EvaluateImage • FunctionImage • GetImageChannelEntropy • GetImageChannelKurtosis • GetImageChannelMean • GetImageChannelMoments • GetImageChannelPerceptualHash • GetImageChannelRange • GetImageChannelStatistics • PolynomialImage • StatisticImage
EvaluateImage() applies a value to the image with an arithmetic, relational, or logical operator to an image. Use these operations to lighten or darken an image, to increase or decrease contrast in an image, or to produce the "negative" of an image.
The format of the EvaluateImageChannel method is:
MagickBooleanType EvaluateImage(Image *image, const MagickEvaluateOperator op,const double value, ExceptionInfo *exception) MagickBooleanType EvaluateImages(Image *images, const MagickEvaluateOperator op,const double value, ExceptionInfo *exception) MagickBooleanType EvaluateImageChannel(Image *image, const ChannelType channel,const MagickEvaluateOperator op, const double value,ExceptionInfo *exception)
A description of each parameter follows:
FunctionImage() applies a value to the image with an arithmetic, relational, or logical operator to an image. Use these operations to lighten or darken an image, to increase or decrease contrast in an image, or to produce the "negative" of an image.
The format of the FunctionImageChannel method is:
MagickBooleanType FunctionImage(Image *image, const MagickFunction function,const ssize_t number_parameters, const double *parameters,ExceptionInfo *exception) MagickBooleanType FunctionImageChannel(Image *image, const ChannelType channel,const MagickFunction function, const ssize_t number_parameters,const double *argument, ExceptionInfo *exception)
A description of each parameter follows:
GetImageChannelEntropy() returns the entropy of one or more image channels.
The format of the GetImageChannelEntropy method is:
MagickBooleanType GetImageChannelEntropy(const Image *image, const ChannelType channel,double *entropy,ExceptionInfo *exception)
A description of each parameter follows:
GetImageChannelKurtosis() returns the kurtosis and skewness of one or more image channels.
The format of the GetImageChannelKurtosis method is:
MagickBooleanType GetImageChannelKurtosis(const Image *image, const ChannelType channel,double *kurtosis,double *skewness, ExceptionInfo *exception)
A description of each parameter follows:
GetImageChannelMean() returns the mean and standard deviation of one or more image channels.
The format of the GetImageChannelMean method is:
MagickBooleanType GetImageChannelMean(const Image *image, const ChannelType channel,double *mean,double *standard_deviation, ExceptionInfo *exception)
A description of each parameter follows:
GetImageChannelMoments() returns the normalized moments of one or more image channels.
The format of the GetImageChannelMoments method is:
ChannelMoments *GetImageChannelMoments(const Image *image, ExceptionInfo *exception)
A description of each parameter follows:
GetImageChannelPerceptualHash() returns the perceptual hash of one or more image channels.
The format of the GetImageChannelPerceptualHash method is:
ChannelPerceptualHash *GetImageChannelPerceptualHash(const Image *image, ExceptionInfo *exception)
A description of each parameter follows:
GetImageChannelRange() returns the range of one or more image channels.
The format of the GetImageChannelRange method is:
MagickBooleanType GetImageChannelRange(const Image *image, const ChannelType channel,double *minima,double *maxima, ExceptionInfo *exception)
A description of each parameter follows:
GetImageChannelStatistics() returns statistics for each channel in the image. The statistics include the channel depth, its minima, maxima, mean, standard deviation, kurtosis and skewness. You can access the red channel mean, for example, like this:
channel_statistics=GetImageChannelStatistics(image,exception); red_mean=channel_statistics[RedChannel].mean;
Use MagickRelinquishMemory() to free the statistics buffer.
The format of the GetImageChannelStatistics method is:
ChannelStatistics *GetImageChannelStatistics(const Image *image, ExceptionInfo *exception)
A description of each parameter follows:
PolynomialImage() returns a new image where each pixel is the sum of the pixels in the image sequence after applying its corresponding terms (coefficient and degree pairs).
The format of the PolynomialImage method is:
Image *PolynomialImage(const Image *images,const size_t number_terms, const double *terms,ExceptionInfo *exception) Image *PolynomialImageChannel(const Image *images, const size_t number_terms,const ChannelType channel, const double *terms,ExceptionInfo *exception)
A description of each parameter follows:
StatisticImage() makes each pixel the min / max / median / mode / etc. of the neighborhood of the specified width and height.
The format of the StatisticImage method is:
Image *StatisticImage(const Image *image,const StatisticType type, const size_t width,const size_t height,ExceptionInfo *exception) Image *StatisticImageChannel(const Image *image, const ChannelType channel,const StatisticType type, const size_t width,const size_t height,ExceptionInfo *exception)
A description of each parameter follows: