CN113610293A - Method and device for evaluating color harmony of buildings in urban block - Google Patents

Method and device for evaluating color harmony of buildings in urban block Download PDF

Info

Publication number
CN113610293A
CN113610293A CN202110893036.7A CN202110893036A CN113610293A CN 113610293 A CN113610293 A CN 113610293A CN 202110893036 A CN202110893036 A CN 202110893036A CN 113610293 A CN113610293 A CN 113610293A
Authority
CN
China
Prior art keywords
color
building
street
buildings
harmony
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.)
Pending
Application number
CN202110893036.7A
Other languages
Chinese (zh)
Inventor
徐小东
任宇
王伟
徐宁
范静哲
董竞瑶
刘可
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Southeast University
Original Assignee
Southeast University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Southeast University filed Critical Southeast University
Priority to CN202110893036.7A priority Critical patent/CN113610293A/en
Publication of CN113610293A publication Critical patent/CN113610293A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/043—Optimisation of two dimensional placement, e.g. cutting of clothes or wood
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image

Abstract

The invention discloses a method and a device for evaluating the harmony of colors of buildings in an urban block, belonging to the field of urban color planning. A city block building color harmony assessment method comprises the following steps: numbering buildings along a street of a city block; obtaining street view pictures of the buildings along the street and building wall reference colors; constructing a building facade live-action picture from the street view picture; extracting color information of the building facade live-action picture, and drawing a color harmony analysis table according to the color information; and calculating the building color harmony value according to the color harmony analysis table and the beauty analysis formula.

Description

Method and device for evaluating color harmony of buildings in urban block
Technical Field
The invention relates to the field of urban color planning, in particular to a method and a device for evaluating the color harmony of buildings in an urban block.
Background
Under the background that the urbanization rate of China is continuously increased, the urban color problem is obvious and the digital tools are gradually improved, the theory, method improvement and practice of urban color planning become increasingly important. Although the city color planning at the segment level has been successfully practiced, quantitative research based on the color theory is lacked, and particularly, the problems of inconsistent standards, over-subjective and difficult comparison exist in the aspect of color status assessment.
Therefore, there is a need for an objective, accurate and uniform method for assessing street architectural colors. The scheme is based on Muen and Schanser color harmony theories, combines an intelligent analysis tool, and evaluates the color coordination degree of the building dominant hue in the research range through a quantitative analysis means. This patent can provide quantitative basis for old city renovation transformation practice, improves the precision that city block building color was reformed transform.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method and a device for evaluating the color harmony of buildings in a city block.
The purpose of the invention can be realized by the following technical scheme:
a city block building color harmony assessment method comprises the following steps:
numbering buildings along a street of a city block; obtaining street view pictures of the buildings along the street and building wall reference colors; constructing a real scene graph of the building along the street facade from the street scene pictures;
extracting color information of the real scene graph of the building along the street facade, and drawing a color harmony analysis table according to the color information; calculating the building color harmony beauty value according to the color harmony analysis table and a beauty analysis formula, wherein the beauty analysis formula is as follows:
M＝O/C；
in the formula: m represents a beauty value; o represents a rank factor; c represents a complexity factor;
when M is 0.5 or M is more than 0.5, judging the color harmony between the adjacent building wall base color adjustments; when M is less than 0.5, judging that the colors between the adjacent building wall base color matching are not harmonious;
and rectifying the buildings with dissonant colors in the city blocks according to the judgment result.
Further, the number form of the buildings along the street is A _ B _ C, and A is a pinyin acronym of the city block; b is the direction of the buildings on the road; and C is the arrangement sequence of the buildings along the street in the city block.
Further, the obtaining of the reference color of the building wall body comprises the following steps:
and determining the reference color of the building wall according to the Chinese building color card, and expressing the reference color of the building wall in an HSV (hue, saturation and value) mode.
Further, the building facade scene graph construction comprises the following steps:
drawing an image of a building entity part according to the street view picture;
performing color matching processing on the extracted image to enable the color matching of the building wall body base in the extracted image to correspond to the HSV attribute value in the investigation result;
and constructing the real scene graph of the building along the street facade according to the building number by using the building entity part and the color-mixed street scene image.
Further, the color information includes a standard color of the buildings along the street, a total HSV color distribution scatter diagram and a color distribution histogram of the buildings along the street.
Further, the color harmony analysis table comprises color HSV attribute values between adjacent building wall body base colors of the block and differences between standard colors of the buildings along the street and the color HSV attribute between each building; the hue harmony analyzer is classified according to hue intervals of Muen and Schmitt theory.
Further, in the beauty analysis formula, the order factor O is determined according to the color of the base color of the adjacent building walls of the block, and the method comprises the following steps:
when the base color of the adjacent building wall bodies is colorless: o ═ Σ OgIn the formula OgThe order factor in the case of only achromatic participation is shown;
when the color of the base colors of the adjacent building walls comprises colors: o ═ Σ Oh+∑Oc+∑OcIn the formula OhIs a rank factor that varies based on hue difference; o isvA rank factor that varies based on lightness difference; o iscIs a rank factor that varies based on chroma differences.
Further, the complexity factor C is determined according to the number of the base color matching of the building wall participating in color matching, and the calculation formula of the complexity factor C is as follows: c ═ Cm+Ch+Cv+Co；
In the formula: cmThe number of colors participating in color matching; pairwise pairing of colors participating in color matching, ChIn the presence of logarithm of chromatic aberration, CvLogarithm of lightness differences, CoThe logarithm of the difference in chroma is present.
A computer readable storage medium storing a program for performing any one of the above-described city block building color and harmony assessment methods.
A city block color grading device comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize any one of the above city block building color harmony assessment methods.
The invention has the beneficial effects that:
the method provides a scientific and rational method for the research and practice of urban color planning, depends on the auxiliary judgment of a computer algorithm, has more objective results, and provides an innovative urban block building color and harmony assessment method; the method further perfects a multi-factor collaborative analysis methodology through subject crossing and a picture color recognition technology realized based on Matlab, forms a set of more effective building color harmony assessment method system for coping with multi-factor action conditions, and perfects an urban color planning system.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic flow diagram of the present application;
FIG. 2 is a flowchart illustrating specific steps of the process of the present application;
FIG. 3 is a chart of the classification of Muen and Schanser hue interval according to the present application;
FIG. 4 is a chart of Munn and Schanser lightness and chroma interval classifications for the present application;
FIG. 5 is a block diagram of the location and numbering of the ancient city block of the avenue of the present application;
FIG. 6 is HSV attribute values for wall base toning of a wall of a great wall of an ancient city section building of the subject application;
FIG. 7 is a HSV color distribution space scattergram for a great ancient city district building according to the present application;
FIG. 8 is a histogram of HSV color distribution for a great ancient city district building according to the present application;
FIG. 9 is a table of color harmony analysis of neighboring buildings in a neighborhood of the present application;
