Using Image Mining to Discover Association Rules between Image Objects

M. Yousif, Hilal

	Using Image Mining to Discover Association Rules between Image Objects
Al-Rafidain University College For Sciences
Article 1, Volume 0, Issue 19, 2017, Pages 168-188
Author
Hilal M. Yousif
Abstract
Data mining, which is defined as the process of extracting previously unknown knowledge, and detecting intersecting patterns from a massive set of data, has been a very active research. Image mining is more than just an extension of data mining to image domain. It is an interdisciplinary endeavor that draws upon expertise in computer vision, image processing, image retrieval, data mining, machine learning, database, and artificial intelligence. Despite the development of many applications and algorithms in the individual research fields cited above, research in image mining is still in its infancy. In this research we proposed a method to find association rules between the objects in images using image mining. The idea of the proposed method is selecting a collection of images that belong to a specific field, after the selection stage we will extract the objects from each image and indexing all the images with its objects in transaction database, the data base contain image identification and the objects that belong to each image with its features. After creating the transaction data base that contains all images and their features we will use the data mining method to associate rules between the objects. This will help us for prediction. The steps of the work include extract objects from images using object extraction and analysis which is a field of image processing. After extracting the object, its value will be normalized and create a suitable data base for image mining to find the frequent item sets between these objects to associate rules between them.
Keywords
Image Mining

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