Image features matching using two methods of GLCM and morphology

Abstract

Image matching is one of the significant fields of image processing as the process is recognized as a step of pre-processing which contributes to identification of changes, combination and mosaic of images. Image matching is referred to as a process of overlaying of two or more images of the same scene which were taken under different photographic conditions (i.e. different angles, different times, different sensors and type and nature of the photographed area) and this process registers the reference and perceived images geometrically. The result could be used for registering a wider range of images based on existing features. The innovation in this research is dedicated to separate analysis of texture and color properties and their combination afterwards. Sensitivity study of the introduced matching method is among the major contributions of this innovation as noisy and distorted inputs are applied and then the stability of the introduced matching method applied on this type of data is determined.