FIG. 10 is a table of the color harmony analysis of the standard colors of buildings and neighborhood buildings according to the present application;
FIG. 11 is a table of color and beauty analysis of adjacent buildings in a neighborhood of the subject application;
FIG. 12 is a table of the color harmony and beauty analysis of the standard colors of each building and each block building of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "opening," "upper," "lower," "thickness," "top," "middle," "length," "inner," "peripheral," and the like are used in an orientation or positional relationship that is merely for convenience in describing and simplifying the description, and do not indicate or imply that the referenced component or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be considered as limiting the present invention.
The first embodiment is as follows:
referring to fig. 1, fig. 1 shows a schematic flow chart of the present invention, and the following describes the steps in the framework in detail, and the specific steps are shown in fig. 2.
Firstly, numbering buildings along a street in a city block to be reconstructed in a form of 'A _ B _ C'. Wherein "A" is the Pinyin acronym for the city partition to which the building corresponds; "B" means the orientation of the road, "E, S, W, N" means the building is located on the "east, south, west, north" side of the road, respectively; "C" is the order of the buildings from west to east or north to south within the street, e.g., "GCQ _ N _ 1".
And secondly, shooting a building street view picture along the street in the city block to be reconstructed by field investigation, corresponding the building street view picture to the building number in the first step one by one, checking building wall body base color matching in the picture by adopting a Chinese building color card, finding out a color corresponding to the building base color matching in the color card, and converting a color-taking result into an HSV attribute value. And (4) counting HSV attribute values of all buildings along the street and recording the HSV attribute values into an EXCEL table.
And thirdly, adjusting the building street view photos by using Photoshop software. Firstly, extracting building elements in a building street view picture by using Photoshop software, and excavating redundant elements; and making a building channel map. Secondly, color matching is carried out on the street view picture with the extracted building elements, so that the HSV value of the color matching of the corresponding building wall body base is the same as the color matching result in the second step. And finally, splicing the adjusted building photos into a building elevation live-action picture according to the numbering sequence by using Photoshop software.
And fourthly, performing color extraction analysis on the adjusted street view picture. And based on a Mat l ab platform, taking the street view picture after color matching as a material, and extracting color information of the building area in the picture. And identifying the color with the highest proportion in the spliced building facade live-action map, extracting the H, S, V value of the color, and taking the color as the standard color of the building along the street. Based on color extraction analysis of a Mat l ab platform, obtaining an HSV color distribution scatter diagram and a color distribution histogram of the whole street building to know the color trend of the whole street, wherein the hue of the color of the whole street building in an ancient city section of the street is mainly concentrated in the ranges of N, R, YR, B and PB, the chroma distribution interval is mainly (0, 50), the peak value is 5, the lightness distribution interval is mainly [10, 90] and the peak value interval is [20, 30 ].
And fifthly, drawing a color harmony analysis table based on a Munsell color system, and further preliminarily analyzing the building color harmony condition of the section. Firstly, calculating the difference value of the color HSV attribute between the base colors of adjacent building walls in a block, classifying the color intervals corresponding to Muen and Schanser theories, and performing region division according to the chart shown in figures 2 and 3, and recording the region division in a color harmony analysis table of adjacent buildings. And secondly, calculating the difference value of the HSV attribute between the standard colors of the buildings along the street and each building, classifying the hue intervals corresponding to Muen and the Schanser theory, carrying out region division as shown in figures 2 and 3, and recording the region division in a hue harmony analysis table of the standard colors of each building and the buildings in the street. And preliminarily judging the building color harmony condition of the section through the two color harmony analysis tables.
And sixthly, respectively calculating the color harmony and beauty value between adjacent buildings in the block and the color harmony and beauty value of the standard color of each building and the buildings along the street by using a beauty analysis formula, and further calculating and evaluating the color harmony between the wall and base colors of the adjacent buildings in the city block. The beauty value calculation adopts the following formula:
M＝O/C
in the formula: m represents a beauty value; o represents a rank factor; c denotes a complexity factor.
The order factor O is formed by the following formula:
when the color of the wall base of the adjacent building in the city block is only formed by achromatic colors: o ═ Σ Og
When the adjacent building wall body base in the city block is colored and formed by colors: o ═ Σ Oh+∑Oc+∑Oc
In the formula: o isgThe order factor in the case of only achromatic participation is shown; when there is color in the color matching, Oh、OvAnd OcThe sequence factor is changed based on the hue, lightness and chroma differences, and the specific value is determined by the difference.
The complexity factor C is formed by the formula:
C＝Cm+Ch+Cv+Co
in the formula: cmThe number of colors participating in color matching; in all the color pairs that can be formed, ChIn the presence of logarithm of chromatic aberration, CvLogarithm of lightness differences, CoThe logarithm of the difference in chroma is present.
When the color of the building wall body is single, M is 0.5, when M is more than 0.5, the color between the color matching of the adjacent building wall body bases is harmonious, when M is less than 0.5, the value of beauty is lower, and the color between the color matching of the adjacent building wall body bases is not harmonious. And determining buildings with dissonant colors in the sections from the combination with lower beauty values, and determining buildings with colors needing to be mainly modified.
Example two: in this embodiment, the present invention is further explained by taking an ancient city section of a large road in a prefecture of a certain city as a research object.
Firstly, numbering buildings along the street in the city block to be reconstructed, wherein specific reference numbers and plane positions thereof are shown in figure 4. In the form of "a _ B _ C". Wherein "A" is the Pinyin acronym for the city partition to which the building corresponds; "B" means the orientation of the road, "E, S, W, N" means the building is located on the "east, south, west, north" side of the road, respectively; "C" is the sequence of the buildings from west to east or north to south in the street, for example, "GCQ _ N _ 1", which is the first street building from west to east in the north of the great ancient city section.
