SYNTHETIC TEMPLATE: EFFECTIVE TOOL FOR TARGET CLASSIFICATION AND MACHINE VISION

Abstract

A process for replacing a voluminous image dictionary, which characterizes a certain target of interest in a constrained zone of effectiveness representing controlled states including scale and view angle, with a synthetic template has been developed. Synthetic template (ST) is a spatial map (grayscale image) obtained by combining the set of zone-specific training images that are ascribed to the target of interest. It has been shown that the solo-template ST correlation filter outperforms filter banks comprised of multiple target-class training images. A geometric interpretation of the basic ST concept is employed in order to further explain and substantiate its properties.

Authors and Affiliations

Kaveh Heidary

Keywords

Related Articles

Backup Communication Routing Through Internet Satellite, WINDS for Transmitting of Disaster Relief Data 

A countermeasure for round trip delay which occurs in between satellite and ground with network accelerator is investigated together with operating system dependency on effectiveness of accelerator. Also disaster relief...

An Approach to Finding Similarity Between Two Community Graphs Using Graph Mining Techniques

Graph similarity has studied in the fields of shape retrieval, object recognition, face recognition and many more areas. Sometimes it is important to compare two community graphs for similarity which makes easier for min...

Analysis of IPv4 vs IPv6 Traffic in US

It is still an accepted assumption that internet traffic is dominated by IPv4. However, due to introduction of modern technologies and concepts like Internet of Things (IoT) IPv6 has become the essential element. So keep...

User based Recommender Systems using Implicative Rating Measure

This paper proposes the implicative rating measure developed on the typicality measure. The paper also proposes a new recommendation model presenting the top N items to the active users. The proposed model is based on th...

Efficient Load Balancing in Cloud Computing using Multi-Layered Mamdani Fuzzy Inference Expert System

In this article, a new Multi-Layered mamdani fuzzy inference system (ML-MFIS) is propound for the Assessment of Efficient Load Balancing (ELB). The proposed ELB-ML-MFIS expert System can categorise the level of ELB in Cl...

Download PDF file
  • EP ID EP146697
  • DOI 10.14569/IJACSA.2013.041005
  • Views 100
  • Downloads 0

How To Cite

Kaveh Heidary (2013). SYNTHETIC TEMPLATE: EFFECTIVE TOOL FOR TARGET CLASSIFICATION AND MACHINE VISION. International Journal of Advanced Computer Science & Applications, 4(10), 22-31. https://europub.co.uk/articles/-A-146697