jiaquan

说明：  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：  可以获取连通域的最小外接矩形，然后做些其他处理(You can get the minimum external rectangle of a connected domain,and you can do something else.)

说明：  snake模型 简单 可以修改迭代次数跟初始mask 挺不错的，可以改参数(snake model Simple can modify iterations with initial mask quite good can change parameters)

1．选择一幅图像，对该图像进行DCT块操作（将图像分成8×8小块，对每个小块进行DCT变换）。 2.利用屏蔽矩阵对DCT系数进行区域选择，然后进行逆变换（IDCT），合成原图像，计算合成图像的PSNR。 3.选择一小波函数，对一幅图像进行分解，显示各变换系数，观察其规律，并进行小波逆变换，合成原图像。 (1. Select an image, the image DCT block operations (the image is divided into 8 × 8 small pieces of each small piece for DCT transform). 2. The use of shielding on the DCT coefficient matrix of regional choices, and then inverse transform (IDCT), synthesis of the original image, calculating the synthetic image PSNR. 3. To select a wavelet function, decomposition of an image to show the transform coefficients, to observe its laws, and inverse wavelet transform, the original synthetic image.)

sift特征点检测及图像拼接，matlab7.0实现的，我从别人那里整过来的，测试的话，用在matlab里面直接调用match( b1.jpg , b2.jpg )即可，我测试成功，里面也有说明文档，为了科研，共享，希望大家有好的代码都0分共享，与己方便，与人方便，中国科研才会发展更迅速(sift feature point detection and image stitching of, matlab7.0 realized, I come from others where the whole test, used in matlab inside direct calls to match (' b1.jpg' , ' b2.jpg' ) can I test success, which also has documentation, in order to research, share, and hope everyone has a good code sharing, and has convenient, and accommodating, the more rapid development of China' s scientific research will)

图像融合客观评价程序，包括扭曲度，相关系数，方差等(Objective evaluation of image fusion procedures, including distortions, the correlation coefficient, variance, etc.)

采用相邻一定距离的邻域图像差，提高了抗干扰能力，对亮度变化不敏感(Matching based on neighborhood difference feature)

CV模型源代码, 用水平集进行图像分割。一个经典的算法。(matlab source code of CV model)

实现SAR复数数据bin文件的读取、写入，可被ENVI、PolSARpro等软件读取(SAR complex data read and write)

说明：  模板匹配，能够准确的找出与所给图像一致的目标。(Template matching, the ability to accurately identify the image with the given goal.)