Image analysis
The aim of this section is the extraction of information from images. We are going to focus on two cases:
- Image structure
- Object recognition
Image structure
The goal is the representation of the contents of an image using simple structures. We focus on one case alone: image segmentation. We encourage the reader to explore other settings, such as quadtree decompositions.
Segmentation is a method to represent an image by partition into multiple objects (segments); each of them sharing some common property.
In the case of binary images, we can accomplish this by a process of labeling, as we have shown in a previous section. Let's revisit that technique with an artificial image composed by 30 random disks placed on a 64 x 64 canvas:
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