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Diffstat (limited to 'im/include/im_process_ana.h')
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diff --git a/im/include/im_process_ana.h b/im/include/im_process_ana.h new file mode 100755 index 0000000..e7a897a --- /dev/null +++ b/im/include/im_process_ana.h @@ -0,0 +1,222 @@ +/** \file + * \brief Image Statistics and Analysis + * + * See Copyright Notice in im_lib.h + */ + +#ifndef __IM_PROC_ANA_H +#define __IM_PROC_ANA_H + +#include "im_image.h" + +#if defined(__cplusplus) +extern "C" { +#endif + + + +/** \defgroup stats Image Statistics Calculations + * \par + * Operations to calculate some statistics over images. + * \par + * See \ref im_process_ana.h + * \ingroup process */ + +/** Calculates the RMS error between two images (Root Mean Square Error). + * + * \verbatim im.CalcRMSError(image1: imImage, image2: imImage) -> rms: number [in Lua 5] \endverbatim + * \ingroup stats */ +float imCalcRMSError(const imImage* image1, const imImage* image2); + +/** Calculates the SNR of an image and its noise (Signal Noise Ratio). + * + * \verbatim im.CalcSNR(src_image: imImage, noise_image: imImage) -> snr: number [in Lua 5] \endverbatim + * \ingroup stats */ +float imCalcSNR(const imImage* src_image, const imImage* noise_image); + +/** Count the number of different colors in an image. \n + * Image must be IM_BYTE, but all color spaces except IM_CMYK. + * + * \verbatim im.CalcCountColors(image: imImage) -> count: number [in Lua 5] \endverbatim + * \ingroup stats */ +unsigned long imCalcCountColors(const imImage* image); + +/** Calculates the histogram of a IM_BYTE data. \n + * Histogram is always 256 positions long. \n + * When cumulative is different from zero it calculates the cumulative histogram. + * + * \verbatim im.CalcHistogram(image: imImage, plane: number, cumulative: boolean) -> histo: table of numbers [in Lua 5] \endverbatim + * Where plane is the depth plane to calculate the histogram. \n + * The returned table is zero indexed. image can be IM_USHORT or IM_BYTE. + * \ingroup stats */ +void imCalcHistogram(const unsigned char* data, int count, unsigned long* histo, int cumulative); + +/** Calculates the histogram of a IM_USHORT data. \n + * Histogram is always 65535 positions long. \n + * When cumulative is different from zero it calculates the cumulative histogram. \n + * Use \ref imCalcHistogram in Lua. + * \ingroup stats */ +void imCalcUShortHistogram(const unsigned short* data, int count, unsigned long* histo, int cumulative); + +/** Calculates the gray histogram of an image. \n + * Image must be IM_BYTE/(IM_RGB, IM_GRAY, IM_BINARY or IM_MAP). \n + * If the image is IM_RGB then the histogram of the luma component is calculated. \n + * Histogram is always 256 positions long. \n + * When cumulative is different from zero it calculates the cumulative histogram. + * + * \verbatim im.CalcGrayHistogram(image: imImage, cumulative: boolean) -> histo: table of numbers [in Lua 5] \endverbatim + * \ingroup stats */ +void imCalcGrayHistogram(const imImage* image, unsigned long* histo, int cumulative); + +/** Numerical Statistics Structure + * \ingroup stats */ +typedef struct _imStats +{ + float max; /**< Maximum value */ + float min; /**< Minimum value */ + unsigned long positive; /**< Number of Positive Values */ + unsigned long negative; /**< Number of Negative Values */ + unsigned long zeros; /**< Number of Zeros */ + float mean; /**< Mean */ + float stddev; /**< Standard Deviation */ +} imStats; + +/** Calculates the statistics about the image data. \n + * There is one stats for each depth plane. For ex: stats[0]=red stats, stats[0]=green stats, ... \n + * Supports all data types except IM_CFLOAT. \n + * + * \verbatim im.CalcImageStatistics(image: imImage) -> stats: table [in Lua 5] \endverbatim + * Table contains the following fields: max, min, positive, negative, zeros, mean, stddev. + * The same as the \ref imStats structure. + * \ingroup stats */ +void imCalcImageStatistics(const imImage* image, imStats* stats); + +/** Calculates the statistics about the image histogram data.