|International Computer Science and Engineering Society (ICSES)|
ICSES Transactions on Image Processing and Pattern Recognition
Vol. 4, No. 4, Dec. 2018
A Review and Comparative Analysis on Image Mining Techniques | Book Chapter of Image Segmentation: A Guide to Image Mining
Vikramsingh Parihar a,, Roshani Nage b, Atul Dahane c
Highlights and Novelties
This paper presents the analysis and comparison of existing literature relevant to various image mining process and the mechanisms associated with it. Though, the literature consists of a lot many research contributions, but, here, we have critically and exhaustively analyzed around forty research and review papers. Based on the basic concepts used in their mechanisms, the existing approaches are categorized into three types, image analysis and pattern recognition related work, image mining through various approaches, and graph theory based related work in image mining. The emphasis is on the concept used by the concerned authors, the database used for experimentations and the performance evaluation parameters. The claims of the researchers are also highlighted. Our findings from the exhaustive literature review are mentioned along with the identified problems. This paper is very important for the comparative study of various image mining approaches which is prerequisite for solving image mining problem.
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors.
Cite this manuscript as
Vikramsingh Parihar, Roshani Nage, Atul Dahane, "A Review and Comparative Analysis on Image Mining Techniques ," in Image Segmentation: A Guide to Image Mining, 1st ed., ITIPPR: ICSES, 2018, pp. 51-60.
For External Scientific Databeses
Written by: Admin | Link ...