Title :
Classifying Textile Designs Using Bags of Shapes
Author :
Jia, Wei ; McKenna, Stephen J.
Author_Institution :
Sch. of Comput., Univ. of Dundee, Dundee, UK
Abstract :
The use of region shape descriptors was investigated for categorisation of textile design images. Images were segmented using MRF pixel labelling and the shapes of regions obtained were described with generic Fourier descriptors. Each image was represented as a bag of shapes. A simple yet competitive classification scheme based on nearest neighbour class-based matching was used. Classification performance was compared to that obtained when using bags of SIFT features.
Keywords :
Fourier transforms; image classification; image matching; production engineering computing; textile industry; textiles; bags of SIFT features; bags of shapes; generic Fourier descriptors; nearest neighbour class-based matching; region shape descriptors; textile design image categorisation; textile design image classification; Accuracy; Image segmentation; Kernel; Labeling; Pixel; Shape; Training; Markov random field; classification; region segmentation; shape descriptors; textile design;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.81
