The week's pick
Reseach Article
A Survey on Image Mining, its Techniques and Application
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 133 - Number 9 |
| Year of Publication: 2016 |
| Authors: Vaibhavi S. Shukla, Jay Vala |
10.5120/ijca2016907978
|
Vaibhavi S. Shukla, Jay Vala . A Survey on Image Mining, its Techniques and Application. International Journal of Computer Applications. 133, 9 ( January 2016), 12-15. DOI=10.5120/ijca2016907978
Abstract
We know that today’s world is digital world and we have use digital data such as video, audio, images etc. in various fields for various purposes. In present scenario, image plays vital role in every aspect of business such as business images, satellite images, and medical images and so on. Image mining is challenging field which extends traditional data mining from structured data to unstructured data such as image data. The main aim of this paper is to present a survey of the various techniques used for image mining applications. Forests fires are a significant problem. To fight against these disasters, the accurate prediction of forest fire is a crucial issue. The increase in the number of forest fires in the last few years has forced governments to take precautions. If the fire fighters know where the fire will be in sometimes it would be easier for them to stop the fire. Therefore a big need for predicting the fire behavior exists. In this paper various techniques of image mining and different algorithms used to analyze a key event –fire is studied. This paper covers literature survey of image mining techniques and its applications.
References
- Dr. S. Vijayarani and Ms. A. Sakila, "Multimedia Mining Research – An Overview," in International Journal of Computer Graphics & Animation (IJCGA) Vol.5, No.1, January 2015.
- A.Hema, E. Annasaro, "A Survey In Need Of Image Mining Techniques," in International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 2, February 2013.
- A. A. Khodaskar, S .A. Ladhake “Image Mining: An Overview of Current Research,” in Fourth International Conference on Communication Systems and Network Technologies, IEEE 2014
- T.Karthikeyan, P.Manikandaprabhu, "Function and Information Driven Frameworks for Image Mining - A Review" in International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 11, November 2013.
- Deepika Kishor Nagthane, “Image Mining Techniques and Applications”, in International Journal Of Engineering Sciences & Research Technology July, 2013.
- K. R. Yasodha, K.S. Yuvaraj, “A Study on Image Mining Techniques”, In International Journal of Applied, December 2013.
- Prabhjeet Kaur, Kamaljit Kaur, “ Review of Different Existing Image Mining Techniques”, In International Journal of Advanced Research in Computer Science and Software Engineering , June 2014.
- Ji Zhang, Wynne Hsu, Mong Li Lee, “Image Mining: Trends and Developments”, International Workshop on Multimedia Data Mining, 2001.
- Divya T.L, Vijayalakshmi M.N, “Analysis of Wild Fire Behaviour in Wild conservation Area using Image Data mining”,,IEEE,2015
- Divya TL, Vijayalakshmi M.N, “Development of Frame Work for Prediction of Forest Fire and Fire Spread Direction Using Image Mining”,, IJARCCE,2013
- Divya TL, Vijayalakshmi M.N, “Implementation of data mining techniques for Temperature Extraction for forest fire occurrence with Image Analysis”,, IJIRCCE,2013
- Fei Van, Xing Xu, Ning Han, “Identification Method of Forest Fire Based on Color Space”,,IEEE,2010
- Young Gi Byun, Yong Huh, Kiyun Yu, Yong Il Kim, “Evaluation of Graph-based Analysis for Forest Fire Detections”,,IEEE,2005
- Yong Poh Yu, Rosli Omar,Rhett D. Harrison, Mohan Kumar Sammathuria and Abdul Rahim Nik,” Pattern clustering of forest fires based on meteorological variables and its classification using hybrid data mining methods” Journal of Computational Biology and Bioinformatics Research, 2011
- Divya TL, Dr.Vijayalakshmi MN, “Envisagation and Analysis of Air Pollution Caused by Forest fire using Machine Learning Algorithm”,, IRJET ,2015
- Yosio Edemir Shimabukuro, Jukka Miettinen, René Beuchle, Rosana Cristina Grecchi,Dario Simonetti, and Frédéric Achard, “Estimating Burned Area in Mato Grosso, Brazil,Using an Object-Based Classification Method on a Systematic Sample of Medium Resolution Satellite Images”,,IEEE,2015
- Rajasekar Umamaheshwaran, Wietske Bijker, and Alfred Stein, “Image Mining for Modeling of Forest Fires From Meteosat Images“, IEEE Transactions On Geoscience And Remote Sensing, Vol. 45, No. 1, January 2007.
Index Terms
Keywords