And secondly, shooting a building street view picture along the street in the city block to be reconstructed by field investigation, corresponding the building street view picture to the building number in the first step one by one, checking building wall body base color matching in the picture by adopting a Chinese building color card, finding out a color corresponding to the building base color matching in the color card, and converting a color-taking result into an HSV attribute value. And (4) counting all HSV attribute values of the base color modulation of the wall body of the buildings along the street, and recording the attribute values into an EXCEL table, wherein the figure is 5.
And thirdly, adjusting the building street view photos by using Photoshop software. Firstly, extracting building elements in a building street view picture by using Photoshop software, and removing redundant elements; and making a building channel map. Secondly, color matching is carried out on the street view picture with the extracted building elements, so that the HSV value of the color matching of the corresponding building wall body base is the same as the color matching result in the second step. And finally, splicing the adjusted building photos into a building elevation live-action picture according to the numbering sequence by using Photoshop software.
And fourthly, performing color extraction analysis on the adjusted street view picture, and receiving the whole color trend as shown in the figure 6 and the figure 7. And based on a Matlab platform, taking the street view picture after color matching as a material to extract the color information of the building area in the picture. The color with the highest proportion in the spliced building facade scene graph is identified, the H, S, V value of the color is extracted, H is 225, S (converted into a natural number) is 1, V (converted into a natural number) is 6, and the color is used as the building standard color MAIN along the street. And acquiring an HSV color distribution scatter diagram and a color distribution histogram of the whole buildings along the street based on color extraction analysis of a Matlab platform so as to know the color trend of the whole street.
And fifthly, drawing a color harmony analysis table based on a Munsell color system, and further preliminarily analyzing the building color harmony condition of the ancient city section of the avenue. Firstly, calculating the difference value of the color HSV attribute between the base colors of adjacent building walls in a block, classifying the color intervals corresponding to Muen and Schanser theories, and performing region division as shown in figures 2 and 3, and recording the region division in a color harmony analysis table of adjacent buildings as shown in figure 8. As can be seen from fig. 8, the three-dimensional attributes between each two adjacent building keytones in the block, either contrast blends, or similar blends, or homotones, are all in the blend zone, and none are in the ambiguous zone. Based on the idea that the Munn and the Schwanser theory think that pleasure and comfort are from interval and unobtrusive, the major tone and harmony of the buildings in the ancient city section of the avenues are better, and the buildings with harmonious colors are not obviously damaged. Secondly, calculating the difference value of the HSV attribute between the standard colors of the buildings along the street and each building, classifying the hue intervals corresponding to Muen and the Schanser theory, and performing region division as shown in figures 2 and 3, and recording the region division in a hue harmony analysis table of the standard colors of each building and the buildings in the street as shown in figure 9. As can be seen from fig. 9, the relationship between the reference colors of two buildings GCQ _ N _1 and GCQ _ S _2 in the block and the standard colors of the buildings along the street is ambiguous 2, the colors are similar and compared, and the color relationship is visually ambiguous and is an aesthetically displeasing color match. When other buildings are compared with the standard colors of buildings along the street, the three-dimensional attributes of the colors are in a harmonic region, such as contrast harmonic, similar harmonic or homochromatic harmonic, and the relationship between the building colors and the whole building along the street is harmonious. Through the two color harmony analysis tables, preliminarily judging that the colors of two adjacent buildings are harmonious in the ancient city section of the avenue; from the whole, the relation between the GCQ _ N _1 and GCQ _ S _2 buildings and the whole color tone of the block is ambiguous.
And sixthly, respectively calculating the color harmony and beauty value between adjacent buildings in the block and the color harmony and beauty value of the standard color of each building and the buildings along the street by using a beauty analysis formula, and further calculating and evaluating the color harmony between the wall and base colors of the adjacent buildings in the city block. The beauty value calculation adopts the following formula:
M＝O/C
in the formula: m represents a beauty value; o represents a rank factor; c denotes a complexity factor.
The order factor O is formed by the following formula:
when the color of the wall base of the adjacent building in the city block is only formed by achromatic colors: o ═ Σ Og
When the adjacent building wall body base in the city block is colored and formed by colors: o ═ Σ Oh+∑Oc+∑Oc
In the formula: o isgThe order factor in the case of only achromatic participation is shown; when there is color in the color matching, Oh、OvAnd OcThe sequence factor is changed based on the hue, lightness and chroma differences, and the specific value is determined by the difference.
The complexity factor C is formed by the formula:
C＝Cm+Ch+Cv+Co
in the formula: cmThe number of colors participating in color matching; in all the color pairs that can be formed, ChIn the presence of logarithm of chromatic aberration, CvLogarithm of lightness differences, CoThe logarithm of the difference in chroma is present.
The beauty values between the base colors of the adjacent building walls in each group of blocks are recorded in a table, as shown in figure 10, wherein the beauty values of seven groups of color combination are respectively ' 1.16, 1.16, 1, 0.77, 1.16, 0.625, 1 ', all higher than 0.5 ', and all can be considered as beautiful. In such a case, buildings in which the color matching effect is relatively discordant are selected based on the magnitude of the beauty value (the larger the beauty value is, the better the color matching effect is). As can be seen from fig. 10, the combination with the lowest beauty value is the combination of GCQ _ S _3& GCQ _ S _4 and GCQ _ S _1& GCQ _ S _2, and the beauty values are 0.625 and 0.77, respectively.
Recording the beauty value between each building and the standard color of the block building in a table, as shown in fig. 11, wherein the beauty value of seven groups of color matching combination is respectively ' 0.225, 1.16, 1, 1, 0.575, 0.325, 0.625, 0.6, 0.6 ', wherein the beauty value between the standard colors of two buildings GCQ _ N _1 and GCQ _ S _2 and the block building is lower than 0.5 ', namely the wall body reference colors of the two buildings are not harmonious with the whole block. Therefore, combining the analysis results in fig. 10 and fig. 11, it is concluded that in this avenue, the colors of the buildings GCQ _ N _1 and GCQ _ S _2 can be primarily targeted for modification.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed.

