Create Links.md

Chapter01/Links.md

+# Exercise 1.1.1 Image convolution
+
+- Read the image using `skimage.io.imread`
+- For convolution use `scipy.ndimage.convolve`
+- After completing the exercise test agains `scipy.ndimage.gaussian_filter`
+  
+
+# Exercise 1.1.3 Curve smoothing
+
+- Make the matrix using `scipy.linalg.circulant`
+- For matrix-vector multiplication you can use a dedicated function from `numpy` or `@` operator
+  
+# Exericse 1.1.6 Working with volumetric image
+- To get hold of all image in a folder, use `sorted(os.listdir(\<FOLDER NAME\>))`
+
+# Exercise 1.1.7 PCA of multispectral image
+- For eigen decomposition use ` np.linalg.eig`
+- You can compare your PCA agains the existing implementation `sklearn.decomposition.PCA`
+
+# Exercise 1.1.8 Bacterial growth from movie frames
+- To read the movie as a list of images, use following code block
+```python
+import imageio
+import skimage
+
+filename = ...  # filename of the mp4 movie
+vid = imageio.get_reader(filename,  'ffmpeg')
+
+frames = []
+for v in vid.iter_data():
+    frames.append(skimage.color.rgb2gray(v))
+```
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