Identification Method Of Bundled Wire Image Processing

At present, almost all steel factories count bundled bar one by one by workers, it is laborious, low effective, and may cause high error. If these factories would import foreign automatic product lines, they will pay much and improve the cost of steel bar dramatically. So, these manufactories desire a cheap, applied counter. From the first of 1990s, by using computer vision, studies of this area had been begun. Although a bit progress had been got since then, there is much to do if it is used at spot in factory. This study is sub study of counter of bundle bar by image processing, taken on by North China University of Technology, sponsored by education committee of Peking city. This study may do some research on theory and the product will be a good future.In this paper, the author tries to count steel bars of each bundle by making use of computer vision. The main research includes the following area: image acquisition, image pre-processing, image segmentation, object recognition. An new segmentation method based on quasi-circular assumption and an new object recognition method based on scanning are present. Owing to the simple addition, subtraction and logic operation, these two methods have real time property. The total CPU time is less than 1 second for an 640*480 pixels image, this can meet on line counting. Both two methods require a good binary image, if there exist concave, the aggregated objects will be segmented and recognized correctly and the error is lower, otherwise, it may give err result. Considering the edge information will give robust segmentation, but the information may contain noise when the object is strongly non-uniformity and the speed decreases.The author pay much time to test the arithmetic on the image photographed by digital camera, so there are much works to do to apply this software in practice.In this paper, not only do we explain our new algorithm, but also we test them by real digital photo, man-made image, video image. Furthermore, we compute and discuss the error and its factors. After consulting many references, this paper presents a fast method to count the steel bar of one bundle.