CN110390629A - Image treatment method and its scanning system - Google Patents
Image treatment method and its scanning system Download PDFInfo
- Publication number
- CN110390629A CN110390629A CN201810332111.0A CN201810332111A CN110390629A CN 110390629 A CN110390629 A CN 110390629A CN 201810332111 A CN201810332111 A CN 201810332111A CN 110390629 A CN110390629 A CN 110390629A
- Authority
- CN
- China
- Prior art keywords
- layer
- color
- image
- arithmetic unit
- raw video
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 239000003086 colorant Substances 0.000 claims abstract description 24
- 238000005192 partition Methods 0.000 claims description 8
- 238000010146 3D printing Methods 0.000 claims description 5
- 238000013507 mapping Methods 0.000 claims description 4
- 238000009499 grossing Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 9
- 238000007639 printing Methods 0.000 description 5
- 238000004020 luminiscence type Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000009466 transformation Effects 0.000 description 3
- 230000005611 electricity Effects 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000016776 visual perception Effects 0.000 description 2
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000001125 extrusion Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 238000003475 lamination Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 238000006116 polymerization reaction Methods 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
-
- G06T3/08—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/10—Geometric effects
- G06T15/20—Perspective computation
- G06T15/205—Image-based rendering
Abstract
A kind of scanning system includes a scanning means and an arithmetic unit.Scanning means scans an object to generate a raw video, and wherein raw video includes multiple colors.Arithmetic unit and scanning means are electrically connected, and arithmetic unit executes an image treatment method, and image treatment method includes: receiving raw video caused by scanning means；Specify a quantity of multiple figure layers；Each color of raw video is distributed one of to multiple figure layers；Determine a height value of each figure layer；And according to each color that each figure layer is included, the height value of each figure layer is mapped to raw video, to generate a high image.
Description
Technical field
The present invention is related a kind of image treatment method and its scanning system, especially a kind of shadow that can produce high image
As processing method and its scanning system.
Background technique
Flat image is converted to stereopsis, and there are many methods of kind, such as: corresponding same object is handled using principle of parallax
Multiple flat images of part, to generate a stereopsis.However, can not be penetrated if user only obtains a sheet of planar image
Aforesaid way is to generate a stereopsis.In addition, traditional image treatment method, needs accurately to handle each in raw video
The image information of a pixel, including many and diverse image informations such as lines, boundary, color, light and shade or image feature values, to generate
Close to the quasi- height image of raw video.
However, traditional image treatment method may be excessively complicated and need more complicated arithmetic system, therefore can not
Suitable for simple light arithmetic unit and scanning system.
In conclusion can produce the image treatment method of high image and its scanning system is mesh that current pole need to make great efforts
Mark.
Summary of the invention
The present invention provides a kind of image treatment method and its scanning system, be using an arithmetic unit, it is original according to one
Multiple colors of image generate multiple figure layers with different height value, to generate a high image.
The image treatment method of one embodiment of the invention includes: input one raw video a to arithmetic unit, wherein original
Image includes multiple colors；Specify a quantity of multiple figure layers；Arithmetic unit distributes each color of raw video to multiple figures
One of layer；Determine a height value of each figure layer；And each color that arithmetic unit is included according to each figure layer, it reflects
The height value of each figure layer is penetrated to raw video, to generate a high image.
The scanning system of another embodiment of the present invention includes a scanning means and an arithmetic unit.Scanning means scanning one
Object is to generate a raw video, and wherein raw video includes multiple colors.Arithmetic unit and scanning means are electrically connected, and are transported
It calculates device and executes an image treatment method, image treatment method includes: receiving raw video caused by scanning means；It is specified more
One quantity of a figure layer；Each color of raw video is distributed one of to multiple figure layers；Determine a height of each figure layer
Value；And according to each color that each figure layer is included, the height value of each figure layer is mapped to raw video, it is high to generate one
Spend image.A kind of image treatment method is also disclosed simultaneously.
The schema elaborate appended by specific embodiment cooperation below, when being easier to understand the purpose of the present invention, skill
Art content, feature and its it is reached the effect of.
Detailed description of the invention
Fig. 1 is a schematic diagram, shows the image treatment method of one embodiment of the invention.
Fig. 2 is a schematic diagram, shows the raw video of one embodiment of the invention.
Fig. 3 is a schematic diagram, shows the number of colours distribution map of one embodiment of the invention.
Fig. 4 is a schematic diagram, shows multiple figure layers of one embodiment of the invention.
Fig. 5 is a schematic diagram, shows few color image of one embodiment of the invention.
Fig. 6 is a schematic diagram, shows the side view of the high image of one embodiment of the invention.
Fig. 7 is a schematic diagram, shows the top view of the 3-dimensional image of one embodiment of the invention.
Fig. 8 is a schematic diagram, shows the central sectional view of the 3-dimensional image of one embodiment of the invention.
Fig. 9 is a schematic diagram, shows the scanning system of one embodiment of the invention.
Description of symbols
S11~S17 step
A raw video
A11, A12, A21, A22, A31, A32, color
C0、C1、C2、C3、C4、C5、C111、
C112、C113、C114、C210、C211、
C212、C213
AL lacks color image
AS 3-dimensional image
B object
H1, H2, H3 height value
L illumination light
L1, L2, L3 figure layer
10 scanning means
11 luminescence units
12 image acquisition units
13 driving units
14 control units
15 platforms
20 arithmetic units
21 processing units
22 display elements
Specific embodiment
It will be described various embodiments of the present invention below, and cooperate schema as illustration.Other than these are described in detail, this
Invention also can be widely performed in other embodiments, and substitution easily, modification, the equivalence changes of any embodiment are all wrapped
Containing within the scope of the invention, and it is subject to claim.In the description of specification, in order to there is reader to the present invention
More completely understand, provides many specific details；However, the present invention may be in clipped or the premise of whole specific details
Under, it is still implementable.Moreover, it is well known that the step of or element be not described in details, to avoid to the present invention formed need not
The limitation wanted.Same or similar element will be indicated in schema with same or like symbol.It is specifically intended that schema is only
Signal is used, not the actual size of representation element or quantity, some details may not drawn completely, succinct in the hope of schema.
Fig. 1 is please referred to, illustrates the image treatment method of one embodiment of the invention below.Firstly, one raw video of input
To an arithmetic unit, wherein raw video includes multiple colors (S11).It should be noted that the meaning of raw video be without
The two-dimensional color image of elevation information.For example, referring to figure 2., raw video A have 6 color A11, A12, A21,
A22,A31,A32.In an embodiment, raw video A is obtained through a camera or a scanning means.In another embodiment
In, user can voluntarily import raw video A to arithmetic unit, such as: by grabbing utilize for the public two on Internet
Image is tieed up, but not limited to this.
In an embodiment, a quantity (S12) for multiple figure layers is specified.In an embodiment, the quantity of figure layer can be by transporting
Produced by calculation device is preset or judges raw video, or by user, voluntarily the modes such as adjustment/setting are determined, but not with this
It is limited.Referring to figure 3., in an embodiment, number of colours distribution map of the arithmetic unit according to raw video is selected therein more
A relative maximum (crest value), to define the quantity of multiple figure layers, wherein COLOR COMPOSITION THROUGH DISTRIBUTION figure can be color range distributed number figure
Or chroma distributed number figure, but not limited to this.For example, number of colours distribution map shown in Fig. 2 have 6 wave crest color C3,
C5, C112, C116, C213, C215, therefore it is 6 that arithmetic unit, which judges automatically possible layer count, but arithmetic unit also can be pre-
If layer count is a fixed value；Or, the quantity that user manually sets multiple figure layers is 3, that is, specified multiple figure layer L1,
The quantity of L2, L3 are 3, as shown in Figure 3.
