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cvlib_mex is a collection (over two dozens) of matlab callable routines from the the OpenCV library (www.intel.com/research/mrl/research/opencv/). OpenCV is a real time computer vision library with many image processing capabilities and it is amazingly fast as well as economic. To get a list of all available functions run cvlib_mex without any arguments, e.g: cvlib_mex Dedicated (short) help on each function is obtained by runing cvlib_mex('funname'), eg: cvlib_mex('resize') A longer help (but often still too short) may be obtained by consulting the OpenCV manual pages. To run this mex you probably need the to have all the dlls in the same directory. Example 1: let IMG be a MxNx3 uint8 image. imr = cvlib_mex('resize',IMG,3.4); will resize the image, using a bilinear interpolation, to 3.4 times the original size. Example 2: let A and B be MxN single arrays. C = cvlib_mex('mul',A,B); will do a per-element multiplication of A and B, or a C = A .* B and cvlib_mex('mul',A,B); will do the same but in-place, storing the result in A.
Update : 2010-12-03 Size : 651.96kb Publisher : shshlzh

cvlib_mex is a collection (over two dozens) of matlab callable routines from the the OpenCV library (www.intel.com/research/mrl/research/opencv/). OpenCV is a real time computer vision library with many image processing capabilities and it is amazingly fast as well as economic. To get a list of all available functions run cvlib_mex without any arguments, e.g: cvlib_mex Dedicated (short) help on each function is obtained by runing cvlib_mex('funname'), eg: cvlib_mex('resize') A longer help (but often still too short) may be obtained by consulting the OpenCV manual pages. To run this mex you probably need the to have all the dlls in the same directory. Example 1: let IMG be a MxNx3 uint8 image. imr = cvlib_mex('resize',IMG,3.4); will resize the image, using a bilinear interpolation, to 3.4 times the original size. Example 2: let A and B be MxN single arrays. C = cvlib_mex('mul',A,B); will do a per-element multiplication of A and B, or a C = A .* B and cvlib_mex('mul',A,B); will do the same but in-place, storing the result in A.
Update : 2010-12-03 Size : 826.12kb Publisher : shshlzh

cvlib_mex is a collection (over two dozens) of matlab callable routines from the the OpenCV library (www.intel.com/research/mrl/research/opencv/). OpenCV is a real time computer vision library with many image processing capabilities and it is amazingly fast as well as economic. To get a list of all available functions run cvlib_mex without any arguments, e.g: cvlib_mex Dedicated (short) help on each function is obtained by runing cvlib_mex('funname'), eg: cvlib_mex('resize') A longer help (but often still too short) may be obtained by consulting the OpenCV manual pages. To run this mex you probably need the to have all the dlls in the same directory. Example 1: let IMG be a MxNx3 uint8 image. imr = cvlib_mex('resize',IMG,3.4); will resize the image, using a bilinear interpolation, to 3.4 times the original size. Example 2: let A and B be MxN single arrays. C = cvlib_mex('mul',A,B); will do a per-element multiplication of A and B, or a C = A .* B and cvlib_mex('mul',A,B); will do the same but in-place, storing the result in A.
Update : 2010-12-03 Size : 523.35kb Publisher : shshlzh

使用双线性内插法 在matlab下实现图像的整数倍放大-use bilinear interpolation method in Matlab under several times for the entire image to enlarge
Update : 2025-02-19 Size : 1kb Publisher : cmooc
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