Description: This paper presents a novel segmentation algorithm for metallographic images, especially those objects without regular boundaries and homogeneous intensity. In metallographic quantification, the complex microstructures make the conventional approaches hard to achieve a satisfactory partition. We formulate the segmentation procedure as a new framework of iterative watershed region growing constrained by the ridge information. The seeds are selected by an effective double-threshold approach, and the ridges are superimposed as the highest waterlines in watershed transform. To tackle the over-segmentation problem, the blobs are merged iteratively with the utilization of Bayes classification rule. Experimental results show that the algorithm is effective in performing segmentation without too much parameter tuning. Platform: |
Size: 712264 |
Author:jjrs05 |
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Description: This paper presents a novel segmentation algorithm for metallographic images, especially those objects without regular boundaries and homogeneous intensity. In metallographic quantification, the complex microstructures make the conventional approaches hard to achieve a satisfactory partition. We formulate the segmentation procedure as a new framework of iterative watershed region growing constrained by the ridge information. The seeds are selected by an effective double-threshold approach, and the ridges are superimposed as the highest waterlines in watershed transform. To tackle the over-segmentation problem, the blobs are merged iteratively with the utilization of Bayes classification rule. Experimental results show that the algorithm is effective in performing segmentation without too much parameter tuning. Platform: |
Size: 712264 |
Author:jjrs05 |
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Description: Watershed segmentation is a region-growing method. In watershed
segmentation,using gradient image catchment basins represent the regions of the segmentation Platform: |
Size: 128000 |
Author:Apurv |
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Description: 为了提取血管扩张收缩的变化趋势，在采集原始视频AVI图像，进行帧序列转换后，提取血管轮廓成为研究
的重点。文中提出了一种基于标记分水岭对血管超声帧图像的分割方法，该法针对超声图像对比度低、噪声强的特点在标记
之前进行小波域增强。实验证明该法较传统的区域生长法更能准确地提取目标轮廓。基于该法得到的血管在连续时间内截面
积变化曲线，更方便医师进行精确的病理分析。由此可见，该法更适用于超声血管图像的边界提取。
-In order to extract the trend of contraction of vascular expansion, in the acquisition of the original video AVI images were converted frame sequence extracted from a focus of the study of vascular contours. In this paper, based on markers of vascular ultrasound frame watershed image segmentation method, the method for ultrasound image contrast is low, the characteristics of strong noise in the wavelet domain before marked increase. Experiments show that the method is more traditional region growing method to contour more accurately. The law is based on the blood vessels in the continuous-time cross-sectional area within the curve, more convenient and accurate pathological analysis of physicians. Thus, the method is more suitable for vascular ultrasound image boundary extraction. Platform: |
Size: 1052672 |
Author:王一 |
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Description: 基于分水岭自动选取种子的区域生长来进行彩色图像分割-Automatically selected based on the watershed to the seed region growing for color image segmentation Platform: |
Size: 5120 |
Author:Image |
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Description: 改进的T- Snake 算法首先在分水岭法中, 对相邻区域以其像素数、灰度均值和灰度方差定义距离, 并据其在图像上建立新的连通图, 以对图像过度分割而产生的一些过小区域合并 其次, 在模型跨边缘时, 利用已分割断层图像中模型内部区域的统计特征, 用区域生长法获取内点并重新参数化模型, 使模型不再跨边缘, 以保证模型形变到正确的边缘-Improved T-Snake algorithm first law in the watershed, the number of pixels in its neighboring regions, the definition of mean and variance of gray distance, and according to its image on the establishment of a new connected graph, in order to over-segmentation of the image produced Some of the small region merging Second, cross-edge in the model, the use of CT image segmentation model has an internal statistical characteristics of the region, using region growing to get the point and re-parameterized model, the model is no longer cross the edge, to ensure model to the right edge of the deformation Platform: |
Size: 129024 |
Author:莉 |
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Description: 这是个基于VC++的图像处理系统，主要实现实现系统能对图像文件（bmp、 jpg、 tiff、 gif等）进行打开的功能
2.实现系统能对图像文件进行保存，另存的功能
3.实现系统能对图像文件进行打印的功能
4.实现系统退出操作的功能
5.图像分割：阈值分割、区域生长、分裂合并 、区域增长法、特征空间聚类法、用分水岭变换分割法等各种方法，实现复杂区域的分割
希望对大家有用-This is based on VC++ image processing system, the main implementation system image file (bmp, jpg, tiff, gif, etc.) open feature 2 to achieve system image file to save, save functions 3. system can achieve an image file for printing functions 4 out of operation to achieve system function 5 image segmentation: thresholding, region growing, split merge, region growing method, the feature space clustering, segmentation with watershed transformation other ways to achieve complex region segmentation want to be useful Platform: |
Size: 5689344 |
Author:李雄 |
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Description: 主要讲VC分水岭算法和区域生长，及算法改革-Mainly about the VC watershed algorithm and region growing, and the algorithm reform Platform: |
Size: 6125568 |
Author:蒋承 |
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Description: 分水岭分割对图像特征使用梯度下降法和沿区域边界分析弱点(weak points) 来将像素分
类为区域。想像在一个有水流动的拓扑地形结构中，水在重力的引导下聚集到一个地势较低
的盆地。随着水量的增加，水将流满整个盆地直到水流溢出到另一个盆地，这样就会将一些
小盆地吞没形成大的盆地。使用局部的几何结构来形成区域(集水的盆地)，在图像领域中正
如使用一些诸如曲率或梯度强度等特征中的局部极值来将像素连接成区域。这种技术不像其
他区域分割，它几乎不需要用户定义门限，尤其适合对以不同的特征类型从不同的数据集融
合而来的图像进行分割。分水岭技术在那些不仅仅产生单一图像分割的应用中也更加灵活，
但是使用一个门限，或者交互式地在一个用户绘图界面的帮助下，从一个可以提取一个单一
区域或区域集的a-priori 中的一个分割层级更合适。-Watershed segmentation classifies pixels into regions using gradient descent on image features
and analysis of weak points along region boundaries. Imagine water raining onto a landscape
topology and flowing with gravity to collect in low basins. The size of those basins will grow
with increasing amounts of precipitation until they spill into one another, causing small basins
to merge together into larger basins. Regions (catchment basins) are formed by using local
geometric structure to associate points in the image domainwith local extrema in some fea-ture measurement such as curvature or gradient magnitude. This technique is less sensitive
to user-defined thresholds than classic region-growing methods, and may be better suited for
fusing different types of features from different data sets. The watersheds technique is also
more flexible in that it does not produce a single image segmentation, but rather a hierarchy of
segmentations from which a single region or set of regio Platform: |
Size: 5120 |
Author:张涛 |
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Description: 主要包括常见的几种图像分割方法，包括全局阈值法、最小误差法、大律法、区域生长法、分水岭方法、分裂-合并方法-ncluding several common image segmentation methods, including global threshold, the minimum error method, large law, region growing, watershed method, split- consolidation method Platform: |
Size: 6144 |
Author:刘新蕾 |
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Search - watershed region growing