A Review on Supervised Image Classification
- Country : India
- Subject : Computer Science and Engineering
Keywords : classification, SVM, segmentation, processing, supervised, classifier
Abstract
Image Classification is a part of machine learning and also major topic in image classification task and it helps to classify images with the help of data we extracted from other images. The fundamental aim of arrangement process is to sort all pixels in a computerized picture into a few classes. The main objective is to identify the image and to portray, and to get the data i.e. Grey (or color) values and extraction of feature for future classification of images by creating more classes, which can be used to create a signature file. Using “Supervised Image Classification” (One of the types of Image Classification) and a set of images, we will take some of the random pixels from images into training set and will train the machine using any one of the classifier (Ex: C-Classifier) and will take remaining pixels into the test set and test the classification done by the machine to check whether it can classify images by the given data or not.
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