基于水平差集的多精度图像表示及绘制

提出了一种图像的非线性尺度空间表示方法，并将其应用于时间要求严格的场景绘制。首先把图像分解为水平差集，对水平差集的连通分支赋予一个测度，然后根据测度从大到小对所有水平差集的所有连通分支进行排序。绘制进根据所排序依次将连通分支显示出来，根据时间的限制， 显示的将是不同层次细节的图像。这种表示方法具有保形、保对比度的特点。最后，给出了实验结果，并探讨了此方法的局限性及改进方向。

Level Difference Set Based Coarse to Fine Image Representation and Rendering

A nonlinear scale space representation of image is proposed and applied to time critical rendering. First of all, an image is decomposed into level difference sets and the connected components of each level difference set are measured. Then the connected components are ordered by size from large to small. The connected components are displayed in order of size when rendering. The level detail of the displayed image increases as time passes. The method is characterized by shape invariance and contrast invariance. The method is also tested experimentally. Finally, the limit of the method is discussed and the improvement is given.