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基于灰度形态学的红细胞图像边缘检测 总被引:1,自引:0,他引:1
边缘包含了图像很多重要的信息,边缘检测的好坏也直接决定了后续处理的效果。在利用数学形态学进行边缘检测后,会出现不需要的边缘,形成噪声。针对这种情况,提出一种计算中心像素与邻域像素均方差的方法对形态学边缘检测算子进行改进,该方法可以有效减少噪声,为以后对红细胞图像进行特征提取和分类打下良好的基础。 相似文献
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随着高校学报的发展,编辑学者化已经在高校学报界形成了共识,为广大学报编辑所认同,成为学报编辑成长进步的内在要求和自我完善的实践活动.很多高校已将编辑学者化作为加强编辑队伍建设的主要内容,并纳入学校的总体发展目标,这不仅促进了编辑队伍的建设,也有利于编辑的专业素质和业务水平的提高.在分析高校编辑学者化原因基础上,提出要实现高校学报编辑学者化,就需要不断提高编辑的学术素养,扩大编辑的知识面,同时要求高校不断完善编辑队伍建设的引导机制. 相似文献
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基于单幅图像三维形貌恢复的研究尚未进行系统的测量不确定度分析.文章在已获得的三维测量结果的基础上,提出并使用了“全面像素不确定度评价方法”,改变传统的以物体关键部位不确定度代替全貌不确定度的评价方法,将被检三维物体形貌恢复结果的每个像素,均参与到测量不确定度评价过程中.通过全面测量不确定度的研究可以全面了解三维形貌恢复的状况,有助于进行精度的改进,并可根据精度分布状况,进行有针对性的测量. 相似文献
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The registration of point cloud is important for large object measurement. A measurement method for coordinate system transformation based on robot is proposed in this paper. Firstly, for obtaining extrinsic parameters, the robot moves to three different positions to capture the images of three targets. Then the transformation matrix X between camera and tool center point (TCP) coordinate systems can be calculated by using the known parameters of robot and the extrinsic parameters, and finally the multi-view coordinate system can be transformed into robot coordinate system by the transformation matrix X. With the help of robot, the multi-view point cloud can be easily transformed into a unified coordinate system. By using robot, the measurement doesn’t need any mark. Experimental results show that the method is effective. 相似文献
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Aiming at the low speed of traditional scale-invariant feature transform (SIFT) matching algorithm, an improved matching algorithm is proposed in this paper. Firstly, feature points are detected and the speed of feature points matching is improved by adding epipolar constraint; then according to the matching feature points, the homography matrix is obtained by the least square method; finally, according to the homography matrix, the points in the left image can be mapped into the right image, and if the distance between the mapping point and the matching point in the right image is smaller than the threshold value, the pair of matching points is retained, otherwise discarded. Experimental results show that with the improved matching algorithm, the matching time is reduced by 73.3% and the matching points are entirely correct. In addition, the improved method is robust to rotation and translation. 相似文献
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