The Perfect Roadmap in Image Processing For Beginners (No Wasted Movements)
This is not a tutorial video, but a roadmap of steps in Image Processing for beginners. I shared my journey (6-intense-months-long) in Image Processing so that the new comers can get some of the insights to the field, along with a realistic time frame, and decide for themselves if its worth the time and effort.
OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C++, and Python.
it is Open Source and free. opencv is easy to use and install.
It is so easy to use, that I would go as far as saying that with right resources anyone can master it in no time. But on the other hand, it is equally plausible to get lost in the documentations and end up wasted without any productivity, things will keep you busy but there won't be any productivity.
So let's ensure that you avoid the trap by stepping the first foot in the right direction and in the direction that will be your most valuable asset throughout the journey.
The best order to start your journey in image processing in order to avoid any wasted movements should be by covering the following topics:
1. Introduction to openCV [displaying Images and Videos using imshow()]
https://opencv-python-tutroals.readth...
2. Colour space conversions (eg- RGB to HSV) and applying image thresholding (for object detection): • Object Detection By Thresholding HSV Image...
3. Perspective Transformation using OpenCV: (Google for it, easily accessible)
4. Contours (Part of object detection): https://docs.opencv.org/3.4/d4/d73/tu...
5. Sliding windows: • Ross Kippenbrock - Finding Lane Lines for ...
Have fun working with Image Processing,
Best Wishes!