CN101909143B - Image detection device and method thereof - Google Patents
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Abstract
The invention discloses an image detection device, used for receiving a video stream containing at least one picture; wherein each picture comprises a plurality of lines of data, each line of data comprises a plurality of pixels, and each picture shows an image and a shielding side. The image detection device comprises a characteristic unit and a search engine; wherein the characteristic unit receives a plurality of pixels in sequence, so as to determine pixel characteristic value for each pixel; the search engine comprises an image comparator and a shielding side comparator, wherein the image comparator is used for measuring the pixel characteristic value of the current pixel, so as to judge whether the pixel belongs to the image or not, and the shielding side comparator is used for measuring the pixel characteristic value of the current pixel, so as to judge whether the pixel belongs to the shielding side or not; and the search engine is used for speculating the image position basedon the judging results of the image comparator and the shielding comparator. The invention also discloses an image detection method.
Description
Technical field
The invention relates to video processing technique, refer to image detection device and the method for a kind of recognition image position especially.
Background technology
Digital Television provides 16: 9 wide screen size effectively to enlarge and has viewed and admired the visual field, allows the audience as placing oneself in the midst of in the image frame.Because traditional analog television is many to be that 4: 3 form is made video pictures with length-width ratio, must handle via suitable conversion proportion, just is apparent on the panavision.In like manner, if desire is watched the high image quality video pictures made from 16: 9 ratios by traditional analog television, also need corresponding conversion proportion to handle.
Consult Fig. 1, general conversion proportion processing meeting comes convergent-divergent raw frames 7 with the most appropriate ratio, but the form ratio that the institute's desire that can't fit like a glove is usually made.At this moment, how with the modes that increase the black cover side place of covering the shortage.Therefore, video pictures 8 generally includes picture material 81 and cover side content 82.
Wherein a kind of scan mode of video is alternating expression (interlaced) scanning, refers to that each picture is divided into bigraph field (even field) to be transmitted with strange figure (an odd field).When multimedia chip receives this kind video, can carry out release of an interleave (de-interlace) processing to it and be presented in display floater again.And the release of an interleave processing selects for use a plurality of neighborhood graph field to carry out dynamic compensation usually and interpolation is handled.If do not know the position of image 81 and cover side 82 in advance, and mistake will be wherein the image 81 of a figure field and the cover side 82 of another figure field do calculation process, will cause incorrect dynamic compensation, also can interpolation go out not expected result.
In addition, multimedia chip carries out image that other need feed back (feedback) computing when handling and since must comparison at present with previous figure field/frame, may cause the image 81 of cross processing one figure field/frame and the cover side 82 of another figure field/frame, and generation flaw phenomenon, for example noise processed.So before release of an interleave or the processing of other image, know that in advance image 81 positions and 82 positions, cover side are necessary preparation.
Summary of the invention
Therefore, purpose of the present invention, namely provide a kind of can the recognition image position and image detection device and the method for position, cover side.
So, image detection device of the present invention is applicable to and receives the video flowing that comprises at least one picture, each picture comprises multi-column data, and each columns is according to having a plurality of pixels, and each picture presents an image and a cover side, this image detection device comprises: characteristics unit receives these a plurality of pixels in regular turn and thinks that each pixel determines a pixel characteristic value; And search engine, comprising: Image Comparator, whether the pixel characteristic value of measurement current pixel belongs to image to judge it; And the cover side comparator, whether the pixel characteristic value of measurement current pixel belongs to the cover side to judge it; This search engine is inferred the picture position based on the judgement of this Image Comparator and this cover side comparator.Wherein, this characteristics unit is divided into a luminance component and two chroma components with each pixel, and the respective pixel characteristic value is set at the twice luminance component and these chroma components add the General Logistics Department again divided by four.
Image detecting method of the present invention is applicable to the video flowing that comprises at least one picture, each picture comprises multi-column data, and each columns is according to having a plurality of pixels, and each picture presents an image and a cover side, and this image detecting method comprises following steps: in these pixels each determines a pixel characteristic value; Weigh the pixel characteristic value of current pixel, whether belong to image to judge it; Weigh the pixel characteristic value of current pixel, whether belong to the cover side to judge it; And according to judged result supposition picture position.Wherein, determine the step of this pixel characteristic value to comprise following substep: each pixel is divided into a luminance component and two chroma components; And the respective pixel characteristic value is set at the twice luminance component and these chroma components add the General Logistics Department again divided by four.
Description of drawings
Fig. 1 is a schematic diagram, illustrates to use the proper proportion convergent-divergent raw frames video pictures that desire is made to be presented in;
Fig. 2 is the calcspar of first preferred embodiment of an image detection device of the present invention;
Fig. 3 is a schematic diagram, and the search area of this preferred embodiment is described;
Fig. 4 (a)～(d) is schematic diagram, and the relative position relation of each search method institute operating characteristic value of this preferred embodiment is described;
Fig. 5 is the flow chart of first preferred embodiment of an image detecting method of the present invention; And
Fig. 6 is a flow chart, and the affirmation program of the last confirmation unit of this preferred embodiment is described.
[main element label declaration]
1 characteristics unit, 2 search engines
212 cover side comparators, 213 determining devices
Search unit 221 Image Comparators 22 times
222 cover side comparators, 223 determining devices
232 cover side comparators, 233 determining devices
24 right unit 241 Image Comparators of searching
242 cover side comparators, 243 determining devices
Confirmation unit on 3 validator 31
32 times confirmation unit 33 left confirmation units
34 right confirmation unit 4 column buffers
61～65 steps 611～612 substeps
621～622 substeps, 641～644 substeps
61 '～64 ' step 61 "～64 " step
Embodiment
About aforementioned and other technology contents, characteristics and effect of the present invention, in the following detailed description that cooperates with reference to two graphic preferred embodiments, can clearly present.
Before the present invention is described in detail, be noted that in the following description content similar elements is to represent with identical numbering.
First preferred embodiment
Consult Fig. 2, image detection device of the present invention is applicable to that reception one comprises the video flowing of a plurality of pictures, the resolution of every picture is M * N, comprise the N columns according to (for example: the 1st row, the 2nd row ... n row ...), and each columns is according to having M pixel (for example: the 1st pixel, the 2nd pixel ... the m pixel ...).This preferred embodiment comprises characteristics unit 1, search engine 2 and validator 3.This search engine 2 comprise search unit 21, search unit 22 down, unit 23 and the right unit 24 of searching are searched in a left side, and each is searched unit 21,22,23,24 and comprises Image Comparator 211,221,231,241, cover side comparator 212,222,232,242 and determining device 213,223,233,243.This validator 3 comprises confirmation unit 31, following confirmation unit 32, left confirmation unit 33 and right confirmation unit 34.
This characteristics unit 1 receive go up search end position reg_SEARCH_U, search original position reg_SEARCH_D down, end position reg_SEARCH_L and the right original position reg_SEARCH_R that searches are searched in a left side, and can use the last search area that defines each picture, following search area, left search area and right search area, as shown in Figure 3.
This characteristics unit 1 also receives the pixels after a column buffer (line buffer) 4 postpones such as the pixel of each search area and its in regular turn, and calculate the pixel characteristic value of each pixel, with output top characteristic value U, below characteristic value D, present characteristic value C, left characteristic value L, and right-hand characteristic value R.And its grade concerns respectively shown in Fig. 4 (a)～(d) in the position of institute's respective pixel in the search area of upper and lower, left and right.
In the present embodiment, be that each pixel is divided into a luminance component y and two chroma component u, v, and make the pixel characteristic value of each pixel be set at (1/4) (2y+|u|+|v|) that wherein u and v are all symbol (signed) data kenel, | X| represents the absolute value of X.This is because luminance component y is the principal element that determines pixel characteristic, so give bigger weight.
But the basis vector of pixel also can select for use other basis vector to constitute, not as limit.And the pixel characteristic value also can adopt other formula that can highlight pixel characteristic to represent except aforementioned set point, not as limit.
