@Reference(type=Inproceedings,
author={"Jose San Pedro","Stefan Siersdorfer"},
title="Ranking and Classifying Attractiveness of Photos in Folksonomies",
year="2009",
booktitle="18th International World Wide Web Conference",
pages={"771","","771"},
url="http://www2009.eprints.org/78/",
month="April")
public class RGBRMSContrast
extends Object
implements org.openimaj.image.analyser.ImageAnalyser<org.openimaj.image.MBFImage>, FeatureVectorProvider<DoubleFV>
See the referenced paper for a description. The original python looked like:
cdata = image.getdata()
center = [0.0,0.0,0.0]
for v in cdata:
center[0]+=v[0]
center[1]+=v[1]
center[2]+=v[2]
for i in xrange(len(center)):
center[i]/=len(cdata) #mean vector of the RGB values
contrast2 = 0.0
for v in cdata:
contrast2 += ((v[0]-center[0])**2) + ((v[1]-center[1])**2) + ((v[2]-center[2])**2) #norm of differences wrt the mean
contrast2 /= len(cdata)
| Constructor and Description |
|---|
RGBRMSContrast() |
| Modifier and Type | Method and Description |
|---|---|
void |
analyseImage(org.openimaj.image.MBFImage image) |
double |
getContrast()
Get the contrast of the last image analysed with
analyseImage(MBFImage) |
DoubleFV |
getFeatureVector() |
public RGBRMSContrast()
public DoubleFV getFeatureVector()
getFeatureVector in interface FeatureVectorProvider<DoubleFV>public void analyseImage(org.openimaj.image.MBFImage image)
analyseImage in interface org.openimaj.image.analyser.ImageAnalyser<org.openimaj.image.MBFImage>public double getContrast()
analyseImage(MBFImage)