Ihomomorphic

OCR的概念是在1929年由德国科学家Tausheck最先提出来的，后来美国科学家Handel也提出了利用技术对文字进行识别的想法。而最早对印刷体汉字识别进行研究的是IBM公司的Casey和Nagy，1966年他们发表了第一篇关于汉字识别的文章，采用了模板匹配法识别了1000个印刷体汉字。(The concept of OCR in 1929 by the German scientist Tausheck Handel first put forward later, scientists in the United States also put forward ideas of text recognition using technology. In 1966, they published their first article on Chinese character recognition, using template matching method to recognize 1000 printed Chinese characters.)

NSCT轮廓波变换程序，用于图像融合，有图有解释说明(NSCT image fusion)

完成硕士论文期间,自己编的红外图像增强及目标检测演示界面(Completed master)

基于小波变换的图像去噪处理，通过学习小波变换的方法实现对图像的去噪处理，达到所预期的效果(Image denoising based on wavelet transform, realize image denoising by wavelet transform learning method, to achieve the desired effect)

适用于Matlab的图像拼接，图形配准等(Matlab applied to the image mosaic, image registration, etc.)

说明：  通过生成秘钥得到一串具有一定长度的扩频码，将原始消息序列以扩频码的长度过采样产生过采样消息序列，并将扩频码以原始消息序列的长度多次重复成伪随机序列，再令过采样消息序列与伪随机序列异或就可以生成扩频消息序列。在频率域下，将扩频消息序列以一定的嵌入强度自适应地嵌入原始图像，得到的图像具有较强的鲁棒性，比起直接嵌入，扩频水印在受到攻击后恢复出的水印信息误码率要低得多。并且扩频码长度越长，容错率就越高，鲁棒性就越好。(A sequence of spread spectrum codes with a certain length is obtained by generating a secret key. The oversampling message sequence is generated by oversampling the original message sequence with the length of the spread spectrum code, and the spread spectrum code is repeated into a pseudo-random sequence with the length of the original message sequence for many times, and then the spread spectrum message sequence can be generated by making the difference between the oversampling message sequence and the pseudo-random sequence. In the frequency domain, the spread spectrum message sequence is adaptively embedded into the original image with a certain embedding strength, and the resulting image has strong robustness. Compared with direct embedding, the error rate of the watermark information recovered from the attack of spread spectrum watermark is much lower. And the longer the spreading code length, the higher the fault tolerance rate and the better the robustness.)

对飞机进行边缘检测，阈值分割。从而达到图像感兴趣区域提取的目的，能使得图像中的飞机以黑白形式清晰地单独显示出来(Aircraft edge detection , thresholding . So as to achieve the purpose of extracting image regions of interest , can make the image appear as black and white aircraft clearly separate)

说明：  hog 特征 基于matlab的 RGB提取(realize the hog feature)

实现基于混合高斯模型的运动目标检测算法的仿真(Achieved based on Gaussian mixture model simulation of moving target detection algorithm)

这是一个图像处理时用到的程序 可作为图像处理用非常有价值(This is an image processing procedures can be used as image processing with very valuable)