In an embodiment, arithmetic unit distributes each color of raw video to one of multiple figure layers (S13).Please
Together referring to Fig. 3 and Fig. 4, in an embodiment, number of colours distribution map of the arithmetic unit according to raw video is averagely drilled with K
All color classifications of raw video are multiple clusters (clustering) to correspond to multiple figure layer L1, L2, L3 by algorithm.It lifts
For example, in number of colours distribution map shown in Fig. 3, multiple color C0, C1, C2, C3, C4, C5 of left area are to be divided
It is assigned to figure layer L1, and multiple color C111, C112, C113, C114 of intermediate region are allocated to figure layer L2 and right side
Multiple color C210, C211, C212, C213 are allocated to figure layer L3, and but not limited to this.In other words, arithmetic unit is in step
In rapid S13, arithmetic unit is associated with institute's colored of raw video with multiple figure layer L1, L2, L3 foundation, wherein each color is only
It is assigned to a figure layer and can not be assigned simultaneously to multiple figure layers.However, arithmetic unit also can according to the instruction of user,
The relations of distribution between above-mentioned multiple colors and multiple figure layers are adjusted, for example, user specifies specific color C0, C1 to be divided
It is assigned to figure layer L3, rather than is automatically assigned to figure layer L1, but not limited to this, wherein each color is still allocated only to a figure
Layer.
In other embodiments, arithmetic unit also can according to tone partition method, such as: with Photoshop tone partition method,
Each color of raw video is distributed one of to multiple figure layers, the relations of distribution between color and figure layer are established, wherein often
One color is allocated only to a figure layer and can not be assigned simultaneously to multiple figure layers.It is understood that tone partition method
Number of clusters must be 3 powers of n, and n belongs to natural number；For example, if n is equal to 2, in the son of each hue component (R, G, B)
Hold only be 0 and 255, can obtain 8 cluster centers points (0,0,0), (0,0,255), (0,255,0), (255,0,0), (0,
255,255), (255,255,255), (255,0,255) and (255,255,0)；If n is equal to 3, each hue component (R,
G, B) sub- content there was only 0,85,255,27 cluster centers points (0,0,0), (0,0,85), (0,0,255) ... class according to this can be obtained
It pushes away, this is not repeated here.
In another embodiment, arithmetic unit can also be distributed according to histogram pixel (Histogram pixel) partition method
Each color of raw video establishes the relations of distribution between color and figure layer one of to multiple figure layers, wherein per of the same colour
Coloured silk is allocated only to a figure layer and can not be assigned simultaneously to multiple figure layers.For example, whole figure has 900 pixels
(pixel), it is intended to be divided into 3 clusters, it can be by 900/3=300pixel, with the beginning of color range Distribution Value (histogram level) 0
Pixel quantity is counted, when counting down to 300, these pixels are all distributed to a cluster, and found out in this cluster with most pictures
The color range Distribution Value of prime number amount is as cluster centers point.Have usually intellectual, when can voluntarily modify transformation, but not as
Limit.
Judge whether manually adjust/set point between multiple figure layers and multiple colors for the convenience of the users
With relationship, group's concept can be divided to be converted into specifically color image less abstract figure layer and color, for user's viewing, in detail
Carefully it is described as follows.
In an embodiment, each color that arithmetic unit is included according to each figure layer maps a generation for each figure layer
Table color is to raw video, to generate one few color image (S14), wherein representing color is to be selected from figure by arithmetic unit or user
Other colors other than the color that one of color or figure layer that layer is included are included are using the representative color as this figure layer
Coloured silk, but not limited to this.For example, please with reference to Fig. 2, Fig. 4 and Fig. 5, since raw video A is with 6 colors
Bidimensional image, therefore the information that is had of each of raw video pixel includes coordinate values and color, such as: the first picture
The coordinate values and color representation of element are (X1, Y1, C1), the coordinate values of the second pixel and color representation are (X2, Y2, C2)；And according to
According to the corresponding relationship between the institute's colored and multiple figure layer L1, L2, L3 of raw video, figure belonging to each color can be learnt
Layer, such as: C1 is to belong to figure layer L1；Also, each figure layer, which only has one, represents color, and such as: figure layer L1's represents color as C5；
In summary information, arithmetic unit can calculate the coordinate values of the first pixel of few color image AL and represent color as (X1,
Y1, C5), the coordinate values of the second pixel of few color image AL and represent color as (X2, Y2, C5).Similarly, arithmetic unit is according to every
The relations of distribution of one figure layer and the color for being included, map the representative color of each figure layer to raw video, that is, can produce has
Coordinate values and the few color image AL of color composition one is represented, as shown in Figure 5.
