المجلة الدولية للعلوم والتقنية

Big factories of one million products or more a day have determined standards and measurements apply to every product. That is on basis of one original piece identical to it. Thus, the threshold was chosen to clarify the uniformity and the shape of the images throughout the contour to be raw format for the last produced image. The probability of that if the image has been through compression, which are zonal and amplitude compression, should be considered by taking the MSE according to the compression percentage. The results of the assumption would be clear in the image due to the threshold applied. Every time the value of shape and the uniformity closed to one, the image can be considered as standard. The standard are taken by considering the contour of every image if the pixels of the frame of the produced image close to the frame of the original image, which makes it possible to be taken as standard for the other images. This can be done through the MATLAB. We have used five images of similar type “Bmp” and obtained the threshold of every image and their contour. In addition, we have applied different types of transform, approximately five of them, and they are Dct2, Fft2, Random, and Fanbeam. We also have two types of compression, namely, zonal and amplitude, in addition to taking MES then we have put the obtained values in tables and also representing the values in graphs with the compression ratio of about 10%-50%.