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Snakes, or active contours, are used extensively in medical image or geographic image processing and analysis. However, initialization problem and concave boundary problem seriously affect the performance of snake model. This paper presents a snake model based on Maximum Gravity Algorithm (MGA), a new global optimization algorithm which has the merits of less individuals, simple calculation, robustness...
The medical image registration method based on mutual information (MI) has the advantage of high precision, and not have to do any pretreatment. However, there may be local matches, or error brings by interpolation calculation, so the objective function contains many local maximums. In this paper, a novel image registration method, called Gravity Optimization (GO), is proposed for rigid registration...
In this paper, a weighted mutual information (WMI) is proposed for medical image registration. Conventional information measures, for example Shannon's entropy and mutual information (MI), are based on the statistical properties of intensity values of images, and float image and reference image are playing same role when calculating their MI. In fact, because the characteristics and the qualities...
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