project

说明：  k-svd算法用于稀疏表示的图像去噪，字典学习算法，去噪效果良好(k-svd algorithm for image denoising of sparse representation)

K均值图像分割，读入彩色图片，输出区域分割后的图片(K-means image segmentation, read full-color photographs, the output image after the region segmentation)

说明：  模糊分割，基于混沌粒子群以及二维直方图的斜分阈值分割(Fuzzy partition, based on chaotic particle swarm and the oblique two-dimensional histogram thresholding)

边缘检测，并分割，以不同颜色标示。站内有其matlab实现，这是对应的c++代码。(Edge detection and segmentation, marked with different colors. Inside the station are the matlab realize, This is corresponding c++ code.)

图像分割中的分水岭算法实现--图像灰度变化--图像增强--多维图像(Watershed image segmentation algorithm image change image enhancement multi-dimensional image)

求图像的二维直方图，产生共生矩阵，可以比较像素点分布的是否均匀。(Two dimensional histogram for image, the co-occurrence matrix, can compare the pixel distribution is uniform.)

基于小波模极大值贝叶斯阈值算法，实现图像吐糟的功能，与其他去噪方法进行对比。(Based on wavelet modulus maxima Bayesian threshold algorithm, spit bad image features comparison with other denoising methods.)

1.RAW格式转换为BMP格式 2.灰度线性拉伸 3.局部处理 4.几何处理 5.二值化 6.模板匹配 7.影像融合(1.RAW format converted to BMP format 2. grayscale linear stretch 3. local processing 4. geometric processing 5. binaryzation 6. template matching 7. image fusion)

说明：  我是一个图象处理的初学者,用MATLAB语言编写了一些内部的函数,实现了图象处理的功能,比如entropy,laplician,otsu,top-hat等(image processing is a beginners MATLAB language some internal functions, achieving image processing functions, such as entropy, laplician, Otsu, top-hat, etc.)

彩色图像边缘检测（canny 算子，高斯窗口可调）(image edge detection [canny])