Abstract: In this paper, we introduce the new method for volume measurement of rigid 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 using projection of object image from different views. Error compensation in
object detection and feature extraction is performed using suitable estimators such as adaptive neuro fuzzy inference
system and support vector regression. Ability of the proposed system is studied in volume measurement of box and
human hand.
Keywords: Image Processing; Volume Measurement; Human Hand; Adaptive Neuro Fuzzy Inference System;
Support Vector Regression.
Volume Measurement of Human Hand by Using Digital Image Sequences