TAILIEUCHUNG - The image stitching method for overlapping paper counting

Stack paper counting has a huge industrial demand in the field of printing and packaging. According to the requirement of real-time high precision for the multi camera system, a new method of image stitching between overlapping papers is presented. | NGHIÊN CỨU KHOA HỌC THE IMAGE STITCHING METHOD FOR OVERLAPPING PAPER COUNTING PHƯƠNG PHÁP ĐẾM TẬP GIẤY XẾP CHỒNG NHIỀU LỚP BẰNG CÁCH GHÉP HÌNH ẢNH Pham Thi Dieu Thuy1 2 Ha Minh Tuan1 2 Nguyen Trong Cac1 Changyan Xiao 2 Email dieuthuy303@ 1Sao Do University Viet Nam 2Ho Nam University China Date received 28 5 2018 Date received after correction 20 9 2018 Release date 28 9 2018 Abstract Stack paper counting has a huge industrial demand in the field of printing and packaging. According to the requirement of real-time high precision for the multi camera system a new method of image stitching between overlapping papers is presented. The solution helped to deal with the rotation angle deviation the scale differences and unobvious characteristics in actual images of the counting instrument. Firstly the ridge two images are acquired. Next the rotating angle is corrected by improved Hough transform method. Afterward the correcting angle is analyzed in the frequency domain eliminate the effects of scale differences. Finally using Zero Mean Cross Correlation ZNCC in the corrected images to get the relevance of local signals between images to locate the overlapping images. In industrial production lines the images of the overlapping papers are very similar. General algorithms can not be applied to it while the counting error will be caused by adding the characteristics with external labels. Traditional image fusion is replaced by locating the overlapping papers in our algorithm which can not only improve the stitching precision without the help of the external tag but also guarantee the real-time performance of the algorithm by using the method of stitching and line detection at the same time. It is verified in experiments that the algorithm can fully meet the requirements of the precision universal and timeliness of the multiple types of paper. Keywords Image stitching overlapping paper location Hough transform frequency domain analysis computer vision. Tóm tắt Đếm .

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