Zernike_code

CVPR2013中出现的一种显著性特征检测算法，该算法用于模拟人眼视觉识别过程，提取图像中的显著性特征借后期目标对象的检测跟踪等使用，该算法(Context-Aware Saliency Detection。matlab implementation of an classical saliency detection alrogithm,which imitate our recognition process of eyes)

说明：  基于hessian矩阵的FrangiFilter，用于图像增强,常用于影像图像血管增强(FrangiFilter based on hessian matrix, which is used for image enhancement, is often used for image enhancement of blood vessels.)

说明：  K-SVD matlab 源程序 里面包含了许多子函数(The matlab source program contains many subfunctions)

说明：  将物体用一堆点框出来，实际先初始化一堆点，然后迭代靠近物体边缘最终框出物体。(The object is framed with a pile of points. In fact, first initialize a pile of points, then iterate close to the edge of the object, and finally frame the object.)

图像拼接程序，可以实现几幅图像的拼接，其原理是基于Lowe教授提出的SIFT特征算法。该方法非常有效，通过两两图像进行配置后，采用融合技术，得到拼接后的全景图(This is code for image mosaic based on SIFT algorithm，it is very useful for learning image process.)

改程序是本人编写的，可以运行，采用的是yale人脸数据，采用4*4分块，无权值，统一旋转不变模式(The program is I write, can run, using Yale face data, using the 4* 4 block, has no right to value, uniform &rotation invariant mode)

最新的用matlab实现的ＳＰＩＨＴ算法，实现对图像的高性能压缩。(Matlab using the latest achievement of SPIHT, the realization of high-performance image compression.)

对图片预处理加入高斯噪声，各种经典边缘检测算子对图像进行边缘提取(Gaussian noise on the image pre-processing, a variety of classic edge detection operator to extract image edge)

可以成功实现双目视觉标定,在做试验的时候成功实现(Binocular vision can be successfully realize calibration tests in the time to do the successful implementation of)

上课的课程：数字图像处理，同Labwindows/CVI实现的多个小程序，分别有：多种函数曲线的生成、多种函数曲线的生成并显示极值、二值图像的边缘追踪、二值图像的形态学处理、根据直方图选择阈值、灰度变换、均值滤波、粒子图像分析、图像的边缘检测、正弦曲线生成、直方图均衡化、直方图显示、中值滤波、自动计算阈值。(Class courses: digital image processing, Labwindows/CVI realize with multiple small program, a variety of function curve respectively, the generation, multiple function curve and display the extremum, generated binary image edge tracing, binary image histogram morphology processing, according to the choice threshold, gray transformation, average filtering, particle image analysis, image edge detection, sine curve generation, histogram equalization, histogram display, median filtering, automatic computing threshold.)