nlcl

this file contains prtools (pattern recognition tools).

The fusion of images is the process of combining two or more images into a single image retaining important features from each of the images. A scheme for fusion of multi-resolution 2D gray level images based on wavelet transform is presented in this paper. If the images are not already registered, a point-based registration, using affine transformation is performed prior to fusion. The images to be fused are first decomposed into sub images with different frequency and then information fusion is performed using these images under the proposed gradient and relative smoothness criterion. Finally these sub images are reconstructed into the result image with plentiful information. A quantitative measure of the degree of fusion is estimated by cross-correlation coefficient and comparison with some of the existing wavelet transform based image fusion techniques is carried out.

Matlab Structure from motion toolbox for rigid and non rigid scenes

根据已知的三维离散数据（x,y,z）,在MATLAB中利用此函数进行三维曲面拟合，再根据polyval2d得出拟合函数的系数矩阵。(according to 3D discrete datum (x,y,z),use this function in MATLAB to fit 3D surface, and use polyval2d to get coefficient matrix)

This is intro to characters and it is for educational use only. Only for personal study.

File is from the wavelet toolboxs, decomposes an image with wavelet transform.

用hough变换实现不同斜率的线检测，用该方法可以提高你对于图像线自动检测的相关认识(With the hough transform line detection of different slope.you can use it to improve your skill on image procing.thankyou.)

一个很好的MATLAB源代码——OMP，OMP算法的改进之处在于：在分解的每一步对所选择的全部原子进行正交化处理，这使得在精度要求相同的情况下，OMP算法的收敛速度更快。(A good MATLAB source code-- OMP, OMP algorithm improvement lies in: every step of the decomposition of orthogonalization processing all of the selected atoms, which makes the accuracy requirement of the same circumstances, the OMP algorithm s convergence speed is faster. )

matlab离散点转化为平滑曲线的基本方法，适合新手使用(matlab discrete points into a smooth curve)

matlab图像分割程序 手动和自动分割(matlab image segmentation procedures manual and automatic segmentation)