diskreet.m

此文件是关于图像处理中灰度视频播放等相关知识的综合运用。(it is about the gray in image processing)

图像特征提取，有SIFT、BOW、VLAD、LBP、HOG、FishVector、gist、Metric、colorhist。(Image feature extraction, including SIFT, BOW, VLAD, LBP, HOG, FishVector, gist, Metric, colorhist.)

基于图像检索的matlab代码，基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大(content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance)

说明：  广义灰度数学形态学滤波，输入信号，结构元素的长度，类型(Generalized gray-scale mathematical morphology filter, the input signal, the length of structural elements, type)

内容包括高斯混合概率假设密度滤波器仿真程序，GM-PHD滤波器提供了一种PHD滤波器工程化的方法，在无数据关联的情况下进行目标跟踪。(This algorithm is extended to accommodate mildly nonlinear target dynamics using approximation strategies from the extended and unscented Kalman filters.)

SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性，亲身检测可用(SIFT feature is a local feature of image. It keeps invariant to rotation, scaling, brightness change, and also keeps a certain degree of stability to view angle change, affine transformation and noise.)

用水线阈值法分割图像：通过对图像进行高帽、低帽变换，并将得到的结果进行相减，可以增强图像，然后利用分水岭算法就行分割！(Water line thresholding segmentation image: The image of flattery, low cap transformation, and will be the results of subtraction, it can enhance image, and then use the watershed segmentation algorithm on the line!)

利用几种阈值法从给定的图像中分割出目标，去除背景(Use several thresholds to segment the target a given image and remove the background)

Image Inpainting for object removal project report

采用半隐式方案实现变分水平集图像分割方法(Active contour without edge, image segmentation)