A Survey on Image Mining Techniques for Image Retrieval
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 7
Abstract
Image mining is an expansion of data mining in the field of image processing. Image mining handles with the hidden knowledge extraction, image data association and additional patterns which are not clearly gathered in the images. It is an interdisciplinary field that incorporates techniques like Image Processing, Data Mining, Machine Learning, Database and Artificial Intelligence. The most important function of the mining is to generate all significant patterns without prior information of the patterns. This paper presents a survey of various image mining techniques
Authors and Affiliations
J. Priya , Dr. R. Manicka Chezian
Keywords
Related Articles
- EP ID EP146558
- DOI -
- Views 62
- Downloads 0
Data-warehousing on Cloud Computing
Our everyday data processing activities create massive amounts of data.Cloud Computing has emerged as a new paradigm for hosting and delivering services over the internet. Cloud computing is attractive to busin...
Analysis and Experiment of MEMS based Micropump for Microfluidic Application
In this paper, we have addressed the issues related to the design and simulation of MEMS based silicon micro-needles for insertion of fluid into the dermis and subcutaneous fat layer of human skin. Microelectromechan...
AN EFFECTIVE METHODOLOGY FOR MINUTIAE BASED FINGERPRINT MATCHING USING SINGULARITIES INDEXING
Fingerprint is one of the most significant and traditional biometric trait and its uniqueness are exclusively determined by the local ridge characteristics and their relationships. However, in existing system,...
ADAPTIVE SHARING METHOD FOR MULTIPLE CONTINUOUS QUERY
As the data management field has diversified to consider settings in which queries are increasingly complex, statistics are less available, or data is stored remotely, there has been an acknowledgment that the trad...
AUTOMATIC IMAGE ANNOTATION USING WEAKLY SUPERVISED GRAPH PROPAGATION
Weakly supervised graph propagation is a method to automatically assign the annotated labels to semantically derived a semantic region. Inputs given are, the training images directory, the labels which are pre-ass...