weicaise

Tae Hoon Kim教授的Nonparametric Higher-Order Learning for Interactive Segmentation源码(Tae Hoon Kim, Professor Nonparametric Higher-Order Learning for Interactive Segmentation)

多尺度retinex算法的matlab程序，用着不错(The matlab program of multi-scale Retinex algorithm is well used)

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.)

图像融合质量评价指标，包含灰度值，平均梯度，光谱扭曲程度，SSIM，PSNR，MSE等等。(Image fusion quality uation, including gray value, average gradient, spectral distortion degree, SSIM, PSNR, MSE, and so on.)

Hilditch算法是现有的一种细化算法,它适用于 输入图像为0和1的二值图像。像素为1的区 域是需要细化的部分, 像素为0 的区域是背景(Hilditch thinning algorithm is an existing algorithm, it applies to the input image is 0 and 1 of the binary image. Pixel region 1 is a need to refine the part of the pixel area is the background for the 0)

estimate shape of a noisy image from the shading information

这是一个比较全面的傅里叶变换，例子中含有测试的图片，能让人更加明白傅里叶变换的处理效果。(This is a more comprehensive Fourier transform, the example contains a picture of the test, can make people more aware of the Fourier transform of the treatment effect.)

利用DOA和TOA对运动辐射源的单舰无源定位(Using a single passive location DOA and TOA ship moving emitter)

说明：  摄像头条形码识别，可以发送命令识别后，展示识别码质量(ShopSavvy Barcode Scanner)

图像德拉尔曼滤波，实现对给定图像的卡尔曼去噪(kalman filter of image)