Supplementary explanation, raw video A are made of 6 colors A11, A12, A21, A22, A31, A32 originally, such as
Shown in Fig. 2；Few color image AL is made of the representative color of figure layer L1, L2, L3, as shown in Figure 5.Therefore, compare Fig. 2 and figure
5 learn, partial color A11, A12 is allocated to same figure layer L1 in few color image AL in raw video A, and having the same
Represent color C5.Similarly, partial color A21, A22 of raw video A is allocated to same figure layer L2 in few color image AL, and
It is having the same to represent color C112, but partial color A31, A32 is allocated to same figure layer L3 in few color image AL, and have
Have and identical represents color C213.Also that is, raw video A includes originally that multiple colors can produce through the processing of step S14
A few color image AL composed by color C5, C112, C213 is represented as 3.
In an embodiment, a height value (S15) for each figure layer is determined, wherein height value can be by arithmetic unit from movable property
Life is set by user.In general, the visual perception of people will be considered that it is warm be color (such as: red, orange) color compared with
To be close, and the color distance of cold system's color (such as: blue, purple) is farther out.Alternatively, the visual perception of people will be considered that high brightness
The object of (high chroma) is closer to, and the object of low-light level (low coloration) is more remote.Therefore, chroma or brightness can be used as
The reference index of computed altitude.In an embodiment, the height value of each figure layer is the representative by arithmetic unit according to figure layer
The chroma value or brightness value of color determine, wherein representing color is the color for being included selected from figure layer or is set by user.It lifts
For example, please with reference to Fig. 3 and Fig. 4, image processing step S13, figure layer L1 through above-mentioned distribution color include multiple colors
Color C0, C1, C2, C3, C4, C5, figure layer L2 includes multiple color C111, C112, C113, C114 and figure layer L3 includes multiple
Color C210, C211, C212, C213.Then, arithmetic unit is selected or user specifies the one of each figure layer to represent color,
Such as: figure layer L1's represent color as color C5, and the color that represents of figure layer L2 represents color as color C112, figure layer L3 as color
Color C213.Then, (such as, but not limited to: linear relationship, secondary song according to the corresponding relationship represented between color and eye level
Line relationship), calculate and represent the corresponding height value of color, with generate multiple figure layer L1, L2, L3 multiple height value H1, H2,
H3, as shown in Figure 4.
However, arithmetic unit also can manually set the height value of each figure layer according to the instruction of user, with customized institute
The high image needed, and it is not only restricted to above-mentioned processing mode.Therefore, in part embodiment, the step of color image is lacked in above-mentioned generation
Suddenly (S14) property of can choose omission, arithmetic unit or user still can determine a height value of each figure layer
(S15).Has usually intellectual, when can voluntarily modify transformation, but not limited to this.
Fig. 6 is please referred to, in an embodiment, each color that arithmetic unit is included according to each figure layer maps each
The height value of figure layer is to raw video, to generate a high image (S16).Since raw video is the two dimension with multiple colors
Image, therefore the image information of each pixel has coordinate values and color in raw video, such as: the coordinate of the first pixel
Value and color representation are (X1, Y1, C1)；Again according to raw video institute's colored with it is corresponding between multiple figure layer L1, L2, L3
Relationship can learn figure layer belonging to each color, such as: C1 is to belong to figure layer L1；In addition, each figure layer only have it is one high
Angle value, such as: the height value of figure layer L1 is H1；In summary information, arithmetic unit can calculate the coordinate values of the first pixel
And height value is (X1, Y1, H1).Similarly, corresponding relationship of the arithmetic unit according to each figure layer and the color for being included, mapping are every
The height value of one figure layer can produce the high image with height value, as shown in Figure 5 to raw video.In an embodiment,
Multiple colors of raw video can not appear in high image, that is, high image is only the coordinate values and height by multiple pixels
Angle value is formed, and not yet brings color information at this time.It is understood that high image also may include multiple colors of raw video
Coloured silk, that is, each pixel of high image includes a color-values and a height value.
