MRI-brain-segmentation-using-FCM

对于图像不同纹理特征值（能量、熵、惯性矩、相关）的提取(For different image texture feature value (energy, entropy, moment of inertia, related) extraction)

对图像的融合结果进行评价，有均值，标准偏差，熵，梯度，相关系数，光谱扭曲度(Image fusion results of the evaluation, there is the mean, standard deviation, entropy, gradient, correlation coefficient, spectral degree twist)

一种新颖的退化图像复原算法。结合最大差值先验假设和最大局部对比度先验假设，快速有效的得到退化图像的深度转换估计图。结合软抠图法和shades of the gray算法实现图像去雾和水下图像处理。(A novel degraded image restoration algorithm. Combined with maximum difference between a priori assumptions and maximum local contrast priori hypotheses, quickly and efficiently get degraded image depth conversion estimates Chart. Combined with soft matting law and shades of the gray image algorithm to image processing and underwater fog)

rgb转化为lab空间，k-means聚类，基本的图像处理如腐蚀膨胀等，分水岭分割方法分割标记(rgb converted to lab space, k-means clustering, basic image processing such as corrosion expansion, etc., watershed segmentation segmentation mark)

c#编写的图像平滑处理，源码比较全，可以成功编译，希望对大家有帮助。(c# prepared by the image smoothing, source code comparison, can be successfully compiled, we want to help.)

标准Hough检测圆，在数字图像中检测圆形目标，需要先边缘提取，在二值图像中检测圆。(circle detection using standard hough transform )

令x(n)=5exp(j*0.15*n*n)+6exp(j*300n-j*0.15*n*n) ，w(n)为高斯窗函数。试用matlab软件，取不同长度的窗函数，分别求x(n)离散短时傅里叶变换，并进行信号重构。(ORDER x (n) = 5exp (j* 0.15* n* n)+6exp (j* 300n-j* 0.15* n* n), w (n) for the Gaussian window function. Trial Matlab software, take different lengths of the window function x (n), respectively, seek to discrete short-time Fourier transform, and to reconstruct the signal.)

主要是利用对比增强来处理图像 利用了模糊集以及模糊熵理论 (The main use of contrast enhancement to the image processing using fuzzy sets and fuzzy entropy theory )

说明：  K-SVD matlab 源程序 里面包含了许多子函数(The matlab source program contains many subfunctions)

均值、中值、维纳、TV、小波五种图像去噪方法（matlab）.均经过运行调试。包括对五种方法的研究报告（word）。 (Mean, median, Wiener, TV, xiaobo five kinds of Wavelet Image Denoising (Matlab). Have been run debug. including The study of five ways (word).)