This video explains the two ways of sorting contours according to the Size or Area using OpenCV. Contour sorting is very useful if in case you are building image detection or image recognition related applications. There are two ways you can sort contours. Number 1 is Sorting by area and number 2 sorting by spatial position. Sorting by area method is useful when you want to extract the large contours representing important parts of an image. It is also in getting rid of small contours thereby reducing the potential noise. On the other hand, sorting by spatial position helps us in sorting characters left or right. . This is the next video in the Python OpenCV Crash Course. Later on, in the upcoming videos, we will see how can we build face detection, object detection types of Computer Vision Projects.

#opencv #size #area

Sorting Contours according to Size or Area OpenCV | How to Sort Contours OpenCV
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