Classification of Textures Using Convolutional Neural Networks
This Master's thesis has concerned the segmentation and classification of background textures in images. In order to segment the images we have used the SLIC algorithm to create superpixels. These are a sort of over segmentation of the image where pixels close to each other and similar in colour are considered to be the same texture. All superpixels were then classified using a convolutional n
