of the mathematical morphology method.Experimental result shows that the extracted edge is smooth and continuous,it lay a solid foundation for the three-dimensional reconstruction of the brain in future.