Shape-based Interpolation of Grey-level Images

摘要：

The two given gray images are preprocessed, including filtering image processing, on the fault slice image binarization segmentation processing and image of the two distribution centers. Mathematical morphology is used to acquire the contour of the interpolated image. Then, the corresponding points are identified respectively in the two images tbrough calculating the relation between the arbitrary point of contours and the focal point of the angle. If the grey value of both of the corresponding points are close to each other, linear interpolation is used to cakulate the grey value of the interpolated point. But if the two corresponding points have distinct grey value, a method to calculate the interpolated points grey value is presented. Once all points grey value are acquired, the final interpolated image is accomplished. The experimental results show that this new method is effective.

关键词： Image Interpolation Mathematical Morphology 3-D Reconstruction

作者: Qian Jin Song Shuni Wu Jian Feng Nan Shi Datao

作者单位: College of science Northeast University Shen Yang

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 9-12

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）