| The thesis, aims at the recognition of the irregular figures in the long distance medicine teaching system, puts forward to one recorrection system of irregular figures. This system can decrease the wrong judgments in the teaching process and thus can improve the teaching quality. Through computer simulating and testing it in an enterprise teaching system, it is found that the system works well and meets the teaching demands. For triangles and quadrangle, the system adopts the method of least squares to fitting line, and computes angles between two lines, and by angle function to fininsh their classification and recorrection. For circles and ellipses, the system firstly determines the corrdinate of their geometric centre, and secondly uses Hough transform to get their equation, and lastly to finish their classfication and recorrection. |
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