Sign in

A Real Problem Solver

S-Track Poster

S-Track Journey


Information Theory:


  1. Logistic Regression
  2. Approaching Logistic Regression with Neural Network mindset

Logistic Regression


  1. Image Classification Using Machine Learning
  2. Image Classification : Machine Learning way vs Deep Learning way

Image Classification


  1. Morphological operations
  2. Exercise to extract the tabular structure in an invoice using Morphological operations

Morphological operations


  1. Basic Image Processing
    a. Rotation
    b. Resizing
    c. Flipping
    e. Cropping
    f. Image Arithmetic

Basic Image Processing

Rotation

FIG 3.1 ROTATE IMAGE BY 45 DEGREE

  1. Loading an Image from Disk
  2. Obtaining the ‘Height’, ‘Width’ and ‘Depth’ of Image
  3. Finding R,G,B components of the Image
  4. Drawing using OpenCV

Loading an Image from Disk:


Pixels are the building blocks of Images :

  1. Grayscale/single channel
  2. Color
Fig 1.1 This Image is 4000 pixels wide and 3000 pixels tall, total = 4000 * 3000 = 1,20,00,000 pixels

BoT

Bay of Tech : ”Affordable technology solutions to everyone” |BoT provides solutions in Industry 4.0 | This space is the perspective page of BoT

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store