CN105631874B - Utilize the method for image Segmentation Technology evaluation apple crisp slices browning degree - Google Patents
Utilize the method for image Segmentation Technology evaluation apple crisp slices browning degree Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
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Abstract
The invention discloses a kind of methods using image Segmentation Technology evaluation apple crisp slices browning degree, comprising: the brightness value of the outer surface of collecting sample apple crisp slices, red value of green and champac value；The brightness range of sample apple crisp slices is divided into 3~7 regions, each region is according to red value of green range, it is divided into 3~7 pigment blocks, each pigment block is according to champac value range, it is divided into 3~7 sub- pigment blocks, benchmark pigment block is filtered out, the color interval of error≤± 20% between definition and the rgb value of benchmark pigment block is depth brown section；The present invention judges with browning degree of the color electronic eyes to apple crisp slices, it not only can be to avoid the evaluation to get sth into one's head, it is quickly obtained color evaluation result, and the true brown stain data of product can be influenced to avoid oxidation occurs in pretreatment using sample when chemical method.
Description
Technical field
The present invention relates in technical field of food detection, in particular to a kind of utilization image Segmentation Technology evaluates apple crisp slices
The method of browning degree.
Background technique
Apple crisp slices can both be able to maintain original local flavor and nutritional ingredient, while but also with crispy in taste, green natural, be convenient for
The features such as storage, meets consumer to demands such as apple crisp slices nutritious instant, natural low fat, high dietary-fibers.Therefore, apple
Crisp chip is in great demand very much in developed countries such as current America and Europes, is mainly used as with meal food, snack food, production fruit treasure fruit powder and instant
Drink etc..However in apple crisp slices production process, browning restricts the further development of apple crisp slices secondary industry, brown stain
Reaction not only constrains the grade of apple crisp slices commodity, and for the organoleptic quality of apple crisp slices product, flavor and nutrition are produced
It seriously affects, so that the appreciation of apple crisp slices secondary industry is largely constrained, to the development band of apple crisp slices industry
Carry out certain obstruction.Due to the difference of the browning degree between different cultivars in apple process, selected in apple variety
It educates, in resource assessment and craft screening work, the brown stain difference between measurement control variety and during different technology conditions is just shown
It obtains critically important.
Mainly there are subjective staging, spectrophotometer method and spectral photometric colour measuring meter to the evaluation method of brown stain at present.Subjectivity point
Grade method mainly passes through human eye and carries out classification of assessment to the apparent color of product.This evaluation method by instrument, is not united at one
Marker and product are placed under the light source of one standard, sensory evaluation person is according to object of reference by product according to different browning degrees
It is classified.Such as apple crisp slices are divided into 1,2,3,4 grade according to browning degree, slighter is 1 grade, and 4 grades are tight for brown stain
Weight.Spectrophotometer rule is to measure its 420nm absorbance value (OD using ultraviolet specrophotometer after grinding apple crisp slices
Value), apple crisp slices brown stain degree is evaluated according to obtained OD value, OD value is bigger to illustrate that apple crisp slices browning degree is bigger.
Spectrophotometric colour difference meter, can be by contact or two kinds contactless compared to traditional subjective estimate method and spectrophotometer
Detection pattern obtains apple crisp slices L*a*b* value and is measured, and realizes Fast nondestructive evaluation product.
There are some defects in three of the above method.High to valuation officer's competency profiling in subjective estimate method, valuation officer needs
It can just participate in evaluating after giveing training, and since everyone experience and experience are different, so evaluation result can also vary with each individual,
It is difficult to obtain unifying as a result, therefore lacking objective and fair and repeatability.In the evaluation procedure of spectrophotometric colour difference meter, need
The apple crisp slices handled well are ground, sample can be made to contact with air grinding under condition of ice bath, do not can avoid
Oxidation, which occurs, leads to brown stain, causes experimental result inaccurate, experimental result repetitive rate is low, influences to apple crisp slices browning degree
Accurate evaluation.The apparent color of non-destructive testing apple crisp slices may be implemented in spectrophotometric colour difference meter, and is quickly obtained L*a*b* value
And absorption spectrum, but spectrophotometric colour difference meter is only capable of obtaining the average value of material sampling local area, material shapes also have one
Definite limitation is difficult the apparent color distribution of comprehensive response sample and different browning degree ratios.
Summary of the invention
It is an object of the invention to solve at least the above problems, and provide the advantages of at least will be described later.
It is a still further object of the present invention to provide a kind of sides using image Segmentation Technology evaluation apple crisp slices browning degree
Method, using precise electronic eye as tool, acquire apple crisp slices image after, analysis gained image with to apple crisp slices browning degree into
Row overall merit.
