The Research And Applcation Of Image Matching

Image matching is an important research topic in the fields of computer vision and image processing. An intensive study and a great deal of work has been done to study image matching in this paper. Nowadays, there are many methods of image mathching has been done, but image mosaic technology is always researched by the people all the time.During the recent 20 years, the image mathing has developed to be a technique of Pattern Recognition, which achieves human ability of visual cognition and comprehension by modern information processing and computer technology. Image matching principally completes images classification according to feature extraction, diffusely applied to kinds of fields including character recognition, fingerprint identification, remote sensing, medical diagnosis, industrial products test, satellite photos and aerial photographs interpretation and so on. With the large of experiment, this method shows the better performance than the NMI feature.Image matching methods cover two categories: one is based on the gray, the other is feature. There are kinds of method of image matching being describing in this paper, and do the experiment for some classical and mature methods. Based on the gray method, this paper mainly focuses on the study of Moment Invariants, which can deal with the images existing shift and rotation well.In this paper, the system gets original information by image sensor, which avoid direct contact with objects being processed and manual inspection. So this system can meet the requirement that industrial parts should be inspected on-line. The experiment result indicates, if applying this system to industrial production line can improve the productivity and guarantee the quality of products.