% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
-% GetImageMoments() returns the moments of one or more image channels.
+% GetImageMoments() returns the normalized moments of one or more image
+% channels.
%
% The format of the GetImageMoments method is:
%
M20[MaxPixelChannels+1],
M21[MaxPixelChannels+1],
M22[MaxPixelChannels+1],
- M30[MaxPixelChannels+1],
- scale;
+ M30[MaxPixelChannels+1];
PointInfo
centroid[MaxPixelChannels+1];
(void) ResetMagickMemory(M21,0,sizeof(M21));
(void) ResetMagickMemory(M22,0,sizeof(M22));
(void) ResetMagickMemory(M30,0,sizeof(M30));
- scale=(double) ((1UL << image->depth)-1)/QuantumRange;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
continue;
if ((traits & UpdatePixelTrait) == 0)
continue;
- M00[channel]+=scale*p[i];
- M10[channel]+=x*scale*p[i];
- M01[channel]+=y*scale*p[i];
+ M00[channel]+=QuantumScale*p[i];
+ M00[MaxPixelChannels]+=QuantumScale*p[i];
+ M10[channel]+=x*QuantumScale*p[i];
+ M10[MaxPixelChannels]+=QuantumScale*p[i];
+ M01[channel]+=y*QuantumScale*p[i];
+ M01[MaxPixelChannels]+=QuantumScale*p[i];
}
p+=GetPixelChannels(image);
}
/*
Compute center of mass (centroid).
*/
- centroid[channel].x=M10[channel]/image->columns/2.0;
- centroid[channel].y=M01[channel]/image->rows/2.0;
- if (fabs(M00[channel]) < MagickEpsilon)
- continue;
+ if (M00[channel] < MagickEpsilon)
+ {
+ M00[channel]+=MagickEpsilon;
+ centroid[channel].x=image->columns/2.0;
+ centroid[channel].y=image->rows/2.0;
+ continue;
+ }
+ M00[channel]+=MagickEpsilon;
centroid[channel].x=M10[channel]/M00[channel];
centroid[channel].y=M01[channel]/M00[channel];
}
if ((traits & UpdatePixelTrait) == 0)
continue;
M11[channel]+=(x-centroid[channel].x)*(y-centroid[channel].y)*
- scale*p[i];
+ QuantumScale*p[i];
+ M11[MaxPixelChannels]+=(x-centroid[channel].x)*(y-centroid[channel].y)*
+ QuantumScale*p[i];
M20[channel]+=(x-centroid[channel].x)*(x-centroid[channel].x)*
- scale*p[i];
+ QuantumScale*p[i];
+ M20[MaxPixelChannels]+=(x-centroid[channel].x)*(x-centroid[channel].x)*
+ QuantumScale*p[i];
M02[channel]+=(y-centroid[channel].y)*(y-centroid[channel].y)*
- scale*p[i];
+ QuantumScale*p[i];
+ M02[MaxPixelChannels]+=(y-centroid[channel].y)*(y-centroid[channel].y)*
+ QuantumScale*p[i];
M21[channel]+=(x-centroid[channel].x)*(x-centroid[channel].x)*
- (y-centroid[channel].y)*scale*p[i];
+ (y-centroid[channel].y)*QuantumScale*p[i];
+ M21[MaxPixelChannels]+=(x-centroid[channel].x)*(x-centroid[channel].x)*
+ (y-centroid[channel].y)*QuantumScale*p[i];
M12[channel]+=(x-centroid[channel].x)*(y-centroid[channel].y)*
- (y-centroid[channel].y)*scale*p[i];
+ (y-centroid[channel].y)*QuantumScale*p[i];
+ M12[MaxPixelChannels]+=(x-centroid[channel].x)*(y-centroid[channel].y)*
+ (y-centroid[channel].y)*QuantumScale*p[i];
M22[channel]+=(x-centroid[channel].x)*(x-centroid[channel].x)*
- (y-centroid[channel].y)*(y-centroid[channel].y)*scale*p[i];
+ (y-centroid[channel].y)*(y-centroid[channel].y)*QuantumScale*p[i];
+ M22[MaxPixelChannels]+=(x-centroid[channel].x)*(x-centroid[channel].x)*