In order to realize these purposes and other advantages according to the present invention, a kind of utilization image Segmentation Technology evaluation is provided
The method of apple crisp slices browning degree, comprising:
Step 1: preparation multi-disc sample apple crisp slices, the brightness value of the outer surface of collecting sample apple crisp slices, red value of green and
Champac value；
Step 2: maximum value and minimum value are filtered out in the brightness value of all sample apple crisp slices, according to sample apple
The maximum brightness value and minimum luminance value of crisp chip form a brightness range, brightness range are divided into 3~7 regions, each
In region, according to the range of value of green red in the region, which is divided into 3~7 pigment blocks, according in each pigment block
The pigment block is divided into 3~7 sub- pigment blocks, filters out the sub- pigment block of contribution rate of accumulative total >=85% by the range of champac value,
Composition standard pigment block filters out rgb value maximum standard pigment block, as benchmark pigment block, the RGB of definition and benchmark pigment block
Error between value ±≤20% color interval is depth brown section；
Step 3: acquiring the rgb value on apple crisp slices surface to be measured, multiple rgb values to be measured are obtained, by rgb value to be measured and depth
The rgb value for spending brown section compares,
If being located at 5% of area≤apple crisp slices to be measured area corresponding to the RGB to be measured in depth brown stain section, sentence
The apple crisp slices to be measured that break are slight brown stain；
If be located at depth brown stain section RGB to be measured corresponding to area, account for the area of apple crisp slices to be measured 5%~
15%, then judge apple crisp slices to be measured for moderate brown stain；
If being located at 15% of area >=apple crisp slices to be measured area corresponding to the RGB to be measured in depth brown stain section,
Judge apple crisp slices to be measured for severe brown stain.
Preferably, in the method using image Segmentation Technology evaluation apple crisp slices browning degree, the step
In one, multi-disc sample apple crisp slices are prepared, specifically: according to the shape of apple raw material, apple is cut into a thickness of 3~15mm
Sheet apple flakes.
Preferably, in the method using image Segmentation Technology evaluation apple crisp slices browning degree, the step
In one, apple flakes pass through heated-air drying, vacuum drying, vacuum frying drying, microwave drying, vacuum freeze drying or changing temperature-pressure-difference
Explosion puffing drying makes its water content≤7%, obtains sample apple crisp slices.
Preferably, in the method using image Segmentation Technology evaluation apple crisp slices browning degree, the step
In one, apple flakes are dried under the conditions of temperature is 50~190 DEG C to water content≤7%, obtain sample apple crisp slices.
Preferably, in the method using image Segmentation Technology evaluation apple crisp slices browning degree, the step
In one, using brightness value, red value of green and the champac value of the outer surface of color electronic eyes collecting sample apple crisp slices.
Preferably, in the method using image Segmentation Technology evaluation apple crisp slices browning degree, the step
In two, in the brightness value of all sample apple crisp slices, maximum value and minimum value are filtered out, according to the maximum of sample apple crisp slices
Brightness value and minimum luminance value form a brightness range, brightness range are divided into 5 regions.
Preferably, in the method using image Segmentation Technology evaluation apple crisp slices browning degree, the step
In three, dry apple crisp slices to be measured acquire the rgb value on the surface of apple crisp slices to be measured to its water content≤7%.
Preferably, in the method using image Segmentation Technology evaluation apple crisp slices browning degree, the step
In three, the rgb value on the surface of apple crisp slices to be measured is acquired with color electronic eyes.
Preferably, in the method using image Segmentation Technology evaluation apple crisp slices browning degree, the step
In three, rgb value to be measured and the rgb value in depth brown section are compared, specifically:
The error for calculating all rgb values in RGB to be measured and depth brown section, if there are one in depth brown section
Error≤± 20% of rgb value and rgb value to be measured then judges that the rgb value to be measured is located at depth brown section；
If judging that this is to be measured there is no the rgb value with error≤± 20% of rgb value to be measured in depth brown section
Rgb value is not located at depth brown section.
The present invention is include at least the following beneficial effects: the unification established in the present invention using color electronic eyes is objectively commented
Valence evaluates apple crisp slices brown stain degree reference standard, so that detection apple crisp slices are more accurate；It can be timely using color electronic eyes
Ground is evaluated and is classified to apple crisp slices browning degree, can to avoid caused in preparing sample and measurement process further accidentally
Difference；Apple crisp slices browning degree ratio, the browning degree of the dry apple crisp slices of accurate quantitative analysis can be obtained using color electronic eyes.
The color electronic eyes that the present invention uses simultaneously is commercially available, and operation sequence is simple.The invention can be research work
The method of rapidly evaluation apple crisp slices browning degree is provided with the personnel of food processing industry, while may be that brown stain classification mentions
It is supported for reliable data.
