Paper Title
A New Vision-Based Method in Measuring the Object Real Size

Abstract
The focus of this article is on applying the image processing algorithms to calculate the dimensions of 3D objects. Coordinate measuring machine (CMM) is a device applied in measuring the dimensions of a physical object. This device is applied in checking the accuracy of delicately manufactured. In the past, these measuring devices were installed on mechanical robots, but they are now equipped with laser scanners which is a technology used in various industries, including automotive, food, and medicine, to determine the quality as well as to inspect and control the production process. The new measuring approaches are based on machine vision and are more flexible than the previous ones. In this article it is sought to measure the dimensions of objects by applying the machine vision techniques, which reduces the cost of measuring compared to mechanical robots or laser scanners. To measure each object’s size, determining the reference object to begin with is of essence, next, the dimensions of the reference objects will be applied in calculating the other objects’ size. By scanning the image and checking the neighboring pixels of each pixel, the polylines are drawn and by connecting the first point to the last point, the polygon is formed. By having the actual size of the reference object and converting the pixel therein into millimeter, the sides of the target object are calculated. Experimental results indicate that this proposed method can reliably measure the real size of objects, and outperforms its counterparts. Keywords - Object Size, Edge Detection, Accurate Measuring, Polygon Detection, Object Circumference.