CN201548807U - Manuscript skew detection and correction device for duplicator - Google Patents
Manuscript skew detection and correction device for duplicator Download PDFInfo
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- CN201548807U CN201548807U CN2009202094489U CN200920209448U CN201548807U CN 201548807 U CN201548807 U CN 201548807U CN 2009202094489 U CN2009202094489 U CN 2009202094489U CN 200920209448 U CN200920209448 U CN 200920209448U CN 201548807 U CN201548807 U CN 201548807U
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Abstract
The utility model relates to a manuscript skew detection and correction device for a duplicator. The device can detect and correct inclined characters in a manuscript, and comprises a field separation unit, an inclination recognition unit and an inclination correction unit, wherein, the field separation unit is used for separating contents such as characters (including lines), pictures and the like from manuscript images; the inclination recognition unit is connected with the field separation unit and is used for recognizing characters in the manuscript images and calculating the inclination of the characters to obtain the inclination information; and the inclination correction unit is connected with the inclination reorganization unit and is used for adjusting the inclination of the characters in the manuscript images according to the inclination information to enable the characters to accord with the reference direction.
Description
Technical field
The utility model relates to the literal identification and the Flame Image Process of duplicating machine, especially relates to the crooked detection of original copy and the means for correcting of duplicating machine.
Background technology
The most of duplicating machine that uses is verily according to original copy output copy at present.This is favourable for most application scenarios.But in some occasion, place as original copy crooked, or the partial content in the original copy (as literal) relatively original copy be to tilt, this duplicating verily can cause the copy viewing effect bad.Place crooked situation for original copy, can also solve,, and forget that the user to cause copy when adjusting attractive in appearance and need reprint although this can bring some inconvenience by the mode of manual setting.For the situation that the partial content in the original copy tilts,, therefore also can't improve because present copy can not be discerned this inclination.
The utility model content
Technical problem to be solved in the utility model provides a kind of crooked detection of original copy and means for correcting of duplicating machine, can discern and proofread and correct content crooked of original copy, guarantees the attractive in appearance of copy.
The utility model is to solve the problems of the technologies described above crooked detection of original copy and the means for correcting that the technical scheme that adopts is a kind of duplicating machine of proposition, comprises field separative element, degree of tilt recognition unit and slant correction unit.The field separative element is used for literal of scan image original copy (comprising lines) and picture are partly identified, to obtain the composition information of original copy.The degree of tilt recognition unit is used for discerning the literal of original image, and the degree of tilt of calculating literal is to obtain inclination information.The slant correction unit connects the degree of tilt recognition unit, is used for adjusting according to inclination information the degree of tilt of the literal of original image, makes Chinese character unification reference direction.
The utility model is owing to adopt above technical scheme, make it compared with prior art, have following remarkable advantage: by the calculating at literal identification and literal pitch angle, from the position of normal moveout correction literal, guarantee to duplicate efficient attractive in appearance and that improve duplicating, reduced the waste of paper.
Description of drawings
For above-mentioned purpose of the present utility model, feature and advantage can be become apparent, below in conjunction with accompanying drawing embodiment of the present utility model is elaborated, wherein:
Fig. 1 illustrates the copier structure block diagram of the utility model one embodiment.
Fig. 2 illustrates the crooked detection of original copy of duplicating machine of the utility model one embodiment and the structured flowchart of means for correcting.
Fig. 3 illustrates the recognition methods according to lines part of the present utility model.
Fig. 4 illustrates the recognition methods according to lines angle of the present utility model.
Embodiment
Fig. 1 is the copier structure block diagram of the utility model one embodiment.With reference to shown in Figure 1, in the duplicating machine of the utility model one embodiment, be provided with document board 10, scan components 20, graphics processing unit 32 and print components 40.
In the present embodiment, document board 10 is rectangular, and usually is made of clear glass signature plate, is used to place original copy to be duplicated 12.
The cover plate of a shading of document board 10 operated by rotary motion (figure does not show) is to cover original copy 12 when duplicating.White background when cover plate comprises a white sponge as duplicating.
Fig. 2 illustrates the crooked detection of original copy of duplicating machine of the utility model one embodiment and the structured flowchart of means for correcting.With reference to shown in Figure 2, crooked detection of original copy and means for correcting are included in the image processing unit 32, and it further comprises field separative element 201, degree of tilt recognition unit 202 and slant correction unit 203.In addition, also can comprise the processing module that black generation unit 204, color correcting unit 205, unit for scaling 206, filtration treatment unit 207, GTG processing unit 208 etc. are conventional in the image processing unit 32.
Field separative element 201 is to isolate literal (comprising lines) and picture part from original image.
Original image through separating may cause inclination owing to the relation of its placement, also may be because the problem of its content itself exist to tilt, and crooked detection of original copy and means for correcting can overcome these problems.Degree of tilt recognition unit 202 connection area separative elements 201, it can calculate the literal degree of tilt of (comprising lines).These inclination information can be transferred to slant correction unit 203, proofread and correct for it.
