5.2

对于一张8位灰度图像lena.bmp 1）运用4×4抖动矩阵，生成对应抖动图像 2）生成有序抖动图像 3）对于一张24位彩色图像，生成4×4抖动图像( For a 8-bit gray image (lena.bmp) 1）Use a dithering matrix (4*4), generate the dithered image. 2) Generate the ordered ditering image (4*4). 3) For a 24-bit color image, generate the dithered image (4*4). )

图像识别，包括人脸识别和虹膜识别，在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。(Image recognition, including face recognition and iris recognition, iris position in the digital image of the iris recognition and effective positioning is the key issue. Using a model based on active contour method of positioning the iris position, the first gray projection method used to detect a point within the pupil as a pupil of the pseudo-center of a circle, the center of a circle can be as long as it falls within the pupil.)

实现图像的超分辨率算法，采用最大后验（MAP）算法，实现效果不错。(Image super-resolution algorithm using maximum a posteriori (MAP) algorithm, to achieve good results.)

用IDl编写的，用IDL图像处理。已调试好的程序。(Prepared using IDL with IDL image processing. Debugging process has been good.)

基于sift算法的图像拼接matlab代码，经过测试，可以运行，对有重叠部分的图像进行拼接，效果不错(Sift algorithm based on the image mosaic matlab code, the test run splicing with overlapping portion of the image, good results)

使用MATLAB生成二维voronoi图的代码，可以用作后续二维voronoi的多晶模型建立(The code of two-dimensional Voronoi diagram generated by MATLAB can be used to build the polycrystalline model of two-dimensional voronoi.)

数字图像快速傅里叶变换（FFT）。将图像转化成二维灰度图像后再做FFT变换，并输出变换后的幅值图。(Digital image fast Fourier transform (FFT).The image is transformed into a two-dimensional gray level image and then the FFT transformation is made, and the amplitude diagram is output after the transformation.)

此程为目标检测算法程序，采用经典的光流算法，最后可以的到一个运动光流图。(This process procedures for the target detection algorithm, using the classical optical flow algorithm, and finally to a movement to the optical flow diagram.)

RLE压缩算法,对.bmp格式文件进行操作。使用MFC编制界面，可读入位图，压缩后保存位图并显示。(RLE compression algorithm, bmp format file operation. Use the MFC preparation interface, readable into the bitmap compressed to save a bitmap display.)

为解决PCA不适合多指标综合分析中非线性主成分分析的问题 ,采用核主成分分析 (kpca)方法 ,对我国不同地区 16种腐乳的品质进行了综合评价。 (PCA is not suitable to address the many indicators of a comprehensive analysis of non-linear principal component analysis of the problem, using Kernel Principal Component Analysis (kpca) method, 16 kinds of different regions of our country the quality of fermented bean curd had a comprehensive evaluation.)