matlab最小二乘法曲面拟合

SSDA序贯相似性检测方法对图像进行模板匹配。从源图像中取小图，再到源图像中找到小图所处的位置。(SSDA sequential similarity detection method of the image template matching. Source image taken from the small map, to find a small map the source image position.)

说明：  该程序采用一种简单的算法对图像进行直方图均衡化，对图像均衡化有一定的作用(The program uses a simple algorithm of image histogram equalization on the image equalization to a certain extent)

一种快速的算术编码程序. 也是JPEG和JPEG2000的部分核心算法.(A fast arithmetic coding procedures. JPEG and JPEG2000 is also part of the core algorithm.)

说明：  直方图均衡化,直方图均衡化vc++源代码(histogramequalization)

小波去噪算法，包含多种小波去噪去噪，强制去噪、软阈值去噪、硬阈值去噪(Wavelet denoising algorithm that contains a variety of wavelet denoising denoising forced denoising, soft thresholding and hard threshold denoising )

图像基础处理——透视矫正的程序代码，把图像还原(Image basic processing- perspective correction code to restore image)

说明：  关于立体图像质量评价的论文和一些工程实现代码。(Papers on stereo image quality evaluation and some engineering implementation code.)

耦合发电机系统的自适应控制与同步以及变形耦合发电机系统中的混沌控制(Coupled generator system of adaptive control coupled with the synchronous generator system, as well as deformation of chaos control)

　对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像 二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值 图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象 等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题(The disadvantage of the classical binary method Ostu Bernsen algorithm and algorithms exist were analyzed, one binding Canny operator image binarization method. This method considers the edge information and gray information, through seed near the edge point padding and a low threshold image to its repair in a high threshold binary image to obtain a binary result image, it solves the noise immunity classical binary method exists difference, rough edges, artifacts phenomenon and other shortcomings. the experimental results show that this method can solve the low-contrast image and the target image pixel gray uneven binary problem)

空间金字塔，通过对图片不断的进行层次划分，对每一层的图片信息进行整理用于图片分类等(Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories )