Weight Estimation through Image Analysis
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : Radhamadhab Dalai, Kishore Kumar Senapati|
|DOI : 10.14445/22312803/IJCTT-V49P111|
Radhamadhab Dalai, Kishore Kumar Senapati "Weight Estimation through Image Analysis". International Journal of Computer Trends and Technology (IJCTT) V49(2):71-75, July 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Automation system or robotic system depends upon surveillance based camera which captures images from all around view. From these multiple view the image object’s dimension can be calculated. A number of research work has been progressed on this area based upon 2-D images using different techniques. In this paper from multiple views (side view and top view) of a single image taken by handheld camera or surveillance camera the weight of an object is calculated. In Pouladzadeh et al.`s work  the food items weight have been estimated by segmentation process. But in the case of cast iron or steel bar produced from refactory. While wielding in production line they need to be placed in proper assembly channel according to their weight. In this case it is impossible to calculate the weight of bars using simple weighting machine. In such case the weight can be approximated using image analysis technique. In our paper the image segmentation based technique has been applied and using dimension of the image object weight has been calculated using density based formula. The density for different object has been stored in different location. It was observed through experimental process, an average of 92%-94% success has been achieved for various object targets.
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Image Processing, Segmentation, Side View, Top View, Clustering, Weight Estimation, Image weight, Mobile Image, Scaling Factor, Grid Area.