A New Approach of Image Similarity Calculation

Due to fast development of information technology and increasing demand for the picture similarity used in clinical diagnosis, quality control of product manufacturing process and identified pictures, a similarity calculation method with fast, effective, correct relative similarity of two pictures is essential. This study proposes a new image similarity computing method, the method is to divide picture into a limited number of grids and then use Hough Transform to do the features capture among grids and calculate the amount of features and express as a image numeric vector format. By the vector pair comparison of two images, we calculate the distance similarity and the angle similarity and get the average of these two similarities as the relative similarity of two images. The research shows that the accuracy of this new algorithm of picture similarity is 80% as dividing picture into 100 grids. When we increase the more quantity of picture dividing grids, we can obtain the higher accuracy.