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Computer Vision with Python 3 by Saurabh Kapur

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Segmentation - Understanding Images Better

In the previous chapter, we looked at techniques to find image features that help us describe various objects in the images. We also looked at Haar Cascades that helped us to detect faces in images. An interesting thing about these algorithms was their local nature. All algorithms look at points in their neighborhood to mark a certain pixel as a feature pixel. In this chapter, we will take things a bit further and try to analyze a given picture from a different perspective. We will look at techniques that will help us look at larger regions of the image and draw meaningful conclusions from that. This will help us segment images into regions such as background, foreground, water region, and grass ...

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