Verification of Parts Using Digital Image Processing in Machine Vision
M. Surumbarkhuzhali, S. Saravana · 2014
In every company, inspecting the products manufactured at various stages is of great importance. This paper proposes a technique to detect the presence or absence of the parts in various devices. This inspection is done by using template matching and cross correlation in digital image processing. The image of the device which has to be inspected is captured using camera. In the template matching technique, the image of the object to be inspected is compared with a reference image. The reference image is the image which contains all the necessary parts that must be present. Pattern matching can be used to recognize and/or locate specific objects in an image. Correlation provides a direct measure of the similarity between two images. Though sensitive to the scaling or rotation of objects, normalized correlation is robust to changes in lighting. Cross correlation is the basic statistical approach to image registration. It is used for template matching or pattern recognition. Template can be considered a sub-image from the reference image, and the image can be considered as a sensed image. The objective is to establish the Correspondence between the reference image and sensed image. It gives the measure of the degree of similarity between an image and template. Using MATLAB version 7.8.0.347(R2009a) software we obtain the result whether the mobile device can be accepted or rejected. Thus using the Template matching and cross correlation we can detect the presence or absence of the components in the mobile.