What is svm classifier in image processing?



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SVM or Support Vector Machine is a linear model for classification and regression problems. An algorithm that intuitively works on creating linear decision boundaries to classify multiple classes. SVM is fundamentally a binary classification algorithm. Abstract: Support Vector Machines (SVMs) are a relatively new supervised classification technique to the land cover mapping community. In [3] , described the problems of concern in image processing. Here, an SVM approach for multi-class classification was followed, based on primitive image objects provided by a multi-resolution segmentation algorithm.



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