图像处理编程

dct(离散余弦变换）域数字水印嵌入算法-dct (discrete cosine transform) domain digital watermarking algorithm

用java制作的特效,模拟一个在闪电中的城市,效果逼真,是java特效制作的范本. -with production effects, a simulated lightning in the city, lifelike rendering of java model.

JPEG2000的c语言实现，效率不如kakadu但是容易理解。-JPEG2000 c language, but the efficiency is better kakadu easy to understand.

区域生长: 标注详细,参数可在程序中调整-Regional Growth: tagging detailed parameters can be adjusted in the procedure

对图像进行JPEG2000压缩 使用时有一定的函数格式 在ms-dos下使用-JPEG2000 compression of the images when using in ms-dos , use a certain format adapt the function

自己写的实验报告，关于图像分割的 根据实验要求，利用MATLAB软件中的图像处理工具箱，做baota.jpg图像的分割，目的达到突出图片中主要目标区域，将其分割出来，附带实验总结及经验。-Written report of his experiments on the image segmentation is based on experimental requirements, the use of MATLAB software, the image processing toolbox, do baota.jpg image segmentation aims to highlight the main objectives of the picture area, to split it out, experiment with conclusions and experience.

基于DCT的水印技术的C程序实现，可在此示例的基础上修改，实现自己的数字水印系统-DCT-based watermark technology procedures C realize, in this example could be the basis of changes to realize their own digital watermarking system

图像格式转换的源码，用于图像不同格式的转换，如转换公式为Gray(i,j)=0.11*R(i,j)+0.59*G(i,j)+0.3*B(i,j)，其中Gray(i,j)为转换后的黑白图像在（i,j）点处的灰度值，其中绿色所占的比重最大，所以转换时可以直接使用G值。 -The source image format converter for conversion of images in different formats, such as the conversion formula for the Gray (i, j) = 0.11* R (i, j)+ 0.59* G (i, j)+ 0.3* B ( i, j), which Gray (i, j) for the converted black and white images in the (i, j) point of the gray value, of which the largest share in the green, so conversion can be directly used when the G value.

这个是应用与摄像机标定的程序的模拟仿真。对场景中N条相等的平行线进行摄像机内参标定，看提供的约束有几个。其中涉及到数据的归一化处理以及L－M最优化。-This is the application of camera calibration and simulation procedures. Article N of the scene the same parallel line camera calibration reference, see Constraint provided there are several. Which relates to data processing as well as the normalized L-M optimized.

Description: Recent studies on Mathematical modeling of visual cortical cells [Kulikowski/Marcelja/Bishop:1982] suggest a tuned band pass filter bank structure. These filters are found to have Gaussian transfer functions in the frequency domain. Thus, taking the Inverse Fourier Transform of this transfer function we get a filter characteristics closely resembling to the Gabor filters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes respectively) modulated by a complex sinusoid (with centre frequencies U and V along x and y-axes respectively).