A new similarity measure for image segmentation
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 3
Abstract
We try to extract the component image virtually hidden in the principle image. Information theoretic quantities are used to measure similarity of images in a statistical frame work. Statistical method describes the texture in a form suitable for statistical pattern recognition. This is suggested from large primitives and fine structure of smaller primitives. Co-occurrence matrix method is used to edge frequency detection and separation. Here we appeal to the mutual information to bring out the component image from a complete image presentation.
Authors and Affiliations
M. Thiyagarajan , S. Samundeeswari
Keywords
Related Articles
- EP ID EP113525
- DOI -
- Views 204
- Downloads 0
New Design of Crypto-Based Pseudo random number generator (CBPRNG) using BLOW FISH cipher
Random Number Generators (RNGs) are an important building block for algorithms and protocols in cryptography. Random number generation is used in a wide variety of cryptographic operations, such as key generation and cha...
Security of Data Fragmentation and Replication over Un-trusted Hosts Arun Kumar Yadav, Dr. Ajay Agarwal
Data replication technique is used to avoid the fault tolerance and improve the performance .With this initiation of content delivery networks, it is becoming more and more frequent that data content is placed on hosts t...
AGE CLASSIFICATION BASED ON SIMPLE LBP TRANSITIONS
The research related to age estimation using face images has become increasingly important, due to the fact that it has a variety of potentially useful applications. An age estimation system is generally composed of agin...
Fault Tolerance in Real Time Distributed System
In this paper we investigate the different techniques of fault tolerance which are used in many real time distributed systems. The main focus is on types of fault occurring in the system, fault detection techniques and t...
DENSITY DETERMINATION IN MOBILE NETWORK USING CLUSTERING CLASSIFICATION
The quality service in the mobile network is achievable via expanding or sharing the existing mobile infrastructure. The expandability or share ability of the mobile network is to be determined through some valuable meas...