CN107622488A - A kind of Confocal Images block similarity measurement method and system - Google Patents
A kind of Confocal Images block similarity measurement method and system Download PDFInfo
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Abstract
The invention provides a kind of Confocal Images block similarity measurement method and system, including：Rectangular image block is chosen centered on the first pixel；Choose similar rectangular image block respectively centered on some pixels beyond the first pixel, calculate the distance between two rectangular image blocks, will some similar rectangular image blocks by distance from closely to remote sequence, and individual similar rectangular image blocks of K before choosing；Similarity function of the rectangular image block to similar rectangular image block is calculated, chooses the similar rectangular image block that similarity function in K similar rectangular image blocks is more than predetermined threshold.The present invention effectively strengthens the robustness of image block similarity measurement, is easy to follow-up analysis, can effective boosting algorithm stability.
Description
Technical field
The present invention relates to technical field of image processing, in particular it relates to a kind of Confocal Images block similarity measurement method
And system.
Background technology
With the high speed development of mobile Internet, people can quickly and easily obtain image resource, how extra large from these
Some similar images are found in the image resource of amount and seem extremely important.1991, Swain proposed color histogram graphic calculation
Method, and carry out image retrieval with it.The advantages of algorithm is to calculate simply, and too many pre- place need not be done to image
Reason, the size of image is not also strict with, but due to image color histogram represent be that each color occurs
Probability, it does not indicate the particular location of a certain color in the picture, therefore when calculating the similarity of two images block, just
It can cause a deviation；And the algorithm two images block relatively simple to color can not make good judgement.
The content of the invention
For in the prior art the defects of, it is an object of the invention to provide a kind of Confocal Images block similarity measurement method
And system.
According to a kind of Confocal Images block similarity measurement method provided by the invention, including：
Rectangular image block selecting step：Rectangular image block is chosen centered on the first pixel；
Similar rectangular image block selecting step：Choose similar rectangle respectively centered on some pixels beyond the first pixel
Image block, the distance between two rectangular image blocks are calculated, by some similar rectangular image blocks by distance from closely to remote sequence, and select
K similar rectangular image blocks before taking；
Similarity function calculation procedure：Similarity function of the rectangular image block to similar rectangular image block is calculated, chooses K
Similarity function is more than the similar rectangular image block of predetermined threshold in similar rectangular image block.
Preferably, the rectangular image block selecting step includes：Centered on pixel i, r is that radius chooses rectangular image block
pi, rectangular image block piIt is interior to include the individual pixels of (2r+1) × (2r+1) altogether.
Preferably, the similar rectangular image block selecting step includes：Centered on some pixel j beyond pixel i, r
Similar rectangular image block p is chosen for radiusj, similar rectangular image block pjIt is interior to include the individual pixels of (2r+1) × (2r+1) altogether, calculate two
The distance between rectangular image block d (i, j),
By some similar rectangular image blocks by distance from closely to remote sequence, and K similar rectangular image blocks before choosing,
d(pi,p1) ＜ d (pi,p2) ＜ d (pi,p3) ＜ ... ＜ d (pi,pK)。
Preferably, the similarity function calculation procedure includes：
Calculate rectangular image block piTo similar rectangular image block pjSimilarity function I (i, j),
Given threshold ε, choose the similar square for being more than ε in K similar rectangular image blocks to rectangular image block similarity function
Shape image block.
According to a kind of Confocal Images block similarity measurement system provided by the invention, including：
Rectangular image block chooses module：Rectangular image block is chosen centered on the first pixel；
Similar rectangular image block chooses module：Choose similar rectangle respectively centered on some pixels beyond the first pixel
Image block, the distance between two rectangular image blocks are calculated, by some similar rectangular image blocks by distance from closely to remote sequence, and select
K similar rectangular image blocks before taking；
Similarity function computing module：Similarity function of the rectangular image block to similar rectangular image block is calculated, chooses K
Similarity function is more than the similar rectangular image block of predetermined threshold in similar rectangular image block.