However, high image side view as shown in Figure 5 it is found that the difference in height between multiple figure layers can generate it is jagged
Gabarit may be to need to be adjusted in certain application fields.For example, when above-mentioned high image is input to by user
Three-dimensional is printd equipment, to export a wallpaper pattern with difference in height, may be generated in the height direction with jagged
Wallpaper surface causes its sense of touch bad.In an embodiment, the adjacent multiple figure layers of arithmetic unit smoothing techniques height
(S17), adjacent multiple figure layers are carried out to the smoothing processing of highly gradient in the height direction, to generate smooth height shadow
Picture.It prints application for subsequent three-dimensional, helps to optimize its output quality.It is understood that above-mentioned steps S17 is can be with
According to user's demand, selectivity is implemented or is omitted, but is not limited with above-described embodiment.
A three-dimensional colour image is watched in order to provide user, please with reference to Fig. 7 and Fig. 8, in an embodiment, operation
Device generates a 3-dimensional image AS according to high image.For example, arithmetic unit is according to multiple pixels in high image
Coordinate values and height value, the coordinate values for mapping multiple pixels of raw video and color are to high image, to generate 3-dimensional image
AS is made of the coordinate values of multiple pixels, height value and color.At this point, Fig. 7 and 3-dimensional image AS shown in Fig. 8 are
Show multiple color A11, A12, A21, A22, A31, A32.
It remarks additionally, in above-mentioned related embodiment, the sequence of each step can be exchanged mutually and is not only restricted to herein
Stated order or schema mark sequence, such as: the step S12 of Fig. 1 can be carried out before S11 or step S14 can be
It is carried out after step S16.Have usually intellectual, when can voluntarily changes in modification, but not limited to this.
Please with reference to Fig. 2 and Fig. 9, illustrate that the scanning system of another embodiment of the present invention includes a scanning means 10 below
An and arithmetic unit 20.Scanning means 10 scans an object B to generate a raw video A, and wherein raw video A includes multiple
Color.In an embodiment, object B is with flat surface or with the three-dimensional surface of difference in height, and but not limited to this.It is original
The technology contents and related embodiment of image are it has been observed that this is not repeated here.
Scanning means 10 includes a luminescence unit 11, an image acquisition unit 12, a driving unit 13, a control unit 14
An and platform 15.Luminescence unit 11 generates an illumination light L, to irradiate a surface of an object B.For example, image capture
Unit 12 is set to the same side of platform 15 relative to object B, to realize a reflection type scanner；Or image acquisition unit 12
It is set to the opposite side of platform 15, relative to object B to realize a penetration type scanner.In an embodiment, image capture
Unit 12 includes a linear photosensitive element or one side shape photosensitive element.In an embodiment, image acquisition unit 12 includes an electricity
Lotus coupling element (CCD) or a contact-type image sensor (CIS), but not limited to this.Driving unit 13 drives image capture
Unit 12 and object B move relative to each other, with scanned object B.In an embodiment, driving unit 13 and image acquisition unit
12 connections, and driving unit 13 drives image acquisition unit 12 with scanned object B, for example, driving unit 13 further includes one
Link assembly (not being painted) is connect with image acquisition unit 12.In another embodiment, luminescence unit 11 through link assembly with
Driving unit 13 is connected, can be with 12 synchronous scanning object B of image acquisition unit.12 electricity of control unit 14 and image acquisition unit
Property connection, and control unit 14 generate raw video A.Tool usually intellectual, which works as, can voluntarily modify transformation, but not with above-mentioned reality
Example is applied in limit.
