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:
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. Platform: |
Size: 125952 |
Author:文演 |
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Description: 针对分水岭算法存在的过分割问题以及VCH-F1切片图像的特点，提出一种能够有效消除局部极小值和噪声干扰的自动分割方法。首先比较彩色分量梯度图，选择分量图像的梯度信息，达到有效提取图像边缘信息的目的；然后提出基于多阈值分割的方法消除无效梯度信息；最后介绍了算法的步骤及结果。实验结果证明，通过该方法处理的梯度图像再进行分水岭算法处理，即使不进行区域合并也能达到很好的效果。-Watershed algorithm for over-segmentation problem of the existence of VCH-F1 as well as the characteristics of the image slice, a can effectively eliminate the local minimum value and noise automatic segmentation method. Comparing the first color component gradient map, select the quantity of image gradient information, achieve an effective extraction of image edge information purposes then made based on multi-threshold segmentation method to eliminate invalid gradient information Finally introduce the steps of the algorithm and results. Experimental results show that the adoption of the method of treatment of gradient watershed algorithm for image re-treatment, even if there is no regional merger will also achieve good results. Platform: |
Size: 3243008 |
Author:李胖子 |
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Description: 过分割后区域合并代码。思想是在多尺度下，基于区域的色彩，纹理，形状信息的合并方法。-After the merger of over-segmentation region code. Thinking is in a multi-scale, region-based color, texture, shape information of the combined method. Platform: |
Size: 2048 |
Author:陶超 |
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Description: 程序功能实现图像的分割和进行特征提取，已经同过调试成功！-Program features to achieve image segmentation and feature extraction has been successful with over debugging! Platform: |
Size: 20480 |
Author:wewewe |
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Description: 图像分割，具体算法参考一下论文
Zhi-Gang Tan， Xiao-Chen Heand Nelson H. C. Yung
A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation-Abstract
A novel joint region merging criterion combining region homo-geneity and boundary smoothness is proposed. Previous watershed segmentation method which utilizes region homogeneity or edge integrity or both gives good results in some cases. However, for complex scenes such as images of a vehicle with irregular roadside objects reflected on the window panes, it tends to give undesired segmentation results with region boundaries not residing on real physical boundaries. Aiming at improving the segmentation of these complex scenes, we propose the incorporation of an additional measure of boundary smoothness into a new joint criterion. Based on this, an affine transform invariant measure of the smoothness of boundaries is developed, which is the equivalent width of the energy distribution function over frequencies, obtained from Fourier descriptors of the boundary. Experimental results and evaluation are presented in this paper to demonstrate the merits of the proposed method.
Key Platform: |
Size: 9216 |
Author:Jack Tan |
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Description: 一个基于matlab的改进的灰度图像分水岭分割算法，该算法改进了普通的分水岭算法的过分割等问题，经过一系列处理可是分割结果更加准确。-Matlab based on gray-scale image of the improved watershed segmentation algorithm to improve the ordinary over-segmentation of watershed algorithm and so on, but after a series dealing with a more accurate segmentation results. Platform: |
Size: 1024 |
Author:王悦东 |
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Description: 基于偏微分方程的对GAC模型的改进算法的程序实现，可以对图形进行分割，此程序中如改变迭代的次数，分割效果回会逐渐的变好，但速度会变慢，当迭代次数超过4000次以上，效果就不是很明显了-GAC model based on partial differential equations of the improved algorithm program implementation can be divided on the graphics, this program, such as changes in the number of iterations, segmentation results will be gradually changed for the better back, but the speed will slow down, when the number of iterations over 4000 or more times, the effect is not very evident Platform: |
Size: 8192 |
Author:紫星 |
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Description: mean shift图像分割软件,只能对灰度图像进行处理,如果对彩色图像进行处理,需要转换-mean shift image segmentation software, only for grayscale image processing, if the right color image processing, needs to be converted Platform: |
Size: 2048 |
Author:陈建成 |
