sobel_filter_zx1809_v10

说明：  （1）图像基本操作：不同格式（大于3种）图像的读入与存盘、文字叠加、不同彩色空间的转换、图像的DCT及FFT变换等； （2）图像增强：包括直方图拉升（线性和非线性）、直方图均衡、平滑与锐化（采用不同的滤镜），美颜（加分项）； （3）图像恢复：几何操作（如旋转、缩放、投影校正等）、模糊恢复（如运动模糊消除等，加分项）； （4）图像合成（加分项）：实现换头、换背景、图像拼接等功能。((1) Basic operation of image: reading and saving of images in different formats (more than 3 kinds), text superposition, conversion of different color spaces, DCT and FFT transformation of images, etc; (2) Image enhancement: including histogram lifting (linear and non-linear), histogram equalization, smoothing and sharpening (using different filters), beauty (bonus item); (3) Image restoration: geometric operations (such as rotation, scaling, projection correction, etc.), blur restoration (such as motion blur elimination, etc., plus points); (4) Image synthesis (Bonus): realize the functions of head changing, background changing, image splicing, etc.)

利用matlab实现图像处理里的实现图像边缘检测、图像分割、特征提取以及图像数字识别等任务。 对图像分别进行模糊、锐化、和直方图均衡化处理，画出处理结果。实现整幅图像的边缘检测，可以看出有肖像画或素描的效果，画出处理结果。(Matlab realize image edge detection in image processing, image segmentation, feature extraction and image numeral recognition task. Fuzzy image sharpness, and histogram equalization paint treatment results. The whole image edge detection, portrait or sketch effect can be seen the paint treatment results.)

Multiclass Spectral Clustering Algorithm，和Dominant-set算法同属于较常用的聚类算法，用于图像分割等(Multiclass Spectral Clustering Algorith m, and Dominant-set algorithm is more commonly used with the clustering algorithm for image segmentation, etc.)

说明：  一个SAR目标边缘自动检测与定位算法的一个车辆检测的视频(A vehicle detection, an automatic detection and localization of SAR edge algorithm of video)

SLIC超像素分割matlab版本，主要算法为C++与matlab算法联动(SLIC super pixel segmentation matlab version, the main algorithm is C++ and matlab algorithm linkage)

MNIST数据集中图像数据文件， 60000个训练集(The MNIST dataset image data files, 60000 training set)

一种简单的虹膜特征提取Matlab实现，主要是gabor滤波器的实现。(A simple iris feature extraction Matlab, gabor filter realization.)

Visual Image Quality Assessment Technique using FSIM

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)

行人检测HOG+SVM进行图片中行人检测，提供训练用的pos和neg样本，效果还可以；没有SVM工具箱的，压缩包里已经提供了，安装一下即可(Pedestrian detection HOG + SVM for pedestrian detection in pictures, providing POS and neg samples for training, the effect is good; without SVM toolbox, the compression package has been provided, just install it.)