Claims (10)

1. A city block building color harmony assessment method is characterized by comprising the following steps:
numbering buildings along a street of a city block; obtaining street view pictures of the buildings along the street and building wall reference colors; constructing a real scene graph of the building along the street facade from the street scene pictures;
extracting color information of the real scene graph of the building along the street facade, and drawing a color harmony analysis table according to the color information; calculating the building color harmony beauty value according to the color harmony analysis table and a beauty analysis formula, wherein the beauty analysis formula is as follows:
M＝O/C；
in the formula: m represents a beauty value; o represents a rank factor; c represents a complexity factor;
when M is 0.5 or M is more than 0.5, judging the color harmony between the adjacent building wall base color adjustments; when M is less than 0.5, judging that the colors between the adjacent building wall base color matching are not harmonious;
and rectifying the buildings with dissonant colors in the city blocks according to the judgment result.
2. The method of claim 1, wherein the buildings along the street are numbered in the form of a _ B _ C, wherein a is the pinyin acronym for the city block; b is the direction of the buildings on the road; and C is the arrangement sequence of the buildings along the street in the city block.
3. The city block building color and harmony assessment method according to claim 2, wherein the obtaining of the building wall reference color comprises the following steps:
and determining the reference color of the building wall according to the Chinese building color card, and expressing the reference color of the building wall in an HSV (hue, saturation and value) mode.
4. The method for assessing color and harmony of city blocks in a city according to claim 3, wherein the building of the real scene graph of the building elevation comprises the following steps:
and carrying out color matching processing on the street view picture according to the wall reference color, and constructing the real view of the building along the street facade according to the building number.
5. The method of claim 1, wherein the color information comprises a standard color of the buildings along the street, a total HSV color distribution histogram of the buildings along the street, and a color distribution histogram.
6. The method of claim 1, wherein the color harmony analysis table comprises the attribute values of color HSV between the wall-based hues of the neighboring buildings of the block and the difference between the standard color of the buildings along the street and the attribute value of color HSV between each building; the hue harmony analyzer is classified according to hue intervals of Muen and Schmitt theory.
7. The method for assessing the color and harmony of the buildings in the city block according to claim 1, wherein the order factor O is determined according to the color of the base color of the adjacent building walls of the block, comprising the following steps:
when the base color of the adjacent building wall bodies is colorless: o ═ Σ OgIn the formula OgThe order factor in the case of only achromatic participation is shown;
when the color of the base colors of the adjacent building walls comprises colors: o ═ Σ Oh+∑Oc+∑OcIn the formula OhIs a rank factor that varies based on hue difference; o isvA rank factor that varies based on lightness difference; o iscIs a rank factor that varies based on chroma differences.
8. The method for assessing color harmony of city block buildings according to claim 1, wherein the complexity factor C is determined according to the number of the base colors of the building walls participating in color matching, and the calculation formula of the complexity factor C is as follows: c ═ Cm+Ch+Cv+Co；
In the formula: cmThe number of colors participating in color matching; pairwise pairing of colors participating in color matching, ChIn the presence of logarithm of chromatic aberration, CvLogarithm of lightness differences, CoThe logarithm of the difference in chroma is present.
9. A computer-readable storage medium storing a program for performing the method of assessing color and harmony of city block buildings according to any one of claims 1 to 8.
10. A city block building color grading device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the city block building color and harmony assessment method of any one of claims 1 to 8 when executing the computer program.
CN202110893036.7A 2021-08-04 2021-08-04 Method and device for evaluating color harmony of buildings in urban block Pending CN113610293A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110893036.7A CN113610293A (en) 2021-08-04 2021-08-04 Method and device for evaluating color harmony of buildings in urban block

