A SURVEY ON CONTENT BASED IMAGE RETRIEVAL SYSTEM
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 5
Abstract
Image mining is a vital technique which is used to mine knowledge from image. This is simply an expansion of data mining. The function of image mining is to retrieve similar image from huge database. The development of the Image Mining technique is based on the Content Based Image Retrieval system. Color, texture, pattern, shape of objects and their layouts and locations within the image, etc are the basis of the Visual Content of the Image and they are indexed. This paper presents a survey on various image mining techniques that are proposed earlier.
Authors and Affiliations
M. Janani , Dr. R. Manicka Chezian
Review of Unmanned Aircraft System (UAS)
Unmanned Aircraft Systems (UAS) is an emerging technology with a tremendous potential to revolutionize warfare and to enable new civilian applications. It is integral part of future urban civil and military applications....
Survey on virtual machine security
Virtualization takes a major role in cloud environment. It is the creation of a virtual (rather than actual) version of something, such as a hardware platform, operating system (OS), storage device, or network re...
Multipurpose Smartcard System
To carry several cards one card can simultaneously be an ID, a credit card, a stored-value cash card, and a repository of personal information such as telephone numbers or medical history. Currently smart card im...
A Dynamic Approach to Optimize Energy in RIP, OLSR and Fisheye Routing Protocols using Simulator
Energy optimization is an essential issue in wireless sensor network that consumes less energy to give optimum performance under low battery power, limited bandwidth and network life time of each node. In this paper, fir...
Determination of optimum coefficients of IIR Digital Butterworth Band-Stop Filter
Infinite Impulse Response(IIR) filter is of recursive type i.e. the present output sample depends on the present input samples, past input samples and past output samples. There are a number of methods available...