You must have heard a famous quote saying “a picture is worth a thousand words” and in recent years, Image processing has already begun to move our world. You can find a number of applications in almost every field like medical, Engineering, Agriculture, Security etc. So, it’s worth putting your efforts to learn image processing.
What is on this blog?
In this blog, you will not only learn the theory behind fundamental image processing tasks but will also learn how to perform these key processing tasks in practice using Python OpenCV.
Who should read this blog?
This blog is for everyone. The only thing you need is a little bit knowledge about maths(Linear Algebra) and python.
- Installing Python OpenCV and other libraries.
- What is a digital image?
- Greyscale and Color Image
- Bayer Filter
- Image Demosaicing or Interpolation methods
- Color Models
- Image Enhancement
- Arithmetic operations for image enhancement
- Intensity Transformation
- Image Histograms
- Extracting and Saving Video Frames using OpenCV-Python
- Creating Video from Images using OpenCV-Python
- Creating a window recorder using OpenCV-Python
- Create own image using Numpy and OpenCV
- Changing Video Resolution using OpenCV-Python
- Object Tracking Using Color Models OpenCV-Python
- Creating Subplots in OpenCV-Python