Object’s Shape Recognition using Local Binary Patterns
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 8
Abstract
This paper discusses the concept of object’s shape identification using local binary pattern technique (LBP). Since LBP is computationally simple it has been utilized successfully for recognition of various objects. LBP which has the potential to be used in various identification related fields was applied on a number of different shaped objects, the process converted the given image in to 3x3 binary matrices and several rounds of computation yields the final decision parameter, which is known as merit function. This parameter was then exploited to uniquely identify the shape of different objects.
Authors and Affiliations
Muhammad Wasim, Adnan Ahmed Siddiqui, Abdul Aziz, Lubaid Ahmed, Syed Faisal Ali, Fauzan Saeed
Keywords
Related Articles
- EP ID EP260442
- DOI 10.14569/IJACSA.2017.080833
- Views 95
- Downloads 0
A Novel Data Aggregation Scheme for Wireless Sensor Networks
Wireless sensor networks (WSN) consist of diverse and minute sensor nodes which are widely employed in different applications, for example, atmosphere monitoring, search and rescue activities, disaster management, untame...
Pause Time Optimal Setting for AODV Protocol on RPGM Mobility Model in MANETs
For the last few years, a number of routing protocols have been proposed and implemented for wireless mobile Ad hoc network. The motivation behind this paper is to discover and study the pause time effects on Ad hoc on D...
Rule Based Artificial Intelligent System of Cucumber Greenhouse Environment Control with IoT Technology
The method proposed here allows control cucumber greenhouse environment based on IoT technology. IoT sensors are to measure the room and air temperature, relative humidity, CO2 content, water supply, liquid fertilizer, w...
Design and Realization of Mongolian Syntactic Retrieval System Based on Dependency Treebank
In the past seven years, Language Research Institute of Inner Mongolia University has constructed a 500,000-word scale Mongolian dependency treebank. The syntactic treebank provides a favorable data platform for language...
Bootstrap Approximation of Gibbs Measure for Finite-Range Potential in Image Analysis
This paper presents a Gibbs measure approximation method through the adjustment of the associated estimated potential. We use the information criterion to prove the accuracy of this approach and the bootstrap computation...