Description: 图像分割指把图像分成各具特性的区域并提取出感兴趣目标的技术和过程，它是由图像处理到图像分析的关键步骤。小麦的图像分割是使用各种图像分割算法对小麦图像进行处理和研究，提取出有用的图像信息以实现小麦粘连籽粒的分离，为进一步利用图像处理技术分析小麦品质提供依据。因此，对小麦图像分割方法的研究具有十分重要的意义。
本文首先研究了图像分割算法的分类以及常用图像分割算法的基本原理。然后针对小麦图像的特点，研究了在不同光照、背景和连接情况下使用的小麦图像分割方法，对各种分割算法进行了比较、结合和改进。重点研究了基于小波变换的分水岭算法和阈值分割算法在小麦图像分割中的应用，并借助MATLAB工具软件对选定图像进行处理，实现了对小麦粘连籽粒的分离。最后本文对图像分割技术进行了展望。
本论文的研究对于图像分割技术在小麦品质中的应用具有一定的参考价值。
-Image segmentation is a technology and process that divide image into different character area, which is interesting us. It is a key step from image processing to image analyzing. The wheat image segmentation is a way using many algorithms does some research and processing, and it also can realize the separation of wheat adhesion and realize the extraction of useful image information. So it can lay the foundation for using image processing technologies to analysis the quality of the wheat. there is a very important meaning for the research of the image segmentation method.
This paper studies the class and the principle of segmentation algorithm in common use firstly, then, studies the wheat image segment algorithm with different illumination background. It contrasts kinds of algorithms, and improved them. This paper is based on wavelet transform, and combines with the watershed algorithm and the threshold segmentation method. Using the MATLAB software, does some process on the wheat i Platform: |
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Author:qichao |
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Description: Region Based Active Contour Segmentation：基于活动轮廓的图像分割算法，ＭＡＴＬＡＢ代码，可用于目标提取，包括实验图片-Region Based Active Contour Segmentation: Active Contour-based image segmentation algorithm, MATLAB code, and can be used for object extraction, including the experimental image Platform: |
Size: 10240 |
Author:猪哥不亮 |
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Description: 在HSV色彩空间进行彩色图像分割源码，包括学习和训练算法，获得分割参数-In the HSV color space for color image segmentation source code, including learning and training algorithm, access to segmentation parameters Platform: |
Size: 1593344 |
Author:Brad Bibson |
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Description: 数字图像处理，图像阈值分割和轮廓处理，对于理解分割算法，进行简单的图像编程是不错的资料！-Digital image processing, image segmentation and contour threshold treatment, for understanding the segmentation algorithm, a simple image of information programming is good! Platform: |
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Author:rocky |
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Description: 基于kmeans的图像分割算法，首先得到图像，再确定分类，并计算各分类的均值，从而得到各个像素的分类。-Kmeans-based image segmentation algorithm, first of all get the image, and then determine the classification, and calculate the various categories mean, and thus obtain the classification of each pixel. Platform: |
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Author:meng |
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Description: 基于kmeans的图像分割算法，首先得到图像，再确定分类，并计算各分类的均值，从而得到各个像素的分类。-Kmeans-based image segmentation algorithm, first of all get the image, and then determine the classification, and calculate the various categories mean, and thus obtain the classification of each pixel. Platform: |
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Author:meng |
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Description: 彩色图像分割算法，首先基于直方图粗分，而后通过kmeans细分，得到分割结果-Color image segmentation algorithm, first, rough segmentation based on histogram and then broken down by kmeans get segmentation results Platform: |
Size: 31744 |
Author:meng |
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Description: 染色体配对程序，先通过分割算法分割出单个染色体，在利用染色体的面积、周长、骨架来进行配对。-Chromosome pairing procedure, the first segmentation algorithm segmented by a single chromosome, chromosome in the use of the area, perimeter, skeleton matching. Platform: |
Size: 230400 |
Author:shuzhenqiu |
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Description: 用Mathematica写的一个基于分水岭的图像分割算法，过程很详细。-Using Mathematica write a watershed-based image segmentation algorithm, the process in great detail. Platform: |
Size: 3726336 |
Author:小白 |
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Description: 一种改进的图象分割程序,分割出来效果相当好,尤其对于丰富的图象,保证别人没有上传过-Based on graph cut image segmentation algorithm, split the result was very good, especially for texture-rich images, ensure that no one else uploaded Platform: |
Size: 2048 |
Author:周 |
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Description: 基于K均值算法和互信息熵差的算法，可以有效地确定分类数,从而该算法对医学图像进行自动优化分割。-K means algorithm based on entropy and mutual information algorithms, can effectively determine the classification number, so that the algorithm for automatic optimization of medical image segmentation. Platform: |
Size: 2048 |
Author:王远 |
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Description: This code contains region growing segmentation algorithm to obtain the similar edges in color images Platform: |
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Author:Rekha.N |
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Description: 题目：非平稳时间序列突变检测的启发式分割算法（BG算法）
本源码实现了下面参考文献中的算法，并对该文献中的实例进行了仿真-Title: Non-stationary time series mutation detection heuristic segmentation algorithm (BG algorithm) of the source references to achieve the following algorithm, and examples of the literature carried out simulation Platform: |
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Author:张望 |
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Description: Otsu算法是图像分割算法中比较实用和高效的一种，对图像的后续处理有很好的作用-Otsu algorithm is image segmentation algorithm in a more practical and efficient, the follow-up processing of the images have a good effect Platform: |
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Author:alex |
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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: |
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Author:命运 |
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Description: In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
-In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
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Author:pramod |
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Description: 该文章总结了近几年来一些经典的图像分割算法，并对他们的效果进行了评测。 从中可以了解该领域动向，对调研工作有很大帮助。-The article summarizes recent years a number of classical image segmentation algorithm, and the evaluation of their effectiveness. From this we can understand the trends in the field of research have greatly facilitated. Platform: |
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Author:yuhaonan |
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Search - segmentation algorithm