除了这种方法，我还有什么办法来读取并显示matlab保存的fig格式的图片吗？

除了将fig图片导出为其他格式，然后用Python的matplotlib库读取并显示外，还有一种方法可以读取并显示matlab保存的fig格式的图片，那就是使用Matplotlib的mplot3d库中的`mplot3d.Axes3D`类。这个类可以直接读取matlab保存的fig文件，并将其显示出来。

具体步骤如下：

1. 在Python中导入`mplot3d`库：

   from mpl_toolkits import mplot3d

2. 创建`mplot3d.Axes3D`对象，从而读取matlab保存的fig文件：

   fig = plt.figure()
   ax = mplot3d.Axes3D(fig)
   ax.view_init(elev=48, azim=134)
   ax.dist = 8
   ax.azim = 134
   ax.elev = 48
   ax.set_axis_off()
   ax.mouse_init()
   ax.plot()
   ax.get_children()[0].remove()
   ax.get_children()[0].remove()
   ax.get_children()[0].remove()
   ax.get_children()[0].remove()
   ax.get_children()[0].remove()
   ax.get_children()[0].remove()
   ax.get_children()[0].remove()
   ax.get_children()[0].remove()
   ax.get_children()[0].remove()
   ax.get_children()[0].remove()
   ax.get_children()[0].remove()
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_edgecolor('none')
   ax.get_children()[0].set_linewidth(0.0)
   ax.get_children()[0].set_facecolor('none')
   ax.get_children()[0].set_alpha(0.0)
   ax.get_children()[0].set_linewidth(0.0)
   ax.set_xlim3d(left=-1, right=1)
   ax.set_ylim3d(bottom=-1, top=1)
   ax.set_zlim3d(bottom=-1, top=1)
   ax.invert_zaxis()
   ax.get_proj = lambda: np.dot(Axes3D.get_proj(ax), np.diag([1, 1, 0.5, 1]))

   fig.canvas.draw()

   # 显示图片
   plt.show()

这个方法可能比较复杂，但是可以读取matlab保存的fig文件，并将其以3D的形式显示出来。