Detecting changed areas in images from different view points

This paper is about a method to extract changed areas in images from different viewpoints using image processing techniques.It approximates or even outperforms previously proposed schemes with regard to inexpensive, descriptive and efficient, and a much faster image comparison method that can be computed and compared. A recent report on discolouration of world heritage Sigiri frescoes revealed that there is no proper method in Sri Lanka to identify the discolouration and distortions that may occur on archeologically valuable pictures. Although many feature detection and feature matching methods are available, these methods do only one to one feature matching whereas archaeologists need the whole image for comparison. Simplifying these methods to the essential images can give equal geometrical elevation using homographic transformations. Then image subtraction methods can be applied from this subtraction outcome to identify the areas that are different from the image referred to. The approach in this project is to identify the differences between the different view point images by comparing the image of the object with the image referred to in spite of huge or small colors gaps remaining between the original and the new image and without considering the camera, the light conditions and age difference between images.