Image detection device of the present invention can be respectively in upper and lower a, left side and the right search area detected image position, at this, explanation is earlier namely gone up search method about the detection mode of last search area.
Last search method
Consult Fig. 5, the performed last search method of first preferred embodiment of image detecting method of the present invention comprises following steps:
Step 61: each group data (in the present embodiment, each group refers to each row) of search area are gone up in 211 assessments of this Image Comparator, with infer a representative graph as initial row first on estimate the position.
And step 61 comprises following substep:
Substep 611: this Image Comparator 211 calculates the number of pixels that is assessed as image in the present columns certificate.When present characteristic value C does not fall within maximum cover side value reg_BLANK
MaxWith minimum cover side value reg_BLANK
MinThe scope that defines, then assessing respective pixel is image pixel, at this moment, this Image Comparator 211 makes epigraph counting IMAGE_U_cnt add 1, as equation (1).This is because the brightness of cover side low order comparatively usually, but is not extremely black (being zero luminance).
IF((C＞reg_BLANK
max)||(C＜reg_BLANK
min))
IMAGE_U_cnt++ (1)
Substep 612: this Image Comparator 211 relatively this epigraph counting IMAGE_U_cnt whether greater than a horizontal image judge reg_H_IMAGE (for example be each columns certificate number of pixels 3/4), estimate the position on first to infer.
If it is the initial row of image according to (being assumed to be the n row) that the result, then infers present columns for being, and evaluate that to estimate the position on first be that n is listed as (shown in equation (2)), and jump to step 63.If not, then do not export and estimate the position on first, and make epigraph counting IMAGE_U_cnt reset to zero, and rebound substep 611, up to the assessment of finishing search area.
IF(IMAGE_U_cnt＞reg_H_IMAGE)
return(n) (2)
Step 62: each group data (in the present embodiment, each group refers to each row) of search area are gone up in 212 assessments of this cover side comparator, infer which row the cover side ends at, with export a representative graph as initial row second on estimate the position.Preferably, step 61 and step 62 are to carry out simultaneously.
And step 62 comprises following substep:
Substep 621: this cover side comparator 212 calculates the number of pixels that is assessed as the cover side in the present columns certificate.When the relation in a similar difference reg_ALIKE and a totally different difference reg_DIFFER of this present characteristic value C and the difference of contiguous characteristic value L, D satisfies equation (3), the pixel that represents the present characteristic value C of this correspondence is close with the left pixel feature, and it is totally different with the downside pixel characteristic, so the assessment respective pixel is the cover side pixel, at this moment, this cover side comparator 212 makes on one cover side counting BLANK_U_cnt add 1.
IF((|C-L|≤reg_ALIKE)&&(|C-D|≥reg_DIFFER))
BLANK_U_cnt++ (3)
Substep 622: this cover side comparator 212 is relatively gone up cover side counting BLANK_U_cnt and whether is judged reg_H_BLANK (as: number of pixels of each columns certificate 3/4) more than or equal to a horizontal cover side, estimates the position on second to infer.
Row may be the cover side end columns if the result, then infers n for being, and evaluate that to estimate the position on second be that n+1 is listed as (shown in equation (4)), and jump to step 63.If not, then do not export and estimate the position on second, and make hypograph counting IMAGE_D_cnt reset to zero, and rebound substep 621, up to the assessment of finishing search area.
IF(BLANK_U_cnt≥reg_H_BLANK)
return(n+1) (4)
Step 63: in the processing procedure of last search area, this determining device 213 is by the row ground heddle should wait comparator 211,212 supposition to decide a representative graph as the last rough estimate position ROUGH_U of initial row.Its supposition situation has three:
Situation one: estimate the position on first when this determining device 213 receives, just it is considered as rough estimate position ROUGH_U, and does not consider to estimate on second position; This also means, estimates the position on these if receive simultaneously, still can upgrade to estimate the position on first.
Situation two: not estimating the position on second when this determining device 213 does not receive to estimate the position on first and receive, is to be used as estimate the position on second as rough estimate position ROUGH_U;
Situation three: when the both does not receive, then do not upgrade rough estimate position ROUGH_U, and jump to step 65.
