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SpeedGraph
- 摘要：针对高速高精度帧片机视觉检测中的元件图像分割问题，提出了一种改进分水岭算法。该算法结合传统的边缘检测和阈值分割，并采用一定的集水盆区域合并准则，有效地抑制了过分割现象。现场运行结果表明该算法效果很好，满足了帧片机视觉检测的要求。
watershed_for_linear_feature_extraction
- 本文在现有目标识别方法的基础上,提出一种结合目标的特性进行分水岭变换提取目标的方法
分水岭算法.doc
- 分水岭算法有好多种实现算法，拓扑学，形态学，浸水模拟和降水模拟等方式
Matlab
- 文档阿数学图像处理，给予分水岭变换图像分割-Ah mathematical document image processing, image segmentation given watershed transform
yixuetuxiangfenge
- 基于GFO和标记点分水岭算法的医学图像分割 利用基于广义模糊算子 GFO 的边缘检测算法来改进标记点分水岭分割 很有用-GFO and marking points on the watershed algorithm for medical image segmentation based on generalized fuzzy operator GFO edge detection algorithm to improve the marking point of the waters
watershed-word
- 分水岭算法的描述之一，附源代码，讲解八联通域和四联通域-Watershed algorithm descr iption, with source code
sjzyjz
- 基于视觉注意机制的感兴趣区检测，融合视觉注意机制和分水岭分割检测 感兴趣区-Visual attention mechanism based on detecting regions of interest, the integration mechanism of visual attention to detect regions of interest and watershed segmentation
MarkerWatershed
- 标记分水岭比较了开闭和基于重构的开闭的效果及分割染色后的效果图... 标记分水岭分割算法-Mark a watershed in comparing the opening and closing and effect diagram based on the effect of opening and closing and split reconstructed stained ... marked watershed segmentation algorithm
f
- 在为分割使用分水岭变换之前，通常使用梯度幅度来预处理图像。-Before using watershed transformation for segmentation,we usually use gradient magnitude to preprocessing the image.
if-i-can-read-graduate-again
- 研究生阶段有多重要？《Science》有一次专访，我特意借此来谈谈研究生对于一个人的发展是非常重要的。他们几个人都非常公认的一条是：研究生是决定人以后成就高低的一个分水岭。-How important is the graduate level? " Science" has an interview, I deliberately take for a person to talk about the development of graduate students is v
fenshuiling
- 改进分水岭方法定位虹膜，采用形态学开闭重建运算对图像进行滤波，进行前后景标记，从而进行分割图像-Improved watershed method to locate the iris, using morphological opening and closing operation for image reconstruction filter, before and after King Mark, thereby performing image segmentation
paper3
- 基于分水岭变换和主动轮廓模型的舌体轮廓图像分割-The tongue contour image watershed transform and an active contour model based segmentation
Watershed-Based-Segmentation-
- 图像分割是一种重要的图像分析技术，对图像分割的研究一直是图像技术研究中的热点和焦点。分水岭算法是基于数学形态学理论的图像分割算法，但是对噪声敏感且存在过分割的现象。为提高图像分割效果，本文通过对影像进行滤波处理，用改进的快速区域合并算法优化分水岭算法进行影像分割。实验结果与MeanShift算法得到的结果对比，证明此算法可以获得较好的分割效果。-In recent years, the watershed line has emerged as the primary tool of mathe
cloud-classification
- 图像分割是一种重要的图像分析技术，对图像分割的研究一直是图像技术研究中的热点和焦点。分水岭算法是基于数学形态学理论的图像分割算法，但是对噪声敏感且存在过分割的现象。为提高图像分割效果，本文通过对影像进行滤波处理，用改进的快速区域合并算法优化分水岭算法进行影像分割。-In this work a technique for cloud detection and classification from MSG–SEVIRI (Meteosat Second Generation–Spinning
Watershed
- 1.分水岭分割成区域块 2.高斯混合模型聚类 3.区域合并-1 watershed area is divided into blocks of 2 Gaussian mixture model clustering 3 region merge
fenshuilingsuanfa
- 图像处理中非常重要的分水岭算法也被广泛使用。-Image processing is a very important watershed algorithms are also widely used.