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Image segmentation is an indispensable process in the visualization of human tissues, particularly during clinical analysis of magnetic resonance (MR) images. Both fuzzy set and rough set provide a mathematical framework to capture uncertainties associated with human cognition process. The enhanced fuzzy C-means algorithm (EnFCM) can speed up the segmentation process for gray-level image, especially...
Aiming at the characteristics of the marrow cell image, proposed a new method to calculate local regularity and got a appropriate threshold using multi-fractal spectrum so that accurate edges of different kinds of cells can be detected. Proposed a new genetic clustering algorithm based on entropy to classify the marrow cells. Through the experiences, better result can be attained.
This paper presents a method to locate wire center on performance phantom image to get MTF curve during CT spatial resolution measurement. We get the circular edge of the wire area by automatic threshold segmentation and edge tracking. After that, using Hough transform, we can locate the wire center automatically. Compared with old method, it's immune to noise and more convenient to operate. Experimental...
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