Saliency-Detection

VMD分解阈值去噪，进行极优模态分量的选择(VMD decomposition threshold denoising, selection of very excellent modal components.)

说明：  用C语言实现图像的平滑，锐化及双线性内插算法的实现，效果很好(Using C language to achieve image smoothing, sharpening and bilinear interpolation algorithm to achieve good results)

实现图像边缘的傅里叶描述子，可用于边缘检测，形状分析。(Matlab achieve image edge of the Fourier descriptors, can be used for edge detection, shape analysis.)

迭代CT重建血管，希望对大家能够有所帮助(Iterative CT reconstruction of blood vessels, we want to be able to help)

基于霍夫变换的直线检测，效果非常好，图片自己找，可能需要对图片格式做操作。(Line Detection Based on Hough Transform)

说明：  实现混合高斯的功能，再次基础上可进行任意操作(The function of mixed Gaussian can be realized, and any operation can be carried out on the basis of it again.)

在桌面上显示图像，C++Builder精选编程学习源码，很好的学习资料。(Image display on the desktop, C++Builder select learning programming source code, very good learning materials.)

针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。(For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into blocks the size of the window, and then sub-block feature vector extraction unit, using FCM clustering coarse partition, and then block on the edge, in pixels from the new Feature Extraction, for fine segmentation. Improve the segmentation results after the speed and accuracy of segmentation.)

广义高斯概率分布函数的指数估计，包括矩估计和最大似然估计，并对这两种估计进行了比较(exponential cosfficients estimation for generalized Gaussian pdf，include moment estimator and Maximum Likehood estimator. )

说明：  高斯混合模型实现图像分割分类，包含中文注释。(Gaussian mixture model implements image segmentation and classification, including Chinese annotation.)