RESUMO
Objective To classify and identify several kinds of basic graphics in medicine, and to explore the practical application.Methods The method combining angular points and minimum inertia axis was applied to execute the study.The necessity to draw a minimum inertia axis through the centroid was determined based on the number of the angular points,and the category of the target graphic was judged by comparing its perimeter and area with the theoretical value of the known graphics. Results The method had high recognition rates for simulation and actual graphics, and was irrelevant to the position,scale and rotation of the graphic.Conclusion The method based on angular points and minimum inertia axis gains advantages when used to recognize the tablet and capsule on the platform.
RESUMO
<p><b>OBJECTIVE</b>To propose a new algorithm for medical image segmentation based on Gibbs morphological gradient and distance map (DM) Snake model, which allows identification of the correct contours of the objects when processing medical images with noises and pseudo-edges.</p><p><b>METHODS</b>Gibbs morphological gradient was deduced and the method for image segmentation based on Gibbs morphological gradient and distance map Snake model was presented.</p><p><b>RESULTS</b>This new medical image segmentation algorithm proved to effectively suppress the noises and pseudo-edges when calculating distance map.</p><p><b>CONCLUSION</b>The proposed algorithm is robust for image noise suppression and allows easy implementation in clinical image segmentation without the need of user interventions.</p>