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many of us are challenged with classification tasks in images we may want to identify cancer in a medical scan or find defects in a product before we can experiment with classifiers we need to find a good data representation we may want to extract features that highlight relevant characteristics in our application very often we need to learn from local texture information as we can Leverage The spatial connectivity of the pixels and this tutorial we will focus on extracting local image features and illustrate why it is important first we need to bring our image in the Matlab workspace letamp;#39;s consider this single band image of a microscopic particle in per class images are represented by SD data objects that contain image data and all related information such as labels we can create such data set using SD image command provided with a Matrix S the image opens a new Interactive figure with an extra SD data option as the image returns a new data set with image data this dat