Arithmetic unit 20 and scanning means 10 are electrically connected, and one image treatment method of execution of arithmetic unit 20, at image
Reason method includes: receiving raw video A caused by scanning means 10；Specify a quantity of multiple figure layers；Distribute raw video A
Each color one of to multiple figure layers；Determine a height value of each figure layer；And included according to each figure layer
Each color maps the height value of each figure layer to raw video, to generate a high image.The detailed step of image treatment method
Rapid and related embodiment is it has been observed that this is not repeated here.
In an embodiment, arithmetic unit 20 includes a processing unit 21 and a display element 22.Processing unit 21 with
The control unit 14 of scanning means 10 is electrically connected, and processing unit 21 receives raw video A caused by scanning means 10.In
In one embodiment, processing unit 21 includes central processing unit (CPU), special applications processor (ASP), special applications chip
(ASIC) or microcontroller (MCU), but not limited to this.Aforementioned image treatment method can be performed in processing unit 21, such as: Fig. 1
Or image treatment method shown in fig. 6.
Display element 22 and processing unit 21 are electrically connected, and display element 22 can show raw video A, Fig. 3's of Fig. 2
Number of colours distribution map, the high image of Fig. 5, Fig. 7 few color image AL, Fig. 8 3-dimensional image AS, wherein various images or point
The relevant technologies content of Butut is it has been observed that this is not repeated here.In an embodiment, display element includes: cathode-ray tube,
Light emitting diode indicator, liquid crystal display or touch panel, but not limited to this.Supplementary explanation, scanning means 10 with
And arithmetic unit can be integrated in one, for example, scanning means itself has processing unit 21 and a display element 22,
But not limited to this.
It is understood that fine high image caused by traditional image treatment method possibly can not be useful in certain answer
With in field, such as: there is the wallpaper pattern of difference in height through three-dimensional output of prining, that is, three-dimensional output of prining has difference in height
Entity article.At this point, user what is desired is that, the image processing of whole height value simplify/can be set according to user's demand
Method and scanning system, and can not be directly using fine high image caused by traditional image treatment method.
The scanning system of further embodiment of this invention includes that a scanning means 10, an arithmetic unit 20 and a three-dimensional are printd
Device (is not painted).Three-dimensional printing device and arithmetic unit 20 are electrically connected, and three-dimensional printing device is according to high image or three
Image is tieed up, an entity article with difference in height is exported.In an embodiment, three-dimensional printing device is extrusion pressing type printing machine, powder
Last ink-jet needle type printing machine, lamination type printing machine or photo-polymerization type printing machine.For example, three-dimensional printing device is ultraviolet light
Curing type (UV cure) printing machine, but not limited to this.
In summary, image treatment method of the invention and its scanning system are using an arithmetic unit, according to an original
Multiple colors of beginning image generate multiple figure layers with different multiple height values, to generate a high image.Therefore, originally
Invention only need to can produce high image according to the color of raw video, without handling other many and diverse image informations, more may be used
The high image of/adjustment height value specified according to user's demand, provides more flexible and practical image processing scheme.
Embodiment described above is only technical idea and feature to illustrate the invention, and purpose makes art technology
Personnel can understand the content of the present invention and implement it accordingly, when that cannot limit scope of patent protection of the invention with this, i.e., generally
According to equivalent change made by disclosed spirit or modification, should cover in scope of patent protection of the invention.
Claims (19)
1. a kind of image treatment method, includes:
A raw video a to arithmetic unit is inputted, wherein the raw video includes multiple colors；
Specify a quantity of multiple figure layers；
The arithmetic unit distributes each color of the raw video one of to multiple figure layer；
Determine a height value of each figure layer；And
Each color that the arithmetic unit is included according to each figure layer maps the height of (mapping) each figure layer
Angle value is to the raw video, to generate a high image.