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Description: 分割是在MRI analysis.We的基本问题之一，同时考虑了多种MR图像分割，其中，例如，可能是一个系列的问题经过一段时间的扫描相同的组织（的2D/3D）图像，图像的数量，或不同的切片图像的对称部分。 MR图像的多是分割份额常见的结构信息，因此他们可以协助彼此分割的程序。我们提出了一个贝叶斯共同分割算法在共享的信息整个图像是通过利用马尔可夫随机场前，和吉布斯采样后采样是有效的聘用。由于我们的共同拉动分割算法考虑到所有的图像信息的同时，它提供比个人更准确和坚实的结果分割，如支持从模拟和实际结果的例子。-Segmentation is one of the basic problems in MRI analysis.We consider the problem of simultaneously segmenting multiple MR images, which, for example, could be a series
of (2D/3D) images of the same tissue scanned over time,different slices of a volume image, or images of symmetric parts. The multiple MR images to be segmented share
common structure information and hence they are able to assist each other in the segmentation procedure. We propose a Bayesian co-segmentation algorithm where the shared information
across images is utilized via a Markov random field prior, and a Gibbs sampler is employed for efficient posterior sampling. Because our co-segmentation algorithm pulls
all the image information into consideration simultaneously,it provides more accurate and robust results than the individual
segmentation, as supported by results from both simulated and real examples. Platform: |
Size: 812032 |
Author:命运 |
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Description: 指纹图像的质量测量与评价,在指纹图像分割、增强及指纹匹配等环节都有重要应用. 同时,指纹图像的质量分类,对指纹识别算法的适用性研究也有重要意义. 本文提出一种基于支持向量机的指纹图像质量分类方法.该方法选择梯度、Gabor特征、方向对比度等指标,利用支持向量机有效实现指纹图像质量分类. 并采用少类样本合成过采样技术( SMOTE)降低指纹图像质量好坏的类别不平衡问题对分类的影响. 理论分析和实验结果都表明该方法能够较为有效地提高指纹图像质量分类的正确率.-Fingerprint Image Quality Measurement and evaluation, in the fingerprint image segmentation, enhancement and fingerprint matching has important applications such links. Meanwhile, the quality of fingerprint image classification, on the applicability of fingerprint recognition algorithm is also important. In this paper, based on support vector machine classification of fingerprint image quality. The method chosen gradient, Gabor features, such as indicators of the direction of contrast, the effective use of support vector machine classification of fingerprint image quality. and use a small sample of synthetic over-sampling technique class (SMOTE) lower quality fingerprint image the type of imbalance bad influence on the classification. Theoretical analysis and experimental results show that the method can be used effectively to improve the quality of fingerprint image classification accuracy. Platform: |
Size: 564224 |
Author:郭事业 |
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Description: we introduce the Color-based Catchment
Basin Merging Algorithm, an area-based segmentation approach
that is specifically designed to segment low-altitude
aerial images, as a preprocessing step to 3D reconstruction.
This approach extends the watershed-based Catchment
Basin Merging Algorithm, which is purely geometric,
by introducing color similarity as an additional criterion to
decide on the merging of evolving regions. Experiments performed
with real aerial images of varied nature demonstrate
that this modification eliminates over-segmentation problems
of the existing algorithm, allowing large-scale urban
scenes to be segmented in an accurate, reliable and fully automatic
way. Platform: |
Size: 777216 |
Author:bassem |
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Description: 基于标记的Watershed图像分割算法是一种改进的分水岭算法，它很好地被应用于人脸及其他一些场景图像的分割。把该方法引入高分辨遥感图像的分割，并针对遥感图像的特点，在分割之前采用中值滤波对高分辨率遥感图像进行预处理；同时，在分割过程中采用用小波滤波器替代Butterworth滤波器对梯度图像的低通滤波。不同地物特征Quickbird图像的分割实验表明，对于纹理比较均一的高分辨率遥感图像，该方法避免了过分割现象，且效率较高；但对于纹理比较复杂的图像，该方法具有一定的局限性。-Watershed based image segmentation algorithm tag is an improved watershed algorithm, it well be applied to the face and some other scenes segmentation of images. The introduction of high-resolution remote sensing of the method for segmentation of images and features for remote sensing image, the segmentation using median filtering before the high-resolution remote sensing image is preprocessed also used in the segmentation process Butterworth filter with a wavelet filter replacement the gradient image of low-pass filter. Characteristics of different objects that Quickbird image segmentation, for texture and uniform high-resolution remote sensing images, the method avoids over-segmentation phenomenon, and efficient but more complex texture images, this method has some limitations .