Preferably, the rectangular image block is chosen module and included：Centered on pixel i, r is that radius chooses rectangular image block
pi, rectangular image block piIt is interior to include the individual pixels of (2r+1) × (2r+1) altogether.
Preferably, the similar rectangular image block is chosen module and included：Centered on some pixel j beyond pixel i, r
Similar rectangular image block p is chosen for radiusj, similar rectangular image block pjIt is interior to include the individual pixels of (2r+1) × (2r+1) altogether, calculate two
The distance between rectangular image block d (i, j),
By some similar rectangular image blocks by distance from closely to remote sequence, and K similar rectangular image blocks before choosing,
d(pi,p1) ＜ d (pi,p2) ＜ d (pi,p3) ＜ ... ＜ d (pi,pK)。
Preferably, the similarity function computing module includes：
Calculate rectangular image block piTo similar rectangular image block pjSimilarity function I (i, j),
Given threshold ε, choose the similar square for being more than ε in K similar rectangular image blocks to rectangular image block similarity function
Shape image block.
Compared with prior art, the present invention has following beneficial effect：
The present invention effectively strengthens the robustness of image block similarity measurement, is easy to follow-up analysis, can effectively be lifted
The stability of algorithm.
Brief description of the drawings
The detailed description made by reading with reference to the following drawings to non-limiting example, further feature of the invention,
Objects and advantages will become more apparent upon：
Fig. 1 is the workflow diagram of the present invention.
Embodiment
With reference to specific embodiment, the present invention is described in detail.Following examples will be helpful to the technology of this area
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill to this area
For personnel, without departing from the inventive concept of the premise, some changes and improvements can also be made.These belong to the present invention
Protection domain.
As shown in figure 1, a kind of Confocal Images block similarity measurement method provided by the invention, including：
Rectangular image block selecting step：Rectangular image block is chosen centered on the first pixel；
Similar rectangular image block selecting step：Choose similar rectangle respectively centered on some pixels beyond the first pixel
Image block, the distance between two rectangular image blocks are calculated, by some similar rectangular image blocks by distance from closely to remote sequence, and select
K similar rectangular image blocks before taking；
Similarity function calculation procedure：Similarity function of the rectangular image block to similar rectangular image block is calculated, chooses K
Similarity function is more than the similar rectangular image block of predetermined threshold in similar rectangular image block.
Rectangular image block selecting step includes：Centered on pixel i, r is that radius chooses rectangular image block pi, rectangular image
Block piIt is interior to include the individual pixels of (2r+1) × (2r+1) altogether.
Similar rectangular image block selecting step includes：Centered on some pixel j beyond pixel i, r is that radius chooses phase
Like rectangular image block pj, similar rectangular image block pjIt is interior include the individual pixels of (2r+1) × (2r+1) altogether, two rectangular image blocks of calculating it
Between distance d (i, j),
By some similar rectangular image blocks by distance from closely to remote sequence, and K similar rectangular image blocks before choosing,
d(pi,p1) ＜ d (pi,p2) ＜ d (pi,p3) ＜ ... ＜ d (pi,pK)。
Similarity function calculation procedure includes：
Calculate rectangular image block piTo similar rectangular image block pjSimilarity function I (i, j),
Given threshold ε, choose the similar square for being more than ε in K similar rectangular image blocks to rectangular image block similarity function
Shape image block.
According to above-mentioned Confocal Images block similarity measurement method, a kind of Confocal Images block that the present invention also provides is similar
Measuring system is spent, including：
Rectangular image block chooses module：Rectangular image block is chosen centered on the first pixel；
Similar rectangular image block chooses module：Choose similar rectangle respectively centered on some pixels beyond the first pixel
Image block, the distance between two rectangular image blocks are calculated, by some similar rectangular image blocks by distance from closely to remote sequence, and select
K similar rectangular image blocks before taking；
Similarity function computing module：Similarity function of the rectangular image block to similar rectangular image block is calculated, chooses K
Similarity function is more than the similar rectangular image block of predetermined threshold in similar rectangular image block.
Rectangular image block, which chooses module, to be included：Centered on pixel i, r is that radius chooses rectangular image block pi, rectangular image
Block piIt is interior to include the individual pixels of (2r+1) × (2r+1) altogether.
Similar rectangular image block, which chooses module, to be included：Centered on some pixel j beyond pixel i, r is that radius chooses phase
Like rectangular image block pj, similar rectangular image block pjIt is interior include the individual pixels of (2r+1) × (2r+1) altogether, two rectangular image blocks of calculating it
Between distance d (i, j),
By some similar rectangular image blocks by distance from closely to remote sequence, and K similar rectangular image blocks before choosing,
d(pi,p1) ＜ d (pi,p2) ＜ d (pi,p3) ＜ ... ＜ d (pi,pK)。
Similarity function computing module includes：
Calculate rectangular image block piTo similar rectangular image block pjSimilarity function I (i, j),
Given threshold ε, choose the similar square for being more than ε in K similar rectangular image blocks to rectangular image block similarity function
Shape image block.
One skilled in the art will appreciate that except realizing system provided by the invention in a manner of pure computer readable program code
And its beyond each device, module, unit, completely can be by the way that method and step progress programming in logic be provided come the present invention
System and its each device, module, unit with gate, switch, application specific integrated circuit, programmable logic controller (PLC) and embedding
Enter the form of the controller that declines etc. to realize identical function.So system provided by the invention and its every device, module, list
Member is considered a kind of hardware component, and is used to realize that device, module, the unit of various functions also may be used to what is included in it
To be considered as the structure in hardware component；It both can be real that will can also be considered as device, module, the unit of realizing various functions
The software module of existing method can be the structure in hardware component again.
The specific embodiment of the present invention is described above.It is to be appreciated that the invention is not limited in above-mentioned
Particular implementation, those skilled in the art can make a variety of changes or change within the scope of the claims, this not shadow
Ring the substantive content of the present invention.In the case where not conflicting, the feature in embodiments herein and embodiment can any phase
Mutually combination.
Claims (8)
- A kind of 1. Confocal Images block similarity measurement method, it is characterised in that including：Rectangular image block selecting step：Rectangular image block is chosen centered on the first pixel；Similar rectangular image block selecting step：Choose similar rectangular image respectively centered on some pixels beyond the first pixel Block, the distance between two rectangular image blocks are calculated, by some similar rectangular image blocks by distance from closely to remote sequence, and before selection K similar rectangular image blocks；Similarity function calculation procedure：Similarity function of the rectangular image block to similar rectangular image block is calculated, it is individual similar to choose K Similarity function is more than the similar rectangular image block of predetermined threshold in rectangular image block.
- 2. Confocal Images block similarity measurement method according to claim 1, it is characterised in that the rectangular image block Selecting step includes：Centered on pixel i, r is that radius chooses rectangular image block pi, rectangular image block piIt is interior to include (2r+1) altogether The individual pixels of × (2r+1).