Execution reason that it should be noted that situation one has two.The one, when handling present row (n row), estimate position (set up equation (2), (4)) on first and second if receive simultaneously, this equivalence will be n and n+1 respectively.For last search area, what wish to obtain is the initial row of image that early occur, so be output to estimate the position on first.
If another be because n capable be pure red image and when differing greatly with the capable pixel characteristic of n+1, cover side comparator 212 may be judged n behavior cover side end column by accident.But so long as the big multipotency of general pattern is set up equation (1), (2), so the confidence level of Image Comparator 211 is higher.Therefore, estimate the position in the present embodiment employing first and upgrade rough estimate position ROUGH_U.
Step 64: on this confirmation unit 31 confirm rough estimate position ROUGH_U on this whether be really the initial row of representative image one on accurate location EXACT_U.
Consult Fig. 6, and the affirmation program package of step 64 is drawn together following substep:
Substep 641: upward whether rough estimate position ROUGH_U is reasonable in confirmation unit 31 assessments on this.If not, then keep accurate location EXACT_U, and jump to step 65; If then jump to substep 642.
One of this last confirmation unit 31 may be implemented aspect and be, for example, in an application-specific, approximately go since the 26th of a picture in the known image position, and upward position reasonable value reg_REASON_U is 20 in the confirmation unit reception one, is only the picture position of reasonable detection afterwards to represent the 20th row.If the last rough estimate position ROUGH_U that receives is 9, then be judged as unreasonable.
And another may to implement aspect be that confirmation unit 31 has a pixel averager on this, can do the present characteristic value C of columns certificate to add overall average.If not belonging to image according to mean value, the corresponding columns of last rough estimate position ROUGH_U (just do not fall within maximum and minimum cover side value reg_BLANK
Max, reg_BLANK
MinThe scope that defines), then should go up confirmation unit 31 is judged as unreasonable.
Substep 642: confirmation unit 31 judges whether go up rough estimate position ROUGH_U is same as the confirmed accurate location EXACT_U of going up on this.If then keep accurate location EXACT_U, and jump to step 65.If not, then jump to substep 643.
Substep 643: go up confirmation unit 31 and judge whether go up rough estimate position ROUGH_U is same as tentative position on.If not, keep accurate location EXACT_U, and above rough estimate position ROUGH_U is the tentative position TEMP_U that goes up after upgrading, and to make a tentative counting be zero, and jump to step 65; If jump to substep 644.
Substep 644: confirmation unit 31 judges whether to fix tentatively the metering critical value greater than one by tentative counting on this.If not, then keep accurate location EXACT_U, and the tentative counting of order adds 1; If serve as last accurate location EXACT_U after upgrading with tentative position on this then.
Step 65: repeating step 61 carries out the last searching procedure of next picture to step 64, stops to receive this video flowing up to this image detection device.
Execution in step 64 is because possibility determining device 213 receives the value instability of rough estimate position ROUGH_U at every turn, so when this value unusual fluctuation, to the value after unusual fluctuation metering again.During greater than tentative metering critical value, just formal the renewal gone up accurate location EXACT_U for going up rough estimate position ROUGH_U up to the continuous frequency of occurrence of same sizes values.
Following search method
And the following search method of first preferred embodiment of image detecting method of the present invention detects down the image end column of search area.
Step 61 ' be that Image Comparator 221 is inferred present group (in the present embodiment by the calculating of image pixel number (being hypograph counting IMAGE_D_cnt), group refers to the n row at present) whether be image column, estimate position (n row) for one first time to export, as equation (5), (6).And can carry out whole search area down and detect, to obtain the image end column.
IF((C＞reg_BLANK
max)||(C＜reg_BLANK
min))
IMAGE_D_cnt++ (5)
IF(IMAGE_D_cnt＞reg_H_IMAGE)
save(n) (6)
Step 62 ' be that cover side comparator 222 is inferred present group (in the present embodiment by the calculating of cover side number of pixels (namely descending cover side counting BLANK_D_cnt), group refers to the n row at present) whether be the initial row in cover side, estimate position (n-1 row) for one second time to export, as equation (7), (8).
