This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation

导入一幅含有交通标志的图像，可以对该图像添加高斯、椒盐等噪声并进行中值滤波、维纳滤波、小波去噪等，最终目的可以实现对图像的RGB、HSV以及SVF的颜色分割。-Importing a traffic sign containing the image, you can add a Gaussian, salt and pepper and other noise on the image and median filtering, Wiener filtering, wavelet de-noi

利用K均值进行图像分割,利用颜色模型（HSV或HSI等）-Image segmentation using K mean, the use of color model (HSV or HSI, etc.)