shuangfengquyuzhi

何凯明暗通道先验法进行单幅图像去雾的实现。 严格按照每一步编程。步骤清晰，代码易懂，更改图片路径后便可执行。(Make a single image to achieve HE dark fog channel priori method. In strict accordance with each step programming. Step clear, easy to understand code, change the image path after the executable.)

感兴趣区域提取,已通过实验证其可行性以及实用性(region of interest detect )

这是本人发表的目标跟踪方面论文使用的代码，是基于随机假设概率滤波的多目标跟踪算法。(This is the code used by the target tracking paper I published, filter multi-target tracking algorithm based on the probability of a random assumption.)

本例中主要使用四个区模糊函数对图像去模糊，分别是deconvwnr、deconvreg、deconvlucy、deconvblind。这四个函数分别适合不同的情况，对模糊图像的恢复效果也不同(In this case the main use of the four areas on the image to the fuzzy ambiguity function, respectively deconvwnr, deconvreg, deconvlucy, deconvblind. These four functions are appropriate for different situations, the recovery of the blurred image effect is different)

基于8×8分块得数字水印嵌入和提取算法。此算法已经通过调试，可以直接运行(Based on 8 × 8 sub-blocks have digital watermark embedding and extraction algorithm. This algorithm has been through debugging, you can directly run)

多分辨率灰度和旋转不变纹理分类与定位二进制模式(multiresolution gray scale and rotation invariant texture classification with location binary patterns )

说明：  手眼标定方法。平面手眼标定，四点标定算法(Hand-eye calibration method. Planar hand-eye calibration and four-point calibration algorithm)

非常详细的一篇论文，仔细介绍了手指静脉识别的的全过程(A very detailed paper, carefully introduced the finger vein identification process)

说明：  织物疵点检测，有GUI界面，可自动识别疵点并分类(Fabric defect detection, GUI interface, automatic defect identification and classification)

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.)