Image Categorization Using Texture Features
نویسنده
چکیده
A method for finding all images from the same category as a given query image (termed categorization) using texture features is presented. The hypothesis that two images that are similar in texture are likely to belong to the same category, is examined. A new texture feature termed N M -gram is presented. It is based on theN -gram technique that is commonly used for text similarity. The process of computing an image profile in terms of itsN M -grams is described. Results of experiments on images from various categories are presented. The N M -gram method with three different similarity measures is compared to the results of categorization using other well known texture features and grey level distribution features. The results show that for our test images texture features are suitable for image categorization, andN M -gram based methods are the best overall choice of texture feature for this task.
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