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Size: 973824 |
Author:xiliao |
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Description: 舌体轮廓的图像分割是计算机辅助舌诊系统进行图像分析的前提条件。提出了一种基于分水岭交换和主动轮廓模型相结合的自动轮廓分割算法。采用了分水岭变换的结果作为主动轮廓模型算法的初始曲线。在分水岭变换中，通过引入标记函数和强制最小值技术解决了传统分水岭变换可能导致的过分割问题，同时，在保证分割质量的基础上，通过降采样的方法来提高分割速度-Tongue contours for image segmentation is aided tongue diagnosis system, a prerequisite for image analysis. A watershed-based exchange and active contour model by integrating the contour segmentation. Watershed transform using active contour model results as the initial curve. In the watershed transform, through the introduction of mandatory minimum marking function and technology to solve the traditional watershed transformation may lead to over-segmentation, while guaranteeing the quality of the basis of segmentation, by reducing the sampling method to improve segmentation speed Platform: |
Size: 296960 |
Author:xiliao |
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Description: 出了一种适合医学图像分割的改进分水岭算法，针对分水岭算法存在的过分割问题，采用数学
形态学重构滤波器和Ostu阈值分割方法对图像中感兴趣的目标和背景进行标记。根据标记的二值图像，
运用形态学极小值标定技术对原有梯度图像进行修正。最后，使用分水岭算法对修正的梯度图像进行分割。该方法能有效抑制过分割现象，而且计算复杂程度较低、分割效果较好。-Out of a medical image segmentation for improved watershed algorithm for segmentation of watershed algorithm over the problem, using the mathematical morphology reconstruction filters and Ostu thresholding segmentation interested in the image and the object and the background to tag. Binary image according to the marks, the use of minimum calibration technique morphological gradient image of the original amendment. Finally, the gradient of the modified watershed algorithm to segment the image. This method can effectively suppress the phenomenon of over-segmentation, and low computational complexity, segmentation is better. Platform: |
Size: 199680 |
Author:xiliao |
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Description: 在双目立体视觉中立体匹配问题存在歧义性，是视觉研究中难点问题之。通过采用分水岭分割图像的方式有效的对图像进行了过分割处理，实现了基于图像块置信传播的匹配算法。-In the binocular stereo vision problem in stereo matching ambiguity, is the difficult problems in vision research. Images by using watershed segmentation method was effective over-segmentation of the image processing, and belief propagation based on image block matching algorithm. Platform: |
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Author:mstar |
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Description: 本文通过分析造成分水岭算法过分割的原因, 简化灰度变换以及利用数学形态学不同结构元素对距离变换的影响, 提出一种改进的分水岭与Live wire 相结合的算法-By analyzing the resulting over-segmentation of watershed algorithm causes gray transform and simplify the use of different structural elements of morphological effects on the distance transform, watershed and an improved algorithm for the combination of Live wire Platform: |
Size: 422912 |
Author:莉 |
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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: 阿尔茨海默病目前在临床上的诊断标准就是判断是否发生了海马体积上变异，该病的程度与海马体积的萎缩量有着密切的关系。
分水岭算法最大的缺陷是过分割问题比较严重，利用分水线处能量值最小的理论，可以调整分水岭算法获得的轮廓，限制过分割。
-Alzheimer' s disease currently in clinical diagnostic criteria is to determine whether the mutation occurred on hippocampal volume, extent of the disease and the shrinkage of hippocampal volume is closely related to the amount. Watershed algorithm is the biggest flaw is more serious problem of over-segmentation using watershed line of the theoretical minimum energy value, can be adjusted to obtain the outline of the watershed algorithm to limit over-segmentation. Platform: |
Size: 1858560 |
Author:fuky |
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Search - over segmentation