IF((|C-L|≤reg_ALIKE)&&(|C-U|≥reg_DIFFER))
BLANK_D_cnt++ (7)
IF(BLANK_D_cnt≥reg_H_BLANK)
save(n-1) (8)
And step 63 ' the start of determining device 223 similar in appearance to the determining device 213 of step 63, this is based on for following search area, what hope obtained is the image end column of later appearance, and whether Image Comparator 221 assessment is that the confidence level of image pixel is higher, so serve as preferentially to export to estimate the position on first.In addition, much more no longer the affirmation mode of this time confirmation unit 32 with upward confirmation unit 31 is identical, so to explain.
A left side/right search method
It is the position that replaces characteristic value C, D, L in the search area with the position of characteristic value C, R, U respectively in left search area.And be the position of characteristic value C, U, L in the search area under position with characteristic value C, L, U replaces respectively in right search area.And be to realize with respect to the mode of last/following search method with 45 degree mirrors, so do not repeat them here.
Second preferred embodiment
A left side/right the search method that is different from first preferred embodiment is adopted in second preferred embodiment, at this, explains with regard to left search method earlier.
Left side search method
This Image Comparator 231 be based on characteristic value C in maximum cover side value reg_BLANK
MaxWith minimum cover side value reg_BLANK
MinRelation, assess each group data (each group refer to each row) in the present embodiment, of left search area to infer which image originates in.Its pixel pointwise along present columns certificate detects, up to (C＞reg_BLANK
Max) || (C＜reg_BLANK
Min) establishment or the end of left search area, the pointwise that namely stops to be listed as at present detects, and relatively is somebody's turn to do establishment position and supposition picture position, a left side, and manner of comparison is as follows:
Situation 1: infer the picture position when setting up the position less than a left side, make that a left picture count IMAGE_L_cnt is 1, and upgrade the left side that present picture recorded and infer the picture position to set up the position;
Situation 2: when this two position equates, make left picture count IMAGE_L_cnt add 1, and keep the supposition picture position, a left side that present picture has recorded;
Situation 3: when greater than the time, make left picture count IMAGE_L_cnt subtract 1, and keep the left side that present picture recorded and infer the picture position.But, be 0 if subtract 1 back gained, this Image Comparator 231 can reset to 1 with left picture count IMAGE_L_cnt, and upgrades the supposition picture position, a left side that present picture has recorded to set up the position.
Then, whether more left picture count IMAGE_L_cnt judges reg_V_IMAGE greater than a vertical image.If comparative result is for being, this Image Comparator 231 also more present picture is inferred the picture position with the left side of previous picture, and the smaller is as updating value in selection, and updating value is considered as one first left side estimates the position, and to produce one be the first left useful signal of 1 value.If comparative result is then kept the left side of previous picture and inferred the picture position for not, and to make this first left useful signal be 0.
On the other hand, this cover side comparator 232 be based on characteristic value C, U, R in similar difference reg_ALIKE, totally different difference reg_DIFFER and one with reference to cover side value reg_BLANK
RefRelation, assess each group data (each group refer to each row) in the present embodiment, of left search area to infer which the cover side ends at.Roughly the same with the start of this Image Comparator 231, difference be in the pointwise testing conditions be (| the ﹠amp of C-U|≤reg_ALIKE); ﹠amp; (| the ﹠amp of C-R| 〉=reg_DIFFER); ﹠amp; (C＜reg_BLANK
Ref), and be updating value to be added 1 just export one second left side and estimate the position at last, and export the second left useful signal of a correspondence.
