提出了采用数学形态学操作从纸病图像中分割强噪声背景和纸病的方法。
The method of segmenting the background noise and surface defects from the paper images by the mathematical morphology is proposed.
该算法运用图像增强、形态学操作、图像差分法，能快速准确标注出移动的物体及其移动轨迹。
The algorithm can quickly and precisely mark the moving object and its trail by functions of image enhancement, morphological operation, and interframe background subtraction.
分析了数学形态学的位移运算，结合TMS320C32 DSP的流水线操作和I/O并发模式完成了形态学的快速算法。
The displacement operation for mathematical morphology is analyzed . Combined the streamlined operation of TMS320C32 DSP with I/O concurrent mode, a fast algorithm for morphology is carried out.
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