veyepar: An Introduction to Image Classification

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Description:	In this tutorial, two main areas will be covered using Textural Images Dataset: <ol> <li>Textural Features Methods: (Grey Level Co-occurrence Matrix(GLCM), Local Binary Pattern(LBP) and Local Directional Pattern(LDP))</li> <li>Classification using Support Vector Machine (SVM) and Naive Bayes(NB).</li> </ol> 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. markdown
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