00001 //------------------------------------------------------------------------ 00002 // 00003 // Joe Kniss 00004 // 6-20-03 00005 // ________ ____ ___ 00006 // | \ / | / / 00007 // +---+ \/ |/ / 00008 // +--+| |\ /| < 00009 // | || | \ / | |\ \ 00010 // | | \/ | | \ \ 00011 // \_____| |__| \__\ 00012 // Copyright 2003 00013 // Joe Michael Kniss 00014 // <<< jmk@cs.utah.edu >>> 00015 // "All Your Base are Belong to Us" 00016 //------------------------------------------------------------------------- 00017 00018 /// NrroUtil.h 00019 00020 #ifndef __NRRO_UTILITES_DOT_H 00021 #define __NRRO_UTILITES_DOT_H 00022 00023 #include "nrro.h" 00024 #include "nrroKernel.h" 00025 00026 /////////////////////////////////////////////////////////////////////////// 00027 /// Reshape a Nrro Image, input should be an image!!! 00028 /// basically converts a volume slice into an image with arbitrary zoom 00029 /// assumes that: 00030 /// 1) min and max pos are relative to the spatial dimensions of the window 00031 /// you want to display image (for instance), describing the window position 00032 /// inside the image data. This function respects 00033 /// the spatial aspect ratio of the image (pixels can be anisotropic), 00034 /// so position (1,1) could be outside the image, but on only for one of 00035 /// it's axes, the shortest one spatially. (0,0) is always on the image. 00036 /// 2) If you specify positions greater that (1,1) or less than (0,0), ie. 00037 /// positions out size of it, the image will be padded respectively. 00038 /// 3) you are requesting an image that is a specific size 00039 /// 4) the return image will have isotropic pixels. 00040 /// 5) output image will be multi-channel, even if input is scalar ex.(1,sx,sy) 00041 /// 00042 /// What's happening? 00043 /// the image is cropped and/or padded based on the min and max size 00044 /// then it is resampled to the correct size 00045 /// 00046 /// Does not handle Proxy data or Time Series images 00047 00048 /// this one respects the aspect ratio (as described above) 00049 NrroSP reshapeNrroImageA(const NrroSP n, 00050 /// size of image you want back 00051 const gutz::vec2i size, 00052 /// [0-1] min pos, relative to greatest axis 00053 const gutz::vec2f minPos = gutz::vec2f_zero, 00054 /// [0-1] max pos, relative to greatest axis 00055 const gutz::vec2f maxPos = gutz::vec2f_one, 00056 /// Kernel you want for resampling 00057 const NrroKernel &k = CatmulRomKernel); 00058 00059 /// this one ignores the aspect ratio ... TODO: implement that !!! 00060 00061 00062 //////////////////////////////////////////////////////////////////////////// 00063 /// Set a multi-channel nrro to some vector of values, the types should 00064 /// match but they dont have to! The vectors lenght should be at least the 00065 /// size of the nrroSp's dim(0) 00066 //////////////////////////////////////////////////////////////////////////// 00067 template<class T> 00068 void nrroSet(NrroSP n, const T *vvec); 00069 /// use this if you have the iterator already 00070 template<class NT, class VT> 00071 void nrroSet(Nrro::NrroIter<NT> ni, const VT *v); 00072 00073 #endif 00074
