Class RotAverageHash
- java.lang.Object
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- dev.brachtendorf.jimagehash.hashAlgorithms.HashingAlgorithm
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- dev.brachtendorf.jimagehash.hashAlgorithms.RotAverageHash
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- All Implemented Interfaces:
Serializable
public class RotAverageHash extends HashingAlgorithm
Calculate a hash value based on the average luminosity in an image after mapping each pixel to a rotational bucket.
Each bucket corresponds to a single pixel which means that the rescaled image gets rather large when higher bit resolutions are required which affects the performance for high bit keys lengths.
Note: Unlike the other hashing algorithms this algorithm is only thread safe after it successfully hashed it's first image. If concurrent usage is required perform a single hash pass on an arbitrary image.
- Author:
- Kilian
- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class dev.brachtendorf.jimagehash.hashAlgorithms.HashingAlgorithm
bitResolution, immutableState, keyResolution, opaqueReplacementColor, opaqueReplacementThreshold, preProcessing
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Constructor Summary
Constructors Constructor Description RotAverageHash(int bitResolution)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description intcomputePartition(double originalX, double originalY)Compute the ring partition this specific pixel will fall into.protected BigIntegerhash(BufferedImage image, HashBuilder hash)Calculate a hash for the given image.protected intprecomputeAlgoId()A unique id identifying the settings and algorithms used to generate the output result.-
Methods inherited from class dev.brachtendorf.jimagehash.hashAlgorithms.HashingAlgorithm
addFilter, algorithmId, createAlgorithmSpecificHash, createPixelAccessor, equals, getKeyResolution, getOpaqueReplacementColor, getOpaqueReplacementThreshold, hash, hash, hash, hash, hashCode, removeFilter, setOpaqueHandling, setOpaqueHandling, toString
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Constructor Detail
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RotAverageHash
public RotAverageHash(int bitResolution)
- Parameters:
bitResolution- The bit resolution specifies the final length of the generated hash. A higher resolution will increase computation time and space requirement while being able to track finer detail in the image. Be aware that a high key is not always desired and this implementation specifically suffers performance penalties when dealing with huge hash sizesThe average kernel hash will produce a hash with at least the number of bits defined by this argument. In turn this also means that different bit resolutions may be mapped to the same final key length.
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Method Detail
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hash
protected BigInteger hash(BufferedImage image, HashBuilder hash)
Description copied from class:HashingAlgorithmCalculate a hash for the given image. Invoking the hash function on the same image has to return the same hash value. A comparison of the hashes relates to the similarity of the images. The lower the value the more similar the images are. Equal images will produce a similarity of 0.This method is intended to be overwritten by implementations and takes a baseHash argument to allow concatenating multiple hashes as well to be able to compute the effective hash length in
HashingAlgorithm.getKeyResolution(). Preceding 0's are omitted in big integer objects, while the usual hamming distance can be calculated due to xoring without issue the normalized distance requires the potential length of the key to be known.- Specified by:
hashin classHashingAlgorithm- Parameters:
image- Image whose hash will be calculatedhash- a hash builder used to construct the hash- Returns:
- the hash encoded as a big integer
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computePartition
public int computePartition(double originalX, double originalY)Compute the ring partition this specific pixel will fall into.- Parameters:
originalX- the x pixel index in the pictureoriginalY- the y pixel index in the picture- Returns:
- the bucket index
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precomputeAlgoId
protected int precomputeAlgoId()
Description copied from class:HashingAlgorithmA unique id identifying the settings and algorithms used to generate the output result. This method shall contain a hash code for the object which- Stays consistent throughout restart of the jvm
- Value does not change after the constructor finished
- Must return the same value if two instances compute the same hashes for identical input
Even if different bitResolutions are used in the constructor
HashingAlgorithm(int)the algorithId MUST return the same id for two instances if the returned hashes for the same input will always be equal. Therefore instead of checking against the bitResolution the actual resolution as returned byHashingAlgorithm.getKeyResolution()should be used. This method algorithm id's as information available to the child class and will be extended by the hashcode of the kernels.- Specified by:
precomputeAlgoIdin classHashingAlgorithm- Returns:
- the preliminary algorithm id identifying this hashing algorithm
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