Comparison of Quality Measurement Methods for Geometrically Transformed Images Matching

Abstract

Quality assurance for image matching is the main concern for researchers, especially when it comes to Transformed Images for multidisciplinary fields such as remote sensing, military, security, medicine, and multimedia fields. Based on this, there have been many challenges to the application of image technology. Image matching gets more complicated based on the geometric transformation because the image will lose its edges and make it harder to determine the local invariant features. Related studies were applied for different methods, and few attempted to compare the quality measurement. In this paper, we assessed some quality measurement methods to find out how they are affected by the geometric transformation in the matching process and how these methods can detect the difference between the matched images. We have achieved a significant result that would help in choosing the best method for quality measurement.