+ (y-centroid[channel].y)*(y-centroid[channel].y)*QuantumScale*p[i];
M30[channel]+=(x-centroid[channel].x)*(x-centroid[channel].x)*
- (x-centroid[channel].x)*scale*p[i];
+ (x-centroid[channel].x)*QuantumScale*p[i];
+ M30[MaxPixelChannels]+=(x-centroid[channel].x)*(x-centroid[channel].x)*
+ (x-centroid[channel].x)*QuantumScale*p[i];
M03[channel]+=(y-centroid[channel].y)*(y-centroid[channel].y)*
- (y-centroid[channel].y)*scale*p[i];
+ (y-centroid[channel].y)*QuantumScale*p[i];
+ M03[MaxPixelChannels]+=(y-centroid[channel].y)*(y-centroid[channel].y)*
+ (y-centroid[channel].y)*QuantumScale*p[i];
}
p+=GetPixelChannels(image);
}
}
+ M00[MaxPixelChannels]/=GetPixelChannels(image);
+ M01[MaxPixelChannels]/=GetPixelChannels(image);
+ M02[MaxPixelChannels]/=GetPixelChannels(image);
+ M03[MaxPixelChannels]/=GetPixelChannels(image);
+ M10[MaxPixelChannels]/=GetPixelChannels(image);
+ M11[MaxPixelChannels]/=GetPixelChannels(image);
+ M12[MaxPixelChannels]/=GetPixelChannels(image);
+ M20[MaxPixelChannels]/=GetPixelChannels(image);
+ M21[MaxPixelChannels]/=GetPixelChannels(image);
+ M22[MaxPixelChannels]/=GetPixelChannels(image);
+ M30[MaxPixelChannels]/=GetPixelChannels(image);
for (channel=0; channel <= MaxPixelChannels; channel++)
{
/*
Compute elliptical angle, major and minor axes, eccentricity, & intensity.
*/
- if (fabs(M00[channel]) < MagickEpsilon)
- continue;
channel_moments[channel].centroid=centroid[channel];
channel_moments[channel].ellipse_axis.x=sqrt((2.0/M00[channel])*
((M20[channel]+M02[channel])+sqrt(4.0*M11[channel]*M11[channel]+
((M20[channel]+M02[channel])-sqrt(4.0*M11[channel]*M11[channel]+
(M20[channel]-M02[channel])*(M20[channel]-M02[channel]))));
channel_moments[channel].ellipse_angle=RadiansToDegrees(0.5*atan(2.0*
- M11[channel]/(M20[channel]-M02[channel])));
+ M11[channel]/(M20[channel]-M02[channel]+MagickEpsilon)));
channel_moments[channel].ellipse_eccentricity=sqrt(1.0-(
channel_moments[channel].ellipse_axis.y/
- channel_moments[channel].ellipse_axis.x));
+ (channel_moments[channel].ellipse_axis.x+MagickEpsilon)));
channel_moments[channel].ellipse_intensity=M00[channel]/
(MagickPI*channel_moments[channel].ellipse_axis.x*
- channel_moments[channel].ellipse_axis.y);
+ channel_moments[channel].ellipse_axis.y+MagickEpsilon);
}
for (channel=0; channel <= MaxPixelChannels; channel++)
{
/*
Normalize image moments.
*/
- if (fabs(M00[channel]) < MagickEpsilon)
- continue;
M10[channel]=0.0;
M01[channel]=0.0;
M11[channel]/=pow(M00[channel],1.0+(1.0+1.0)/2.0);
/*
Compute Hu invariant moments.
*/
- if (fabs(M00[channel]) < MagickEpsilon)
- continue;
channel_moments[channel].I[0]=M20[channel]+M02[channel];
channel_moments[channel].I[1]=(M20[channel]-M02[channel])*
(M20[channel]-M02[channel])+4.0*M11[channel]*M11[channel];
% %
% %
% %
+% G e t I m a g e C h a n n e l P e r c e p t u a l H a s h %
+% %
+% %
+% %
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%
+% GetImagePerceptualHash() returns the perceptual hash of one or more
+% image channels.
