An Examination of Image Mining: Approaches, Techniques, and Application


Authors : Dr. Glory Sujitha Antony; Amala Deepan Arulanandham

Volume/Issue : Volume 9 - 2024, Issue 1 - January

Google Scholar : http://tinyurl.com/yabt92t8

Scribd : http://tinyurl.com/4t5szx86

DOI : https://doi.org/10.5281/zenodo.10628880

Abstract : Image mining, encompassing Image processing, Databases, Data mining, Machine learning, and artificial Intelligence, is primarily focused on the extraction of patterns from extensive collections of images. Despite the considerable amount of research conducted in these domains, challenges persist within the field of image mining. For example, data mining techniques are unable to automate the extraction of information from large sets of images. Within this paper, we explore a comprehensive approach to extract data based on the existing body of research. This paper aims to assist readers interested in gaining insights into current image mining techniques and advancing their knowledge extraction from substantial image datasets within this domain.

Keywords : Data Mining, Image Processing, Neural Network, Machine Learning, Image Mining, Image Classification, Image Clustering, Image Pre-Processing, And Content-Based Image Retrieval (CBIR).

Image mining, encompassing Image processing, Databases, Data mining, Machine learning, and artificial Intelligence, is primarily focused on the extraction of patterns from extensive collections of images. Despite the considerable amount of research conducted in these domains, challenges persist within the field of image mining. For example, data mining techniques are unable to automate the extraction of information from large sets of images. Within this paper, we explore a comprehensive approach to extract data based on the existing body of research. This paper aims to assist readers interested in gaining insights into current image mining techniques and advancing their knowledge extraction from substantial image datasets within this domain.

Keywords : Data Mining, Image Processing, Neural Network, Machine Learning, Image Mining, Image Classification, Image Clustering, Image Pre-Processing, And Content-Based Image Retrieval (CBIR).

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