An Introduction to Image Classification скачать в хорошем качестве

An Introduction to Image Classification

Abuobayda Shabat Abuobayda Shabat http://www.pyvideo.org/video/3929/an-... 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.