From 91be023da2aa394df1374614bbb831fb033d4ed0 Mon Sep 17 00:00:00 2001 From: Shikhar03Stark Date: Sun, 11 Oct 2020 15:25:40 +0530 Subject: [PATCH] CV: Image Processing and ML added --- Computer-Vision/README.md | 28 +++++++++++++++++++++++++--- 1 file changed, 25 insertions(+), 3 deletions(-) diff --git a/Computer-Vision/README.md b/Computer-Vision/README.md index 14957d7..0f4cbe0 100644 --- a/Computer-Vision/README.md +++ b/Computer-Vision/README.md @@ -23,9 +23,8 @@ This field is very adventurous but only sticking to API calls of the library wou ## Table of Contents - [OpenCV Installation](#opencv-installation) -- [Image Processing](#) -- [Machine Learning](#) -- [Machine Learning and Image Processing](#) +- [Image Processing](#image-processing) +- [Machine Learning and Image Processing](#machine-learning-and-image-processing) - [Deep Learning](#) - [Youtube Channels to Subscribe](#) - [OpenCV Blogs](#) @@ -40,3 +39,26 @@ The easiest way to get started is with the help of python. You can simply ``pip3 - [OpenCV Installation Guide](https://docs.opencv.org/master/df/d65/tutorial_table_of_content_introduction.html) Getting started with Python with pre-built binaries are recommended for beginners. Using C++ with OpenCV gives a deep access to OpenCV. + +--- + +## Image Processing + +Image processing is Computing technique to manipulate Matrix that contain the intensity values for different color spaces. Understanding how images are actually stored in computer is very necessary. + +[Youtube Playlist for Image Processing](ttps://www.youtube.com/playlist?list=PLd3hlSJsX_ImKP68wfKZJVIPTd8Ie5u-9) + +- Image Processing + - To Encode data in portable format. + - Use of Filters + - Feature extraction methods + +--- + +## Machine Learning and Image Processing + +The use of Machine Learning to Extract freatures from Image is the key step towards Computer vision. + +- Basics of Machine Learning (a solo [Machine Learing](https://www.youtube.com/watch?v=pid0lUH467o&list=PLc2Vt2TeBAU1qT_z48958P97Id7yE--DZ) Course would be preferred ) +- Applying ML to process extracted features +