On the other hand, can be through the original image of field separative element 201 separation place through black generation unit 204 increase black, the formation cmyk color again through the color revisal, amplifies, dwindles, and filtration treatment and GTG processing.Be understandable that for the white image of black, its color space can be different, and some processing unit, is omissible as color correcting unit 205.
Slant correction unit 203 can be connected the output terminal of GTG processing unit 208, according to the inclination information from degree of tilt recognition unit 202 literal in the original image is proofreaied and correct.For example, when literal was not 0 with respect to the pitch angle of a reference direction, the pitch angle that degree of tilt recognition unit 202 can be adjusted literal was 0, and it meets this reference direction.Image after slant correction unit 203 is proofreaied and correct can be used as the final image output print.
The inclination angle computing method of literal identification and literal (comprising lines) have many, illustrate below.
The detection method of literal, site and picture region is, analyzes by the signal of each pixel that scanning is obtained, judges the concentration feature of original copy various piece.Concentration feature is mainly 3 characteristic quantities, that is: the quantity of the height distribution situation of concentration value, marginal portion and the distribution situation of marginal portion.
Degree of tilt recognition unit 202 can determine word segment, site and picture part based on following differentiation feature: the concentration change in literal/lines zone is bigger, and the concentration change of image-region is less; The marginal portion exists more at character area, in the site, image-region is less; The marginal portion is a continuous distribution in literal/lines zone, relatively disperses at image-region.
The method of discrimination of lines parts is, when detecting a continuous segment distance (as 10mm) for high concentration regional, can be judged to be lines.Wherein, continuous definition is can straight line continuous, also can be have certain section difference with stair-stepping continuously.One section lines along the main scanning direction X of document board is supposed resolution 600dpi (dpi (dots per inch)) shown in Fig. 3, and the size of each pixel is 42 μ m * 42 μ m.Certainly, lines also can be the sub scanning direction Y along document board.
When there is tangible angulation when stepped in continuous lines, Fig. 4 illustrates one section lines that the angle of inclination is arranged.Lines are according to the definition of the coordinate of the coordinate of starting point and terminal point, and the inclined angle alpha of its relative main scanning direction (being set at reference direction at this) can be according to formula α=arctg[(y1-y)/(x1-x)] calculate.
Though the utility model discloses as above with preferred embodiment; right its is not in order to limit the utility model; any those skilled in the art; in not breaking away from spirit and scope of the present utility model; when doing a little modification and perfect, therefore protection domain of the present utility model is worked as with being as the criterion that claims were defined.
Claims (5)
1. crooked detection of the original copy of a duplicating machine and means for correcting is characterized in that comprising:
The field separative element, literal and lines in the identification original image;
The degree of tilt recognition unit connects described field separative element, calculates the degree of tilt of the literal in the described original image, obtains inclination information; And
The slant correction unit connects described degree of tilt recognition unit, adjusts the degree of tilt of the literal in the described original image according to described inclination information, makes Chinese character unification reference direction.
2. crooked detection of original copy as claimed in claim 1 and means for correcting is characterized in that being included in the graphics processing unit of copy.
3. crooked detection of original copy as claimed in claim 2 and means for correcting is characterized in that, described graphics processing unit comprises filtration treatment unit and GTG processing unit, and described slant correction unit connects described GTG processing unit.
4. crooked detection of original copy as claimed in claim 3 and means for correcting is characterized in that, described graphics processing unit also comprises black generation unit and color correcting unit, are connected between described field separative element and the described filtration treatment unit.
5. crooked detection of original copy as claimed in claim 4 and means for correcting is characterized in that described graphics processing unit also comprises unit for scaling.
Priority Applications (1)
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CN2009202094489U CN201548807U (en) | 2009-09-09 | 2009-09-09 | Manuscript skew detection and correction device for duplicator |
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CN2009202094489U CN201548807U (en) | 2009-09-09 | 2009-09-09 | Manuscript skew detection and correction device for duplicator |
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CN2009202094489U Expired - Lifetime CN201548807U (en) | 2009-09-09 | 2009-09-09 | Manuscript skew detection and correction device for duplicator |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2018010547A1 (en) * | 2016-07-12 | 2018-01-18 | 珠海赛纳打印科技股份有限公司 | Image processing method, device, and image forming apparatus |
CN111738960A (en) * | 2020-06-30 | 2020-10-02 | 珠海奔图电子有限公司 | Image processing apparatus, image processing method, and image forming apparatus |
-
2009
- 2009-09-09 CN CN2009202094489U patent/CN201548807U/en not_active Expired - Lifetime
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2018010547A1 (en) * | 2016-07-12 | 2018-01-18 | 珠海赛纳打印科技股份有限公司 | Image processing method, device, and image forming apparatus |
US10582085B2 (en) | 2016-07-12 | 2020-03-03 | Zhuhai Seine Technology Co., Ltd. | Method and device for image processing, and apparatus for image formation |
CN111738960A (en) * | 2020-06-30 | 2020-10-02 | 珠海奔图电子有限公司 | Image processing apparatus, image processing method, and image forming apparatus |
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CX01 | Expiry of patent term |
Granted publication date: 20100811 |
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CX01 | Expiry of patent term |