\n + * There is one stats for each depth plane. For ex: stats[0]=red stats, stats[0]=green stats, ... \n + * Only IM_BYTE images are supported. + * + * \verbatim im.CalcHistogramStatistics(image: imImage) -> stats: table [in Lua 5] \endverbatim + * \ingroup stats */ +void imCalcHistogramStatistics(const imImage* image, imStats* stats); + +/** Calculates some extra statistics about the image histogram data.\n + * There is one stats for each depth plane. \n + * Only IM_BYTE images are supported. \n + * mode will be -1 if more than one max is found. + * + * \verbatim im.CalcHistoImageStatistics(image: imImage) -> median: number, mode: number [in Lua 5] \endverbatim + * \ingroup stats */ +void imCalcHistoImageStatistics(const imImage* image, int* median, int* mode); + + + +/** \defgroup analyze Image Analysis + * \par + * See \ref im_process_ana.h + * \ingroup process */ + +/** Find white regions in binary image. \n + * Result is IM_GRAY/IM_USHORT type. Regions can be 4 connected or 8 connected. \n + * Returns the number of regions found. Background is marked as 0. \n + * Regions touching the border are considered only if touch_border=1. + * + * \verbatim im.AnalyzeFindRegions(src_image: imImage, dst_image: imImage, connect: number, touch_border: boolean) -> count: number [in Lua 5] \endverbatim + * \verbatim im.AnalyzeFindRegionsNew(image: imImage, connect: number, touch_border: boolean) -> count: number, new_image: imImage [in Lua 5] \endverbatim + * \ingroup analyze */ +int imAnalyzeFindRegions(const imImage* src_image, imImage* dst_image, int connect, int touch_border); + +/** Measure the actual area of all regions. Holes are not included. \n + * This is the number of pixels of each region. \n + * Source image is IM_GRAY/IM_USHORT type (the result of \ref imAnalyzeFindRegions). \n + * area has size the number of regions. + * + * \verbatim im.AnalyzeMeasureArea(image: imImage, [region_count: number]) -> area: table of numbers [in Lua 5] \endverbatim + * The returned table is zero indexed. + * \ingroup analyze */ +void imAnalyzeMeasureArea(const imImage* image, int* area, int region_count); + +/** Measure the polygonal area limited by the perimeter line of all regions. Holes are not included. \n + * Notice that some regions may have polygonal area zero. \n + * Source image is IM_GRAY/IM_USHORT type (the result of \ref imAnalyzeFindRegions). \n + * perimarea has size the number of regions. + * + * \verbatim im.AnalyzeMeasurePerimArea(image: imImage, [region_count: number]) -> perimarea: table of numbers [in Lua 5] \endverbatim + * The returned table is zero indexed. + * \ingroup analyze */ +void imAnalyzeMeasurePerimArea(const imImage* image, float* perimarea); + +/** Calculate the centroid position of all regions. Holes are not included. \n + * Source image is IM_GRAY/IM_USHORT type (the result of \ref imAnalyzeFindRegions). \n + * area, cx and cy have size the number of regions. If area is NULL will be internally calculated. + * + * \verbatim im.AnalyzeMeasureCentroid(image: imImage, [area: table of numbers], [region_count: number]) -> cx: table of numbers, cy: table of numbers [in Lua 5] \endverbatim + * The returned tables are zero indexed. + * \ingroup analyze */ +void imAnalyzeMeasureCentroid(const imImage* image, const int* area, int region_count, float* cx, float* cy); + +/** Calculate the principal major axis slope of all regions. \n + * Source image is IM_GRAY/IM_USHORT type (the result of \ref imAnalyzeFindRegions). \n + * data has size the number of regions. If area or centroid are NULL will be internally calculated. \n + * Principal (major and minor) axes are defined to be those axes that pass through the + * centroid, about which the moment of inertia of the region is, respectively maximal or minimal. + * + * \verbatim im.AnalyzeMeasurePrincipalAxis(image: imImage, [area: table of numbers], [cx: table of numbers], [cy: table of numbers], [region_count: number]) + -> major_slope: table of numbers, major_length: table of numbers, minor_slope: table of numbers, minor_length: table of numbers [in Lua 5] \endverbatim + * The returned tables are zero indexed. + * \ingroup analyze */ +void imAnalyzeMeasurePrincipalAxis(const imImage* image, const int* area, const float* cx, const float* cy, + const int region_count, float* major_slope, float* major_length, + float* minor_slope, float* minor_length); + +/** Measure the number and area of holes of all regions. \n + * Source image is IM_USHORT type (the result of \ref imAnalyzeFindRegions). \n + * area and perim has size the number of regions, if some is NULL it will be not calculated. + * + * \verbatim im.AnalyzeMeasureHoles(image: imImage, connect: number, [region_count: number]) -> holes_count: number, area: table of numbers, perim: table of numbers [in Lua 5] \endverbatim + * The returned tables are zero indexed. + * \ingroup analyze */ +void imAnalyzeMeasureHoles(const imImage* image, int connect, int *holes_count, int* area, float* perim); + +/** Measure the total perimeter of all regions (external and internal). \n + * Source image is IM_GRAY/IM_USHORT type (the result of imAnalyzeFindRegions). \n + * It uses a half-pixel inter distance for 8 neighboors in a perimeter of a 4 connected region. \n + * This function can also be used to measure line lenght. \n + * perim has size the number of regions. + * + * \verbatim im.AnalyzeMeasurePerimeter(image: imImage) -> perim: table of numbers [in Lua 5] \endverbatim + * \ingroup analyze */ +void imAnalyzeMeasurePerimeter(const imImage* image, float* perim, int region_count); + +/** Isolates the perimeter line of gray integer images. Background is defined as being black (0). \n + * It just checks if at least one of the 4 connected neighboors is non zero. Image borders are extended with zeros. + * + * \verbatim im.ProcessPerimeterLine(src_image: imImage, dst_image: imImage) [in Lua 5] \endverbatim + * \verbatim im.ProcessPerimeterLineNew(image: imImage) -> new_image: imImage [in Lua 5] \endverbatim + * \ingroup analyze */ +void imProcessPerimeterLine(const imImage* src_image, imImage* dst_image); + +/** Eliminates regions that have area size outside or inside the given interval. \n + * Source and destiny are a binary images. Regions can be 4 connected or 8 connected. \n + * Can be done in-place. end_size can be zero to indicate no upper limit or an area with width*height size. \n + * When searching inside the region the limits are inclusive (<= size >=), when searching outside the limits are exclusive (> size <). + * + * \verbatim im.ProcessRemoveByArea(src_image: imImage, dst_image: imImage, connect: number, start_size: number, end_size: number, inside: boolean) [in Lua 5] \endverbatim + * \verbatim im.ProcessRemoveByAreaNew(image: imImage, connect: number, start_size: number, end_size: number, inside: boolean) -> new_image: imImage [in Lua 5] \endverbatim + * \ingroup analyze */ +void imProcessRemoveByArea(const imImage* src_image, imImage* dst_image, int connect, int start_size, int end_size, int inside); + +/** Fill holes inside white regions. \n + * Source and destiny are a binary images. Regions can be 4 connected or 8 connected. \n + * Can be done in-place. + * + * \verbatim im.ProcessFillHoles(src_image: imImage, dst_image: imImage, connect: number) [in Lua 5] \endverbatim + * \verbatim im.ProcessFillHolesNew(image: imImage, connect: number) -> new_image: imImage [in Lua 5] \endverbatim + * \ingroup analyze */ +void imProcessFillHoles(const imImage* src_image, imImage* dst_image, int connect); + + +#if defined(__cplusplus) +} +#endif + +#endif |