Using MATLAB code.
Senthur! Use shape features such as Fourier or moments (Hu, Zernike, complex moments) for training the SVM classifier.
Extract some features (shape descriptors for the binary image, HOG etc. for the color or gray scale) for each image taken for training and store them in a feature vector. Test the rest images using the same features.
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Hello everyone What is your opinion about the introduction of an expert decision support system in which the rules are extracted from existing data without human intervention, instead of being...
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Hello, colleagues. Recently, I have been working on a metal processing simulation with my UMAT in Abaqus. I have outlined the corresponding simulation, but I keep encountering issues that cause...
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Machine Learning
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// interested in the difference between floating events and short circuits.
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