Image-Classification-master

实现了KFCM算法，对模糊图像进行聚类分析，效果良好(The KFCM algorithm is implemented)

说明：  人眼定位的matlab代码，使用模板匹配的方法实现(Eye location matlab code, using the template matching method)

LK 和HS光流代码，初学者可用，带有误差分析(LK optical flow and the HS code is available for beginners, error analysis with)

这是最经典的平面图像质量评价的ssim实现，算法实现简单。(image quality assessment)

数字摄影测量中的最小二乘匹配算法，带示例图像(Feature points matching using LSTM)

matching algorithm based on SIFT algorithm, extract feature points in use of Harris corner detection algorithm

目标运动的真实轨迹和估计轨迹，以及所进行的误差分析(Target motion trajectory and estimate the true trajectory, and error analysis conducted)

pca-sift算法的实现，采用vc2008开发环境，进行开发，独立运行(pca-sift algorithm, using vc2008 development environment to develop, operate independently)

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.)

详细介绍了图像融合的数字水印技术，可以作为毕业设计的良好借鉴素材(Details of the digital watermarking technique of image fusion can be used as a good reference material Graduation)