2. image treatment method as described in claim 1, which is characterized in that the quantity of multiple figure layer is filled by the operation
It sets and automatically generates.
3. image treatment method as described in claim 1, which is characterized in that the quantity of multiple figure layer is set by user
It is fixed.
4. image treatment method as described in claim 1, which is characterized in that each color of distribution includes: being averaged according to K
Algorithm, tone partition method or histogram pixel partition method are allocated.
5. image treatment method as described in claim 1, which is characterized in that also include:
The adjacent multiple figure layer of the arithmetic unit smoothing techniques height.
6. image treatment method as described in claim 1, which is characterized in that also include:
Each color that the arithmetic unit is included according to each figure layer, the one of each figure layer of mapping represent color and extremely should
Raw video, to generate a few color image, it is color for being included or by user selected from the figure layer that wherein this, which represents color,
Setting.
7. image treatment method as described in claim 1, which is characterized in that the height value of each figure layer is by the operation
The chroma value or brightness value that device represents color according to the one of the figure layer determine that wherein this, which represents color, is wrapped selected from the figure layer
The color that contains is set by user.
8. image treatment method as described in claim 1, which is characterized in that the height value of each figure layer is by user
Setting.
9. image treatment method as described in claim 1, which is characterized in that also include:
The arithmetic unit generates a 3-dimensional image according to the high image.
10. a kind of scanning system, includes:
One scanning means, to scan an object to generate a raw video, wherein the raw video includes multiple colors；And
One arithmetic unit is electrically connected with the scanning means, to execute an image treatment method, the image treatment method packet
Contain:
Receive the raw video caused by the scanning means；
Specify a quantity of multiple figure layers；
Each color of the raw video is distributed one of to multiple figure layer；
Determine a height value of each figure layer；And
According to each color that each figure layer is included, the height value of each figure layer is mapped to the raw video, with
Generate a high image.
11. scanning system as claimed in claim 10, which is characterized in that the quantity of multiple figure layer is by the arithmetic unit
It automatically generates.
12. scanning system as claimed in claim 10, which is characterized in that the quantity of multiple figure layer is set by user
It is fixed.
13. scanning system as claimed in claim 10, which is characterized in that the arithmetic unit include a processing unit, to according to
Each color is distributed according to K calculating operation average method, tone partition method or histogram pixel partition method.
14. scanning system as claimed in claim 10, which is characterized in that the arithmetic unit includes a processing unit, to flat
The adjacent multiple figure layer of cunningization processing height.
15. scanning system as claimed in claim 10, which is characterized in that the arithmetic unit include a processing unit, to according to
The each color for being included according to each figure layer maps the one of each figure layer and represents color to the raw video, to generate
One few color image, wherein this represents color and is the color for being included selected from the figure layer or is set by user.
16. scanning system as claimed in claim 10, which is characterized in that the arithmetic unit include a processing unit, to according to
The chroma value or brightness value for representing color according to the one of each figure layer determine the height value of each figure layer, and wherein this represents color
Coloured silk is the color for being included selected from the figure layer or is set by user.
17. scanning system as claimed in claim 10, which is characterized in that the height value of each figure layer is set by user
It is fixed.
18. scanning system as claimed in claim 10, which is characterized in that the arithmetic unit include a processing unit, to according to
According to the high image, a 3-dimensional image is generated.
