image-segmentation-mean-shift

实现landsat处理，有兴趣的可以下载(Implementing Landsat processing)

说明：  基于Kmeans算法的图像分割，一般Kmeans是数据挖掘中用来聚类的，本试验利用图像中的灰度值作为Kmeans算法的原始点，进行图像分割(Kmeans algorithm based on image segmentation, data mining in general Kmeans is used to clustering, the trial use of the image gray value as the original algorithm Kmeans spots for Image Segmentation)

能针对二值图像进行曲线的提取. 对于背景不太复杂的图像，效果可以。 只针对单像素(extract curve from binary image only for single pixel line.)

sar图像的基于R-D模型的几何纠正，主要是利用RD模型的数学公式进行相关的几何纠正(Geometric rectification based on RD model of SAR)

请采用学过的图像去噪方法（鼓励自己研究新算法），对Circuit_noise.jpg 、boy_noisy.gif（周期噪声） 和california_22_13.bmp图像进行去噪处理。(Please use learned denoising method (to encourage their study new algorithm), to Circuit_noise.jpg, boy_noisy.gif (periodic noise) and california_22_13.bmp image de-noising.)

david lowe 的matlab程序，用于图像特征点的匹配。(david lowe)

用matlab实现的c均值聚类算法，用于图像分割，分割效果很好(Matlab achieved with c-means clustering algorithm for image segmentation, segmentation well)

说明：  完成基于各向异性的自适应超声图像去噪和边缘增强方法，参考Adaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement.pdf，加入了m参数(The completion of ultrasound-based adaptive anisotropic image denoising and edge enhancement method, reference Adaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement.pdf, joined the m parameters)

最新图像轮廓透明度计算算法。 发表在今年的计算机视觉会议(latest image contours transparency calculation algorithm. Published in this year's Computer Vision Conference)

利用迭代残差插值的去马赛克算法，进一步减小估计误差，得到更准确的全彩色图像，性能很不错。(Iterative interpolation residuals demosaicing algorithm to further reduce the estimation error, more accurate full-color images, the performance is very good.)