Search - watershed

Search - watershed - List

[Software Engineering] SpeedGraph DL : 0: 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。-Abstract: In view of high-speed high-precision machine vision inspection frame components in the image segmentation problem, an improved watershed algorithm. The algorithm combines the traditional edge detection and threshold segmentation, and the use of certain collection basin regional merger guidelines, effectively curbed the phenomenon of over-segmentation. Running results show that the algorithm works well and meets the frame machine vision inspection requirements.
Date : 2026-01-03 Size : 123kb User : 文演
[Software Engineering] watershed-word DL : 0: 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 description, with source code
Date : 2026-01-03 Size : 21kb User : 输入
[Software Engineering] sjzyjz DL : 0: 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
Date : 2026-01-03 Size : 452kb User : ting
[Software Engineering] PFCp2FAPENDICESp2FApendice-B DL : 0: Information of transform watershed
Date : 2026-01-03 Size : 132kb User : Jance
[Software Engineering] MarkerWatershed DL : 0: 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
Date : 2026-01-03 Size : 4.81mb User : joflay
[Software Engineering] Watershed-Based-Segmentation- DL : 0: 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 mathematical morphology for image segmentation. Several very efficient algorithms have been devised for the determination of watersheds. Nevertheless, the application of watershed algorithms to an image is often disappointing: the image is oversegmented into a large number of tiny, shallow watersheds, where one wanted to obtain only a few deep ones. This paper presents a novel approach to watershed merging. Mainly, it addresses the following question: given an image, what is the closest image that has a simpler watershed structure? The basic idea is to replicate the process of watershed merging that takes place when rain falls over a real landscape: smaller watersheds progressively fill until an overflow occurs.
Date : 2026-01-03 Size : 1.9mb User : comewanlei
[Software Engineering] cloud-classification DL : 0: 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 Enhanced Visible and Infra-red Imager) imagery is presented. It is based on the segmentation of the multispectral images using order-invariant watershed algorithms, which are applied to the corresponding gradient images, computed by a multi-dimensional morphological operator. To reduce the over-segmentation produced by the watershed method, a RAG (Region Adjacency Graph) based region merging technique is applied, using region dissimilarity functions.
Date : 2026-01-03 Size : 1.92mb User : comewanlei
[Software Engineering] Watershed DL : 0: 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
Date : 2026-01-03 Size : 2.83mb User : yechao
[Software Engineering] brain-tumor-detection-using-watershed-segmentatio DL : 0: In this project, Brain tumor in MRI is detected using image segmentation techniques. There are number of image segmentation techniques available but watershed segmentation is considered to be best among all. First of all prep-processing is to be done on MRI image followed by Segmentation. During pre-processing, MRI is first converted into gray scale image then salt and pepper noise is removed using median filter. Image is then enhanced using Histogram Equalization then Image segmentation is performed on image. In image segmentation, image is segmented into its constituent parts. In this way, brain tumor is detected.-In this project, Brain tumor in MRI is detected using image segmentation techniques. There are number of image segmentation techniques available but watershed segmentation is considered to be best among all. First of all prep-processing is to be done on MRI image followed by Segmentation. During pre-processing, MRI is first converted into gray scale image then salt and pepper noise is removed using median filter. Image is then enhanced using Histogram Equalization then Image segmentation is performed on image. In image segmentation, image is segmented into its constituent parts. In this way, brain tumor is detected.
Date : 2026-01-03 Size : 295kb User : Raksha
[Software Engineering] fenshuilingsuanfa DL : 0: 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.
Date : 2026-01-03 Size : 1kb User : 韩笑