An Introduction to Image Classification
Channel: PyCon South Africa
Date: 13/10/2016

Abuobayda Shabat
Abuobayda Shabat http://www.pyvideo.org/video/3929/an-introduction-to-machine-learning-in-python https://2015.za.pycon.org/talks/21/ In this tutorial, two main areas will be covered using Textural Images Dataset: Textural Features Methods: (Grey Level Co-occurrence Matrix(GLCM), Local Binary Pattern(LBP) and Local Directional Pattern(LDP)) Classification using Support Vector Machine (SVM) and Naive Bayes(NB). Both Features Extraction and Classification will be implemented using Python. Texture is a very important factor in computer vision; it represents the first level of spatial properties that can be extracted from digital image. Texture can be defined as relationship between gray level in neighboring pixels.