software

基于自适应的区域选择和自适应的正则化得图像去模糊和超分辨处理，试过可以用(Based adaptive region selection and adaptive regularization was image deblurring and super-resolution processing)

基于低频融合算法和小波变换编写的图像融合Matlab程序，包含了基本的小波图像分解与重构程序。(Fusion algorithm based on the low-frequency and wavelet transform image fusion prepared Matlab procedures, including the basic wavelet image decomposition and reconstruction process.)

图像的各向异性扩散，利用matlab实现Perona_Malik算法，梯度阈值K通过对图像求解2-范数的方法迭代获得(Anisotropic diffusion images, using matlab to achieve Perona_Malik algorithm, the gradient threshold images by solving the K 2- norm method will be obtained)

识别分割图像中不同颜色的部分，并分别显示出来(Identifying portion dividing the image in different colors, and were displayed)

信息融合滤波算法，基于IMM完成匀速—加速—匀速单运动目标跟踪。(Information fusion filter algorithm based on IMM to complete the uniform and accelerate uniform single moving target tracking.)

利用ENVI/IDL，计算多幅图像的各个像元的平均值。并忽略空缺值(Use ENVI/IDL, calculate the average of each pixel of multiple images. And ignores the value of vacancies)

目标跟踪的两个算法，分别是运动变化和基于高斯权值的颜色空间HSI的meanshift算法(Two target tracking algorithm, namely, Gaussian-based movement and the right to change the value of the HSI color space meanshift algorithm)

基于分形理论的改进的一种图像分割算法,用matlab语言实现(Based on Fractal Theory An improved image segmentation algorithm)

图像的纹理特征参数的灰度共生矩阵的计算，该方法效果好，速度快，易理解。(The image texture characteristic parameters GLCM calculation, the method effective, fast, easy to understand.)

　　本函数选用阈值分割的方法来完成瞳孔定位。根据图像的灰度分布特性，瞳孔部分的灰度值最小，其次为虹膜部分，最大的为巩膜部分。因此在灰度直方图中，第一个大峰值的邻域即是瞳孔所在区域。(Function selects the threshold segmentation method to accomplish the pupil location. Based on image gray distribution features, the pupil part of the grey value of the minimum, followed by the iris part, the biggest part of sclera. So in gray level histogram, the peak value of the first big neighborhood is the pupil area.)