Description: 应用kmean均值聚类方法对RGB,HSR图像的分割算法，个人觉得自己变得还可以，希望大家借鉴。-application kmean means clustering method of RGB, neighborhood image segmentation algorithm, individuals feel that they can become the hope that you learn from. Platform: |
Size: 5120 |
Author:chy |
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Description: 该源代码可以直接下载下来使用，而且是地地道道的对RGB图像进行分割，我已经测试通过了。-The source code can be directly downloaded to use, but also out-and-out on the RGB image partition, I have the test passed. Platform: |
Size: 189440 |
Author:黄荣兵 |
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Description: 边缘检测是数字图象处理、图象分析和识别领域中的重要课题。近年来，由于彩色图象的广泛应用，使彩色数字图象处理技术日益收到关注，彩色图象边缘检测是在众多的彩色图象处理中极为重要的方法，这是因为图象分割、识别等大量的高层次彩色图象处理均建立在低层次边缘检测的基础上。本实验是将彩色RGB图象首先转换为灰度图象，然后利用经典的边缘检测算Canny算子来实现边缘检测，然后再统计出边界方向的直方图。-Edge detection is a digital image processing, image analysis and identification of important issues in the field. In recent years, due to the extensive application of color images, so color digital image processing technology increasingly received attention, color image edge detection in color image processing a large number of extremely important ways, this is because the image segmentation, identification such a large number of high-level color image processing are built on low-level edge detection based on. This experiment is the first color RGB image is converted to grayscale images, and then use the classical Canny edge detector operator to realize edge detection, and then the statistics of the histogram of the direction of the border. Platform: |
Size: 8410112 |
Author:周倩 |
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Description: 介绍了视觉颜色空间及其在交互式图像分割中的作用, 实验分析了它的奇异性, 在此基础上, 考虑像素的
空间和色彩分布, 提出了基于区域生长法的多颜色空间、 多度量准则的聚类算法和零碎区域的合并算法, 颜色空间选取HSL 和RGB 两种, 相似性度量包括了种子点、 扩张点和生长区域三个方面, 并用于敦煌壁画图像的分割.-Introduce the visual color space and its application in interactive image segmentation of the role, experimental analysis of its singularity, on this basis, taking into pixel space and color distribution, based on region growing multi-color space, multi-metric criteria clustering algorithm and fragmented region merging algorithm, select the HSL color space and RGB are two similarity measure, including the seed point, the expansion point and the three aspects of regional growth, and for image segmentation in Dunhuang murals. Platform: |
Size: 348160 |
Author:singro jiang |
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Description: 彩色图像分割算法，
首先rgb到hsv，然后量化，分割成许多个小区域，然后用区域合并算法进行合并，一直预先设定的区域数目或者达到满足的聚类条件为止停止合并-Color Image Segmentation Algorithm, first of all, rgb to hsv, and then quantified, separated into many small regions, and then use the region merging algorithm to merge, has been pre-set number of regional or cluster to meet the conditions to reach so far to stop the merger Platform: |
Size: 205824 |
Author:gajs |
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Description: 利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。-The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network training. Platform: |
Size: 24576 |
Author:血狼 |
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Description: image segmentation K-means for image of color space RGB-image segmentation K-means for image of color space RGB Platform: |
Size: 1024 |
Author:Doris |
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Description: 为了提高白细胞自动识别算法的性能,提出了基于均值移动和单类支持向量机的血细胞图像分割新方法. 该方法的原理是将图像中颜色相对稳定的背景和红细胞部分像素作为正训练样本,将颜色复杂多样的白细胞像素作为异常数据检测. 均值移动过程用来在红、绿、兰(RGB) 颜色空间寻找正训练样本集,通过均匀抽样和颜色量化措施,实现单类支持向量机(SVM) 在线实时训练,最终图像像素经过单类SVM 分类来实现分割. 实验表明,新方法对涂片制备和光照变化导致的图像颜色改变有很好的适应性,图像分割精度优于常用流域算法,而耗时只是后者的1/ 4.-In order to improve the performance of automatic recognition of white blood cells, was proposed based on mean shift and single-class support vector machine blood cell image segmentation. The principle is relatively stable color image in the background and the red part of the pixel as being Platform: |
Size: 440320 |
Author:罗朝辉 |
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Description: In this project, we intend to segment natural images by combing colour and texture information. For this we will be using an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in the process of data partition. It is new formulation for the extraction of color features that will evaluate the input image in a multispace color representation. To achieve this, we will be using the opponent characteristics of the RGB and YIQ color spaces where the key component will be the inclusion of the Self Organizing Map (SOM) network in the computation of the dominant colors and estimation of the optimal number of clusters in the image. The texture features will be computed using a multichannel texture decomposition scheme based on Gabor filtering. Platform: |
Size: 347136 |
Author:rupesh |
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Description: 传统的图像阈值分割算法是将彩色图像转换为灰度图像再进行分割。通过分析RGB颜色空间的特点，本文提出
基于RGB颜色空间的阈值分割算法，-The classical image threshold segmentation algorithm converts the color image to grayseah image before segmentation．
On the base of analysis upon the characters of RGB color space Platform: |
Size: 451584 |
Author:周央央 |
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Description: 将彩色图像从RGB转化到lab彩色空间，进行K-mean聚类将图像分割-The color image in RGB color space conversion to lab space , K-mean clustering image segmentation
Platform: |
Size: 7168 |
Author:zhangfengyuan |
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Search - RGB image segmentation