Open AccessMeasuring Size of an Object using Computer Vision
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f1086.0486s419
Subject(s) - object (grammar) , property (philosophy) , computer vision , computer science , metric (unit) , artificial intelligence , pixel , identification (biology) , value (mathematics) , image (mathematics) , computer graphics (images) , engineering , philosophy , operations management , botany , epistemology , machine learning , biology
In our research paper, the original size of an object present in an image is calculated. The choosed algorithms are used computer vision are carried out, it includes basic tools that are efficient enough to find the size of an object. In this project, we proposed the measuring of dimensions of an objects present in the picture and the distances between the objects is computed. Computing the measurements of the objects in a picture is similar to finding the distance to an object from the camera. First of all, we have to find the value of pixels per a given metric. To find this value, we have to select one reference object from the image by considering two major properties. First property is that dimensions (width & height) of the reference object should be known and in terms of (inches or mm) and the other property is that identification of the reference object should be easy