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TMS320C32DSP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.
减背景操作后，用形态学方法和检测连通域面积进行后处理，消除噪声和背景扰动带来的影响；
After the threshold operation, morphologic operation and connected region area measurement are introduced to solve the background disturbance problem.
利用形态学的基本操作提取活体细胞的初始轮廓，运用活动轮廓模型提取准确的细胞轮廓。
The initial contour is extracted by basic morphological operation, and the exact contour is extracted through active contour model.
背景资料分析：对于经椎弓根操作，精确测量椎弓根峡部形态学参数很重要。
Summary of Background Data. Accurate measurement of morphometric parameters of pedicle isthmus is important for transpedicular procedures.
基于数学形态学的图像去除噪声是通过对图像的开、闭操作有选择的去噪。
Goes based on the connected domain image chirp is through carries on to the image corrosion and the inflation has the choice to go chirp.
基于数学形态学的图像去除噪声是通过对图像的开、闭操作有选择的去噪。
Goes based on the connected domain image chirp is through carries on to the image corrosion and the inflation has the choice to go chirp.
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