This book gives a detailed investigation of a supervised image segmentation task using Support Vector Machine (SVM). Support vector machine is considered a good candidate because of its good generalization performance, especially when the number of training samples is very small and the dimension of feature space is very high. An SVM based system constructs a hyper-plane in a higher or infinite dimensional space, which can be used for classification, regression, and other tasks. At first, features are extracted from the training images and class labels are assigned accordingly. Using those...
This book gives a detailed investigation of a supervised image segmentation task using Support Vector Machine (SVM). Support vector machine is conside...
