Earticle

초록

영어

In this paper, we introduce the new method for volume measurement of objects. A machine vision algorithm is developed which estimates human hand volume from two-dimensional digital images that captured from different views. The proposed algorithm is general and can easily be used for other objects. The novelty of our method lies on the use of ordinary devices, simple algorithm for implementation, and high speed in running program. Main idea includes volume measuring by using projection of object image from different views. Error compensation in object detection and feature extraction performed using suitable estimators such as adaptive neuro fuzzy inference system, Support Vector Regression and new fuzzy weighted support vector regression. This new regressor extremely decreases the errors. Ability of the proposed system is studied in volume measurement of cube and human hand.

목차

Abstract
 1. Introduction
  1.1. Nonlinear Regression
  1.2. Related Works on Volume Measurement
 2. The Proposed System
  2.1. Adaptive neuro Fuzzy Inference System
  2.2. Support vector regression
  2.3. Fuzzy Weighted Support Vector Regression
  2.4. Cube Volume Measurement
  2.5. Human Hand Volume Measurement
 3. Experimental Results
 4. Conclusion and Future Work
 References

키워드

저자

• Hadi Sadoghi Yazdi [ Computer Department, Ferdowsi University of Mashhad, Mashhad, Iran ]
• Mahdi Arghiani [ Computer Department, Ferdowsi University of Mashhad, Mashhad, Iran ]
• Ehsan Nemati [ Computer Department, Ferdowsi University of Mashhad, Mashhad, Iran ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605