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.

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