A De novo approach for automatic volume and mass estimation of fruits and vegetables
A De novo approach for automatic volume and mass estimation of fruits and vegetables
复制标题
自动估算水果和蔬菜体积和质量的从头方法
DOI:
10.1016/j.ijleo.2019.163443
复制
发表时间:
2020
期刊:
影响因子:
3.1
通讯作者:
B. Sarkar
中科院分区:
文献类型:
--
作者:
Susovan Jana;R. Parekh;B. Sarkar
Fruit and vegetable quality grading is a major task for successful marketing in the agricultural industry. There are many criteria to determine the quality of fruits and vegetables out of which volume and mass estimation are important ones. The current processes of volume and mass estimation have some drawbacks while considered for a large number of fruits and vegetables in the agricultural industry. These drawbacks are the requirement of highly efficient manual resource and long time. The manual processing is sometimes destructive in nature for fresh fruits and vegetables. An automated and non-destructive technique based on image analysis may alleviate the problem to a certain extent. Computer vision-based solution became challenging for irregular shaped fruits and vegetables from a single view image. This paper addresses the challenges by using an innovative split and merge technique. The input image has been passed through a few pre-processing stages to reduce the noise as well as segment the object from the background. Then the segmented object has been split into two separate objects along the major axis. The valid boundary points are extracted and subsequently approximated by a polynomial expression for each part. The volume is extracted by integrating the polynomial. The volumes from the parts are summed to get the volume of entire fruit or vegetable. Mass is computed by using the density, mass and volume relationship.