- 3. Confocal Images block similarity measurement method according to claim 2, it is characterised in that the similar histogram As block selecting step includes：Centered on some pixel j beyond pixel i, r is that radius chooses similar rectangular image block pj, phase Like rectangular image block pjIt is interior to include the individual pixels of (2r+1) × (2r+1) altogether, the distance between two rectangular image blocks d (i, j) is calculated,<mrow> <mi>d</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <mo>|</mo> <mo>|</mo> <msub> <mi>p</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>p</mi> <mi>j</mi> </msub> <mo>|</mo> <msubsup> <mo>|</mo> <mn>2</mn> <mn>2</mn> </msubsup> </mrow> <mrow> <mo>(</mo> <mn>2</mn> <mi>r</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> <mo>&times;</mo> <mo>(</mo> <mn>2</mn> <mi>r</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> </mfrac> </mrow>By some similar rectangular image blocks by distance from closely to remote sequence, and K similar rectangular image blocks before choosing,d(pi,p1) ＜ d (pi,p2) ＜ d (pi,p3) ＜ ... ＜ d (pi,pK)。
- 4. Confocal Images block similarity measurement method according to claim 3, it is characterised in that the similarity function Calculation procedure includes：Calculate rectangular image block piTo similar rectangular image block pjSimilarity function I (i, j),<mrow> <mi>I</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <msub> <mi>p</mi> <mi>i</mi> </msub> <mo>&CenterDot;</mo> <msub> <mi>p</mi> <mi>j</mi> </msub> </mrow> <mrow> <mo>|</mo> <mo>|</mo> <msub> <mi>p</mi> <mi>i</mi> </msub> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> <mo>&times;</mo> <mo>|</mo> <mo>|</mo> <msub> <mi>p</mi> <mi>j</mi> </msub> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> </mfrac> </mrow>Given threshold ε, choose the similar histogram for being more than ε in K similar rectangular image blocks to rectangular image block similarity function As block.
- A kind of 5. Confocal Images block similarity measurement system, it is characterised in that including：Rectangular image block chooses module：Rectangular image block is chosen centered on the first pixel；Similar rectangular image block chooses module：Choose similar rectangular image respectively centered on some pixels beyond the first pixel Block, the distance between two rectangular image blocks are calculated, by some similar rectangular image blocks by distance from closely to remote sequence, and before selection K similar rectangular image blocks；Similarity function computing module：Similarity function of the rectangular image block to similar rectangular image block is calculated, it is individual similar to choose K Similarity function is more than the similar rectangular image block of predetermined threshold in rectangular image block.
- 6. Confocal Images block similarity measurement system according to claim 5, it is characterised in that the rectangular image block Choosing module includes：Centered on pixel i, r is that radius chooses rectangular image block pi, rectangular image block piIt is interior to include (2r+1) altogether The individual pixels of × (2r+1).
- 7. Confocal Images block similarity measurement method according to claim 6, it is characterised in that the similar histogram Choosing module as block includes：Centered on some pixel j beyond pixel i, r is that radius chooses similar rectangular image block pj, phase Like rectangular image block pjIt is interior to include the individual pixels of (2r+1) × (2r+1) altogether, the distance between two rectangular image blocks d (i, j) is calculated,<mrow> <mi>d</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <mo>|</mo> <mo>|</mo> <msub> <mi>p</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>p</mi> <mi>j</mi> </msub> <mo>|</mo> <msubsup> <mo>|</mo> <mn>2</mn> <mn>2</mn> </msubsup> </mrow> <mrow> <mo>(</mo> <mn>2</mn> <mi>r</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> <mo>&times;</mo> <mo>(</mo> <mn>2</mn> <mi>r</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> </mfrac> </mrow>By some similar rectangular image blocks by distance from closely to remote sequence, and K similar rectangular image blocks before choosing,d(pi,p1) ＜ d (pi,p2) ＜ d (pi,p3) ＜ ... ＜ d (pi,pK)。
- 8. Confocal Images block similarity measurement method according to claim 7, it is characterised in that the similarity function Computing module includes：Calculate rectangular image block piTo similar rectangular image block pjSimilarity function I (i, j),<mrow> <mi>I</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <msub> <mi>p</mi> <mi>i</mi> </msub> <mo>&CenterDot;</mo> <msub> <mi>p</mi> <mi>j</mi> </msub> </mrow> <mrow> <mo>|</mo> <mo>|</mo> <msub> <mi>p</mi> <mi>i</mi> </msub> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> <mo>&times;</mo> <mo>|</mo> <mo>|</mo> <msub> <mi>p</mi> <mi>j</mi> </msub> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> </mfrac> </mrow>Given threshold ε, choose the similar histogram for being more than ε in K similar rectangular image blocks to rectangular image block similarity function As block.
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