Image Thresholding or Binarization OpenCV | Adaptive Thresholding Image Processing

This video titled "Image Thresholding or Binarization OpenCV | Adaptive Thresholding Image Processing" explains the concept of Image Thresholding or Binarization using OpenCV. It also explains the variant of it know as Adaptive Thresholding. The video also shows the implementation image thresholding using Python's OpenCV. Image Thresholding concepts are heavily used in computer vision related applications or products so it is going to be key to understand these concepts. So what is image thresholding or binarization? It is a way to create a binary image from the grayscale or full-color image. This is typically done in order to separate "object" or foreground pixels from background pixels to aid in image processing. 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.

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#ImageThresholding #AdaptiveThresholding #ComputerVisionProjects

[TheAIUniversity]

Trivia question from the video: State True or False - One of the Threshold type in OpenCV is THRESH_BIN

[ganeshram]

No it is not an answer. There is cv2.THRESh_BINARY or THRESH_BINARY_INV