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ustc-dia-2022-autumn's Introduction

中科大数字图像分析(周文罡、李厚强等)2022秋季学期复习资料

复习提纲见这里

上课ppt文件夹里有老师原版的ppt,为了方便对应复习提纲我将其合并了一份大PDF

往年试题见这里

不过听说这次考试和往年题目基本没有重复的……祝我好运吧

考完了,10道题里2道不太会做,卷面估计70吧

试卷回忆

  1. 三种采样网格及它们的效率 三角、正方、六边形

  2. 二值图形提取边界 先腐蚀、再相减

  3. 逆滤波在频域如何实现,有什么问题,怎么解决

  4. 图像分割的基本概念 前景和后景分别为 $(\mu_1, \sigma_1)$$(\mu_2, \sigma_2)$ 的高斯分布,其中 $\mu_1>\mu_2+3\sigma_2$ ,求最佳分割阈值点

  5. RGB图像 $I_1$ 的三通道都经过同样的 $y=ax+b(a>0)$ 的变化,形成 $I_2$

    1. HSI的三通道分别是否变化

    2. LBP变了吗,为什么

    3. HOG变了吗,为什么

  6. LBP和HOG如何在位置方面体现图像视觉特征,如何使它们具有旋转不变性

  7. 给了一个贝叶斯网络的图,里面有一个节点 $x$ (寄了,没复习)

    1. 写出它的马尔可夫毯

    2. 证明其条件独立

  8. 列举穷举块匹配算法的问题(至少4个)

  9. 卡尔曼滤波的基本假设和**,粒子滤波算法的**

  10. 一个两层的前馈神经网络的输入、输出、前向传播和反向传播(不会,瞎写了一点)

往年常考的确实没怎么考,原题很少,还是多看PPT多理解,往年卷只能当一当参考,熟悉一下出题的模式

如果你感觉对你有帮助的话可以请我喝杯奶茶^_^

联系方式:可以直接添加issue,或者联系[email protected](平时不怎么看)

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