+%
+% The format of the GetImagePerceptualHash method is:
+%
+% ChannelPerceptualHash *GetImagePerceptualHash(const Image *image,
+% ExceptionInfo *exception)
+%
+% A description of each parameter follows:
+%
+% o image: the image.
+%
+% o exception: return any errors or warnings in this structure.
+%
+*/
+
+static inline double MagickLog10(const double x)
+{
+#define Log10Epsilon (1.0e-11)
+
+ if (fabs(x) < Log10Epsilon)
+ return(log10(Log10Epsilon));
+ return(log10(fabs(x)));
+}
+
+MagickExport ChannelPerceptualHash *GetImagePerceptualHash(
+ const Image *image,ExceptionInfo *exception)
+{
+ ChannelMoments
+ *moments;
+
+ ChannelPerceptualHash
+ *perceptual_hash;
+
+ Image
+ *hash_image;
+
+ MagickBooleanType
+ status;
+
+ register ssize_t
+ i;
+
+ ssize_t
+ channel;
+
+ /*
+ Blur then transform to sRGB colorspace.
+ */
+ hash_image=BlurImage(image,0.0,1.0,exception);
+ if (hash_image == (Image *) NULL)
+ return((ChannelPerceptualHash *) NULL);
+ hash_image->depth=8;
+ status=TransformImageColorspace(hash_image,sRGBColorspace,exception);
+ if (status == MagickFalse)
+ return((ChannelPerceptualHash *) NULL);
+ moments=GetImageMoments(hash_image,exception);
+ hash_image=DestroyImage(hash_image);
+ if (moments == (ChannelMoments *) NULL)
+ return((ChannelPerceptualHash *) NULL);
+ perceptual_hash=(ChannelPerceptualHash *) AcquireQuantumMemory(
+ CompositeChannels+1UL,sizeof(*perceptual_hash));
+ if (perceptual_hash == (ChannelPerceptualHash *) NULL)
+ return((ChannelPerceptualHash *) NULL);
+ for (channel=0; channel <= MaxPixelChannels; channel++)
+ for (i=0; i < 7; i++)
+ perceptual_hash[channel].P[i]=(-MagickLog10(moments[channel].I[i]));
+ moments=(ChannelMoments *) RelinquishMagickMemory(moments);
+ /*
+ Blur then transform to HCLp colorspace.
+ */
+ hash_image=BlurImage(image,0.0,1.0,exception);
+ if (hash_image == (Image *) NULL)
+ {
+ perceptual_hash=(ChannelPerceptualHash *) RelinquishMagickMemory(
+ perceptual_hash);
+ return((ChannelPerceptualHash *) NULL);
+ }
+ hash_image->depth=8;
+ status=TransformImageColorspace(hash_image,HCLpColorspace,exception);
+ if (status == MagickFalse)
+ {
+ perceptual_hash=(ChannelPerceptualHash *) RelinquishMagickMemory(
+ perceptual_hash);
+ return((ChannelPerceptualHash *) NULL);
+ }
+ moments=GetImageMoments(hash_image,exception);
+ hash_image=DestroyImage(hash_image);
+ if (moments == (ChannelMoments *) NULL)
+ {
+ perceptual_hash=(ChannelPerceptualHash *) RelinquishMagickMemory(
+ perceptual_hash);
+ return((ChannelPerceptualHash *) NULL);
+ }
+ for (channel=0; channel <= MaxPixelChannels; channel++)
+ for (i=0; i < 7; i++)
+ perceptual_hash[channel].Q[i]=(-MagickLog10(moments[channel].I[i]));
+ moments=(ChannelMoments *) RelinquishMagickMemory(moments);
+ return(perceptual_hash);
+}
+\f
+/*
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% %
+% %
+% %
% G e t I m a g e R a n g e %
% %
% %
for (i=0; i <= (ssize_t) MaxPixelChannels; i++)
{
channel_statistics[i].depth=1;
- channel_statistics[i].maxima=(-MagickHuge);
- channel_statistics[i].minima=MagickHuge;
+ channel_statistics[i].maxima=(-MagickMaximumValue);
+ channel_statistics[i].minima=MagickMaximumValue;
}
for (y=0; y < (ssize_t) image->rows; y++)
{
projects / imagemagick / blobdiff