And these determining device 233 comprehensive these comparators 231,232 output infer that a representative graph is as the left rough estimate position ROUGH_L of initial row.Its supposition situation has four:
Situation one: when these left useful signals were 1, the position was estimated on comparison first left side and the position is estimated on second left side, and the smaller is used as left rough estimate position ROUGH_L to choose wherein;
Situation two: when the first and second left useful signals were respectively 1,0, estimating the position with first left side was left rough estimate position ROUGH_L;
Situation three: when the first and second left useful signals are respectively 0,1, be left rough estimate position ROUGH_L with the second left useful signal;
Situation four: when both are 0, keep original left rough estimate position ROUGH_L.
Can be found by above description, the first left useful signal, the second left useful signal and left rough estimate position ROUGH_L upgrade with less probable value, this is because for left search area, and what hope obtained is the image initial row that early occurs, just more near this picture left side limit person.
Moreover the right unit 24 of searching is to handle these characteristic values U, C, L with the symmetric mode of searching unit 23 with a left side, and for inference getting the persond having ordinary knowledge in the technical field of the present invention, so do not repeat them here.
In sum, position of the present invention image detection device is only by a column buffer 4 auxiliary realizations, and use these to search unit 21,22,23,24 and analyze video content and whether be image, and verified with these confirmation units 31,32,33,34, make recognition mechanism more rigorous, so can reach purpose of the present invention really.
The above person of thought, it only is preferred embodiment of the present invention, when not limiting scope of the invention process with this, namely the simple equivalent of doing according to claim scope of the present invention and invention description content generally changes and modifies, and all still belongs in the scope that claim of the present invention contains.
Claims (16)
1. image detection device is applicable to receive the video flowing that comprises at least one picture that each picture comprises multi-column data, and each columns is according to having a plurality of pixels, and each picture presents an image and a cover side, and this image detection device comprises:
Characteristics unit receives these a plurality of pixels in regular turn and thinks that each pixel determines a pixel characteristic value; And
Search engine comprises:
Image Comparator, whether the pixel characteristic value of measurement current pixel belongs to image to judge it; And
The cover side comparator, whether the pixel characteristic value of measurement current pixel belongs to the cover side to judge it; This search engine is inferred the picture position based on the judgement of this Image Comparator and this cover side comparator,
Wherein, this characteristics unit is divided into a luminance component and two chroma components with each pixel, and the respective pixel characteristic value is set at the twice luminance component and these chroma components add the General Logistics Department again divided by four.
2. image detection device according to claim 1, wherein, this characteristics unit also defines search area, and it may be the number of image pixel in each group data that this Image Comparator calculates in this search area, to export first estimated position; It may be the number of cover side pixel in each group data that this cover side comparator calculates in this search area, to export second estimated position.
3. image detection device according to claim 1, wherein, this characteristics unit also defines search area, the pixel pointwise along present columns certificate in this search area of this Image Comparator detects, make image judge the pixel of setting up up to detecting one, and export first estimated position based on this establishment position; The pixel pointwise along present columns certificate in this search area of this cover side comparator detects, and makes the cover side judge the pixel of setting up up to detecting one, and exports second estimated position based on this establishment position.
4. image detection device according to claim 1 is applicable to receive maximum cover side value and minimum cover side value, and wherein, in the characteristic value of current pixel did not fall within the scope that these cover side values define, then this Image Comparator judgement current pixel belonged to image.
5. image detection device according to claim 1, be applicable to and receive similar difference and totally different difference, wherein, when current pixel to same group in the characteristic value gap of neighbor less than this similar difference, and when the characteristic value gap of the pixel of same position was greater than this totally different difference in current pixel and the adjacent set, this cover side comparator inferred that current pixel belongs to the cover side.
6. image detection device according to claim 2, wherein, this Image Comparator is optionally to export this first estimated position, this cover side comparator is optionally to export this second estimated position, and this search engine also comprises determining device, as long as this determining device receives this first estimated position, just it is considered as the rough estimate position; And when this determining device receives only this second estimated position, be that this rough estimate position is used as in this second estimated position.
7. image detection device according to claim 6, wherein, this Image Comparator is also exported first useful signal, this cover side comparator is also exported second useful signal, and this search engine also comprises determining device, be when effective when these useful signals show these estimated positions, choose wherein and be used as this rough estimate position near this picture side person; When only wherein a useful signal show when effective, choose corresponding estimated position and be used as this rough estimate position.
