MRF

matlab检测直线交点源程序在matlab6,5下已调试通过 不错的(Matlab detection line intersect point source in matlab6, have been debug through good under 5)

视觉注意力模型，寻找感兴趣区域，模仿人眼找出最感兴趣的区域，再找出第二感兴趣的区域，以此类推(Visual attention model to find the region of interest, to imitate the human eye to identify the most interesting region, and then find the second region of interest, and so on)

说明：  二维、三维图像分割工具箱，采用基于matlab的标记分水岭算法(Two-dimensional and three-dimensional image segmentation toolbox, mark watershed algorithm based on MATLAB)

中值滤波，取出奇数个数据进行排序，用排序后的中值取代要处理的数据即可(median filtering.rar)

使用matlab对交通标志进行定位，用MATLAB强大的计算功能和各种功能齐全的函数,图像工具箱来进行道路交通标志的识别(Using MATLAB to locate traffic signs)

单尺度Retinex算法,ssr算法，matlab程序(Single scale Retinex algorithm, SSR algorithm, matlab program)

可以将txt文件中的某一列数据进行提取出来，然后进行图像制图(You can extract a column of data from the txt file and then do image mapping)

基于偏微分方程的遥感图像处理方法 利用测试图像对算法进行仿真验证，并与其它图像去噪算法进行去噪效果比较，通过数值对降噪效果进行评估，得出该方法不仅能够去除噪声而且能够很好的保护图像的边缘等细节信息，弥补了高阶非线性扩散去噪方法导致边界模糊的缺陷，提高了遥感图像的质量，改善了视觉效果(Simulation algorithm of remote sensing image processing methods based on partial differential equations using the test image denoising results compare with other image denoising algorithm to assess the value of the noise reduction effect, draw the method can not only remove the noise but well protected image edge details, to make up for the higher order nonlinear diffusion denoising method lead to fuzzy boundaries defects and improve the quality of remote sensing images and improve the visual effects)

曲波变换程序代码，实现图像的曲波分解以及显示，可以去图像进行曲波去噪增强，对彩色图像空间模型转化后提取曲波信息(Qu Bo transform program code, and display the image decomposition Qu Bo, Qu Bo can go to image edge enhancement, color image space model for transforming information extracted after Qu Bo)

some fast feature extraction algorithms are addressed for joint retrieval of images compressed in JPEG and JPEG2000 formats. In order to avoid full decoding, three fast algorithms that convert block-based discrete cosine transform (BDCT) into wavelet transform are developed, so that wavelet-based features can be extracted from JPEG images as in JPEG2000 images.