In order to perform a content-based analysis of an image, it is necessary to extract meaningful features from the collection of pixels that constitute the image. Contours, lines, blobs, and so on, are fundamental image primitives that can be used to describe the elements contained in an image. This chapter will teach you how to extract some of these important image features.
In this chapter, we will cover the following recipes:
- Detecting image contours with the Canny operator
- Detecting lines in images with the Hough transform
- Fitting a line to a set of points
- Extracting the components' contours
- Computing components' shape descriptors