19. scanning system as claimed in claim 10, which is characterized in that also include:
One three-dimensional printing device, is electrically connected with the arithmetic unit, to according to the high image, exporting has the one of difference in height
Entity article.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810332111.0A CN110390629A (en) | 2018-04-13 | 2018-04-13 | Image treatment method and its scanning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810332111.0A CN110390629A (en) | 2018-04-13 | 2018-04-13 | Image treatment method and its scanning system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110390629A true CN110390629A (en) | 2019-10-29 |
Family
ID=68282567
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810332111.0A Withdrawn CN110390629A (en) | 2018-04-13 | 2018-04-13 | Image treatment method and its scanning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110390629A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102696054A (en) * | 2010-11-10 | 2012-09-26 | 松下电器产业株式会社 | Depth information generating device, depth information generating method, and stereo image converter |
| US20130127989A1 (en) * | 2011-11-22 | 2013-05-23 | Sonic Solutions, Llc | Conversion of 2-Dimensional Image Data into 3-Dimensional Image Data |
| TWM528559U (en) * | 2016-05-13 | 2016-09-11 | Shanghai Microtek Technology Co Ltd | Image scanning system |
| US20170252968A1 (en) * | 2016-03-07 | 2017-09-07 | Inventec Appliances (Pudong) Corporation | Apparatus and method for printing multi-color three dimensional object |
| CN107578367A (en) * | 2017-04-25 | 2018-01-12 | 北京陌上花科技有限公司 | A kind of generation method and device of stylized image |
-
2018
- 2018-04-13 CN CN201810332111.0A patent/CN110390629A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102696054A (en) * | 2010-11-10 | 2012-09-26 | 松下电器产业株式会社 | Depth information generating device, depth information generating method, and stereo image converter |
| US20130127989A1 (en) * | 2011-11-22 | 2013-05-23 | Sonic Solutions, Llc | Conversion of 2-Dimensional Image Data into 3-Dimensional Image Data |
| US20170252968A1 (en) * | 2016-03-07 | 2017-09-07 | Inventec Appliances (Pudong) Corporation | Apparatus and method for printing multi-color three dimensional object |
| TWM528559U (en) * | 2016-05-13 | 2016-09-11 | Shanghai Microtek Technology Co Ltd | Image scanning system |
| CN107578367A (en) * | 2017-04-25 | 2018-01-12 | 北京陌上花科技有限公司 | A kind of generation method and device of stylized image |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP0980568B1 (en) | Method for image processing | |
| CN104464623B (en) | A kind of method and device for adjusting the low GTG of light emitting diode | |
| US20070159476A1 (en) | Method for creating a stereoscopic image master for imaging methods with three-dimensional depth rendition and device for displaying a steroscopic image master | |
| CN105260152B (en) | Image processing method and device for LED display | |
| CN107680142B (en) | Method for improving out-of-gamut color overlay mapping | |
| CN108195312A (en) | Color body three-dimensional rebuilding method and system based on changeable weight | |
| KR20200054299A (en) | Color gamut mapping method and color gamut mapping device | |
| CN109934793A (en) | A kind of Real-time image fusion method based on Integer DCT Transform | |
| CN110428439A (en) | A kind of shadow detection method based on shadow region color saturation property | |
| ITTO20011080A1 (en) | ,, METHOD AND DEVICE FOR DETERMINING A CHROMATIC DOMINANT IN AN IMAGE ,, | |
| CN113611243B (en) | Display difference correction method and device of immersive LED display screen | |
| CN110390629A (en) | Image treatment method and its scanning system | |
| CN203104900U (en) | Lighting control equipment and illumination system | |
| CN104639924A (en) | Method for reducing degree of dependence on device pixel to improve color value precision | |
| CN110324476A (en) | A kind of characterizing method of Mobile phone screen color generation property | |
| CN107833256B (en) | The method and device of pseudo- coloring for digital picture | |
| US10242461B1 (en) | Method to improve overlay mapping of out-of-gamut | |
| CN106791741B (en) | Multi-screen marching method and device | |
| CN115900951A (en) | Method for calculating color gamut coverage rate of multi-primary color display system | |
| TWI645705B (en) | Image processing method and scanning system using the same | |
| CN1220960C (en) | Colour signal processing device and method for efficient storage colour gamut | |
| CN1217168C (en) | Apparatus and method for counting colour temperature | |
| CN102800061A (en) | High-illuminance digital image fast adaptive optimization method | |
| JP2019144633A (en) | Image processing method, and scanning system using the same | |
| CN112200852A (en) | Space-time hybrid modulation stereo matching method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20191029 |