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110893036.7A CN113610293A (en) 2021-08-04 2021-08-04 Method and device for evaluating color harmony of buildings in urban block

Publications (1)

Publication Number Publication Date
CN113610293A true CN113610293A (en) 2021-11-05

Family

ID=78339562

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110893036.7A Pending CN113610293A (en) 2021-08-04 2021-08-04 Method and device for evaluating color harmony of buildings in urban block

Country Status (1)

Country Link
CN (1) CN113610293A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115063653A (en) * 2022-07-27 2022-09-16 东南大学 Method and system for measuring dominant chromaticness of built environment based on image brain sensitive data

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109993803A (en) * 2019-02-25 2019-07-09 复旦大学 The intellectual analysis and evaluation method of city tone
CN113160340A (en) * 2021-04-23 2021-07-23 湖北工业大学 City color quantitative analysis and evaluation method, system and storage medium

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109993803A (en) * 2019-02-25 2019-07-09 复旦大学 The intellectual analysis and evaluation method of city tone
CN113160340A (en) * 2021-04-23 2021-07-23 湖北工业大学 City color quantitative analysis and evaluation method, system and storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
施吓霞等: "基于M-S理论的传统商业街道色彩和谐度评价研究——以福州市三坊七巷南后街为例", 山东农业大学学报(自然科学版), vol. 51, no. 1, pages 140 - 146 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115063653A (en) * 2022-07-27 2022-09-16 东南大学 Method and system for measuring dominant chromaticness of built environment based on image brain sensitive data

Similar Documents

Publication Publication Date Title
CN111666617B (en) Shear wall structure arrangement method and device based on countermeasure generation network
Recky et al. Windows detection using k-means in cie-lab color space
CN103186904B (en) Picture contour extraction method and device
CN103366178B (en) A kind of method and apparatus for being used to carry out target image color classification
CN104636759A (en) Method for obtaining picture recommending filter information and picture filter information recommending system
CN103295191A (en) Multi-scale vision self-adaptation image enhancing method and evaluating method
CN103440348A (en) Vector-quantization-based overall and local color image searching method
CN109191428A (en) Full-reference image quality evaluating method based on masking textural characteristics
CN108596211A (en) It is a kind of that pedestrian's recognition methods again is blocked based on focusing study and depth e-learning
CN108053412B (en) Method for determining optimal segmentation result of remote sensing image by fusing multiple quantitative evaluation indexes
CN109410171A (en) A kind of target conspicuousness detection method for rainy day image
CN101819638A (en) Establishment method of pornographic detection model and pornographic detection method
CN113223159B (en) Single remote sensing image three-dimensional modeling method based on target texture virtualization processing
CN105956544B (en) A method of it extracts the remote sensing image road intersection based on structure index feature
CN106530361A (en) Color correction method for color face image
CN107527054A (en) Prospect extraction method based on various visual angles fusion
CN113610293A (en) Method and device for evaluating color harmony of buildings in urban block
CN110163855B (en) Color image quality evaluation method based on multi-path deep convolutional neural network
CN103456029B (en) The Mean Shift tracking of a kind of anti-Similar color and illumination variation interference
Musicco et al. Automatic point cloud segmentation for the detection of alterations on historical buildings through an unsupervised and clustering-based Machine Learning approach
CN114092456A (en) Cell fluorescence image distinguishing method and system
CN107358635B (en) Color morphological image processing method based on fuzzy similarity
CN107038401A (en) Lip contour segmentation and feature extraction method
CN111311695B (en) Clear water concrete surface color difference analysis method based on convolutional neural network
CN116011084B (en) Method and device for integrally generating structural plane layout, electronic equipment and storage medium

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