Description: 利用聚类算法分割图像，将维对分法只可将图像分为2部分，可以作为二值化的代码,K-均值法可将图像分为任意多部分。程序直接采用R、G、B三色作为特征参数，聚类中心为随机值，当然也可以采用其他参数，程序编译为EXE文件后速度还可以接受，但尚有改进的余地，那位高手有空修改的话，请给我也发份代码。-clustering algorithm using image segmentation, Victoria right method can only image is divided into two parts, the two values can be used as the source, K-means algorithm can be divided into images of arbitrary multi-part. Procedures used directly in R, G, B color as the characteristic parameters for the cluster center random value, of course, can also be used for other parameters, procedures EXE compiler to speed document acceptable, but there is still room for improvement, but the master of the time change, then please give me also made in the code. Platform: |
Size: 50176 |
Author:pbt |
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Description: 模糊核聚类及几篇文章，用于数据和图像的模糊聚类分割，效果还行-nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK Platform: |
Size: 1381376 |
Author:张莉 |
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Description: 基于纹理度量的图像分割，适用于遥感图像，利用到K-mean算法-texture measurement based on the image segmentation, applicable to remote sensing images, the use of K-mean algorithm Platform: |
Size: 444416 |
Author:lichuan |
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Description: k-均值算法 做的图象分割实例 （将图片像素聚成三类）-k-means algorithm to do the image segmentation example (poly-pixel pictures into three categories) Platform: |
Size: 104448 |
Author:姜波 |
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Description: 用k-means 做彩色图像分割，分类数可选-Using k-means to do color image segmentation, classification number of optional Platform: |
Size: 1024 |
Author:卢学 |
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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: 将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color image, convert to grayscale image segmentation, the output of grayscale images. The use of gray as the characteristics of each pixel clustering, due to light and other reasons, and sometimes should belong to an object pixel, its gray value will also be very different, may lead to clustering of the pixel error has occurred. in the segmentation results, the surface, there would be different from other pixel noise points, so , the algorithm Finally, the results of a median filter to eliminate noise, to the role of smoothing the image Platform: |
Size: 335872 |
Author:caoliang |
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Description: 台湾大学几位学者写的基于K-均值算法的快速图像分割，用到基于HSV颜色空间的直方图-Fast Image Segmentation Based on K-Means
Clustering with Histograms in HSV Color Space Platform: |
Size: 586752 |
Author:gaotengfei |
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Description: 增加椒盐噪声对图像进行去噪处理后，实现图像分割(Adding salt and pepper noise to image denoising,realization of image segmentation) Platform: |
Size: 1024 |
Author:v鹏子
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