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中文摘要：
interpolatory 边操作员被用于棉花和苎麻纤维的识别。它的性能为代表性的图象在纤维的边察觉与精明的边操作符比较被学习。除 Gaussian 功能变光滑以外，输入图象被插入内推。边输出的质量被 interpolatory 边操作符改进。它为低分辨率的输入与好连续性生产边输出。好边输出例如 crossmarkings，能清楚地被区分，因此 interpolatory 边操作符对棉花和苎麻纤维的学习合适。而且， interpolatory 边操作符罐头的应用程序紧缩了硬件费用，减少存储并且加快数据传播。
英文摘要：
The interpolatory edge operator is applied to the recognition of cotton and ramie fibers. Its performance is studied in comparison with the Canny edge operator in the fiber＇s edge detection for cross-sectional image. The input image is interpolated other than Gaussian function smoothing. The quality of edge output is improved by the interpolatory edge operator. It produces edge output with good continuity for low-resolution input. The fine edge output, such as crossmarkings, can be distinguished clearly, so the interpolatory edge＇operator is suitable for the study of cotton and ramie fibers. Furthermore, the application of the interpolatory edge operator can cut the hardware cost, reduce the storage and speed up the data transmission.
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