8. image detection device according to claim 1 also comprises validator, when the picture position that this search engine is inferred is different from an accurate location, this is inferred the value metering again of picture position; Be worth continuous frequency of occurrence greater than tentative metering critical value up to this, just be used as this accurate location after the renewal with this supposition picture position.
9. an image detecting method is applicable to the video flowing that comprises at least one picture, and each picture comprises multi-column data, and each columns is according to having a plurality of pixels, and each picture presents an image and a cover side, and this image detecting method comprises following steps:
For in these a plurality of pixels each determines a pixel characteristic value;
Weigh the pixel characteristic value of current pixel, whether belong to image to judge it;
Weigh the pixel characteristic value of current pixel, whether belong to the cover side to judge it; And
Infer the picture position according to judged result,
Wherein, determine the step of this pixel characteristic value to comprise following substep:
Each pixel is divided into a luminance component and two chroma components; And
The respective pixel characteristic value is set at the twice luminance component and these chroma components add the General Logistics Department again divided by four.
10. image detecting method according to claim 9, also comprising a step is the definition search area, wherein, infers that the step of picture position comprises following substep:
Calculating in this search area may be the number of image pixel in each group data, to export first estimated position; And
Calculating in this search area may be the number of cover side pixel in each group data, to export second estimated position.
11. image detecting method according to claim 9, also comprising a step is the definition search area, wherein, infers that the step of picture position comprises following substep:
Pixel pointwise along present columns certificate in this search area detects, and makes image judge the pixel of setting up up to detecting one, and exports first estimated position based on this establishment position; And
Pixel pointwise along present columns certificate in this search area detects, and makes the cover side judge the pixel of setting up up to detecting one, and exports second estimated position based on this establishment position.
12. image detecting method according to claim 9 wherein, judges that characteristic value that step that current pixel belongs to image is based on current pixel does not fall within the scope that maximum cover side value and minimum cover side value define.
13. image detecting method according to claim 9, wherein, the step that the judgement current pixel belongs to the cover side is to receive similar difference and totally different difference, and when the characteristic value gap of current pixel and same group of interior neighbor less than this similar difference, and when the characteristic value gap of the pixel of same position is greater than this totally different difference in current pixel and the adjacent set, infer that this current pixel belongs to the cover side.
14. image detecting method according to claim 10 wherein, is optionally to export this first estimated position and this second estimated position, and infers that the step of picture position also comprises following substep:
As long as receive this first estimated position, just it is considered as a rough estimate position; And
When receiving only this second estimated position, be that this rough estimate position is used as in this second estimated position.
15. image detecting method according to claim 14 wherein, infers that the step of picture position also comprises following substep:
Output is relevant to first useful signal of this first estimated position;
Output is relevant to second useful signal of this second estimated position;
Be when effective when these useful signals show these estimated positions, choose wherein and be used as this rough estimate position near this picture side person;
When only wherein a useful signal show when effective, choose corresponding estimated position and be used as this rough estimate position.
16. image detecting method according to claim 9 wherein, also comprises following steps:
When the picture position of inferring is different from an accurate location, this is inferred the value metering again of picture position; And
Be worth continuous frequency of occurrence greater than tentative metering critical value up to this, just be used as this accurate location after the renewal with this supposition picture position.
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| CN101072373A (en) * | 2006-05-11 | 2007-11-14 | 日本先锋公司 | Image detection device, image processing apparatus, image detection method, method of reducing burn-in of display device, and image detection program |
| CN101094354A (en) * | 2006-06-08 | 2007-12-26 | 索尼株式会社 | Image signal processing apparatus, image display, and image display method |
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| CN101072373A (en) * | 2006-05-11 | 2007-11-14 | 日本先锋公司 | Image detection device, image processing apparatus, image detection method, method of reducing burn-in of display device, and image detection program |
| CN101094354A (en) * | 2006-06-08 | 2007-12-26 | 索尼株式会社 | Image signal processing apparatus, image display, and image display method |
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