1) Morphological reconstruction filter
形态学重建滤波
2) Morphological filter
形态学滤波
1.
The Study upon the Traffic Image Morphological Filter Disposal Methods Based on Frame Difference;
基于帧差法的交通图像形态学滤波处理方法的研究
2.
A scheme was developed to correctly reproduce distinct,continuous edges and reduce manual intervention based on the maximum variance between clusters method and a morphological filter.
针对足迹照片存在噪声干扰大,边缘不清晰,人工识别受主观因素影响等问题,提出了一种基于最大类间方差(Otsu)和形态学滤波的足迹特征识别方法。
3.
A new method is proposed,in which,a spacial segmentation is made by the watershed method after morphological filtering,and the moving regions are obtained by the intersection of three twiceframe-difference images.
形态学滤波后利用分水岭算法实现空域分割,时域分割采用二次帧差求交集的方法获取运动区域,然后时空结合。
3) morphological filtering
形态学滤波
1.
Study of fault locating based on single terminal traveling waves using multi-window correlation functions and mathematical morphological filtering algorithm
基于多时窗相关函数和形态学滤波的单端行波故障测距研究
2.
First, image pre-processing techniques such as morphological filtering and multi-frame difference were used to restrain most of the background noise.
首先对采集到的各帧图像通过形态学滤波、帧差等预处理抑制大部分背景噪声。
3.
Subsequently,predominance of morphological filtering is discussed and a face region affirming method based on face structure is presented.
利用人脸样本库建立了人脸肤色模型,讨论了形态学滤波的优势,随后提出了利用人脸的结构特征,进行区域确认的方法。
5) Morphology filtering
形态学滤波
1.
Application of the morphology filtering in the tire enveloping
形态学滤波在轮胎包容特性中的应用
6) morphology filter
形态学滤波
1.
After the pipeline image is acquired by visual system, it is firstly pretreated with a morphology filter, and then segmented by an self-adaptive threshold, finally the weld is located accurately by Hough transform.
机器视觉系统采集管道图像后,以焊缝形态为特征,先对图像进行形态学滤波,然后用自适应阈值进行图像分割,最后用Hough变换从图像中准确检测出焊缝相对位置。
2.
First,the method processes the image with a morphology filter,and then segments it with genetic algorithm(GA),finally extracts character with Hough transform.
在特征提取时,先对图像进行形态学滤波,然后用遗传算法(GA)进行图像分割,最后用Hough变换从图像中提取特征量。
3.
Capture of two valued foreground image depends on adaptive background subtraction algorithm based on predigested Single Gaussian Model and falling action is estimated by proportion between width and height after morphology filter, moreover, false alarms is rejected.
运用基于简化高斯模型的自适应背景减除算法得到二值前景图像,并引入了形态学滤波,通过简化的目标宽高比算法判断人体跌倒行为是否发生,并进行虚报警判断。
补充资料:中国社会学的调整与重建
见中国社会学史。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条