Further advantage, target and feature of the invention will be partially reflected by the following instructions, and part will also be by this
The research and practice of invention and be understood by the person skilled in the art
Detailed description of the invention
Fig. 1 is flow chart of the present invention.
Fig. 2 is the image of the fresh sample apple flakes in the embodiment of the present invention 2 using the acquisition of common camera installation.
Fig. 3 is the image of the sample apple crisp slices in the embodiment of the present invention 2 using the acquisition of common camera installation.
Fig. 4 is in the embodiment of the present invention 2 using the image of the fresh sample apple flakes of color electron collection.
Fig. 5 is in the embodiment of the present invention 2 using the image of the sample apple crisp slices of color electron collection.
Specific embodiment
Present invention will be described in further detail below with reference to the accompanying drawings, to enable those skilled in the art referring to specification text
Word can be implemented accordingly.
It should be appreciated that such as " having ", "comprising" and " comprising " term used herein do not allot one or more
The presence or addition of a other elements or combinations thereof.
As shown in Figure 1, the present invention provides a kind of method using image Segmentation Technology evaluation apple crisp slices browning degree, packet
It includes:
Step 1: preparation multi-disc sample apple crisp slices, the brightness value of the outer surface of collecting sample apple crisp slices, red value of green and
Champac value；
Step 2: maximum value and minimum value are filtered out in the brightness value of all sample apple crisp slices, according to sample apple
The maximum brightness value and minimum luminance value of crisp chip form a brightness range, brightness range are divided into 3~7 regions, each
In region, according to the range of value of green red in the region, which is divided into 3~7 pigment blocks, according in each pigment block
The pigment block is divided into 3~7 sub- pigment blocks, filters out the sub- pigment block of contribution rate of accumulative total >=85% by the range of champac value,
Composition standard pigment block filters out rgb value maximum standard pigment block, as benchmark pigment block, the RGB of definition and benchmark pigment block
The color interval of error≤± 20% between value is depth brown section；
Step 3: acquiring the rgb value on apple crisp slices surface to be measured, multiple rgb values to be measured are obtained, by rgb value to be measured and depth
The rgb value for spending brown section compares,
If being located at 5% of area≤apple crisp slices to be measured area corresponding to the RGB to be measured in depth brown stain section, sentence
The apple crisp slices to be measured that break are slight brown stain；
If be located at depth brown stain section RGB to be measured corresponding to area, account for the area of apple crisp slices to be measured 5%~
15%, then judge apple crisp slices to be measured for moderate brown stain；
If being located at 15% of area >=apple crisp slices to be measured area corresponding to the RGB to be measured in depth brown stain section,
Judge apple crisp slices to be measured for severe brown stain.
In one embodiment, in step 1, multi-disc sample apple crisp slices are prepared, specifically: according to apple raw material
Shape, apple is cut into the apple flakes of the sheet with a thickness of 3~15mm.
In one embodiment, in step 1, apple flakes are by heated-air drying, vacuum drying, vacuum frying are dry,
Microwave drying, vacuum freeze drying or changing temperature-pressure-difference and puffing are dry, make its water content≤7%, obtain sample apple crisp slices.
In one embodiment, in step 1, apple flakes are dried under the conditions of temperature is 50~190 DEG C to containing
Water≤7% obtains sample apple crisp slices.
In one embodiment, in step 1, using the outer surface of color electronic eyes collecting sample apple crisp slices
Brightness value, red value of green and champac value.
In one embodiment, in step 2, in the brightness value of all sample apple crisp slices, maximum value is filtered out
And minimum value forms a brightness range according to the maximum brightness value and minimum luminance value of sample apple crisp slices, brightness range is equal
It is divided into 5 regions.
In one embodiment, in step 3, dry apple crisp slices to be measured to its water content≤7% are acquired to be measured
The rgb value on the surface of apple crisp slices.
In one embodiment, in step 3, the RGB on the surface of apple crisp slices to be measured is acquired with color electronic eyes
Value.
In one embodiment, in step 3, rgb value to be measured and the rgb value in depth brown section are compared, specifically
Are as follows:
The error for calculating all rgb values in RGB to be measured and depth brown section, if there are one in depth brown section
Error≤± 20% of rgb value and rgb value to be measured then judges that the rgb value to be measured is located at depth brown section；
If judging that this is to be measured there is no the rgb value with error≤± 20% of rgb value to be measured in depth brown section
Rgb value is not located at depth brown section.
In order to make those skilled in the art that the technology of disclosure of the invention be more clearly understood, it is subject to now in conjunction with embodiment
Explanation.
Embodiment 1,
Electronic eyes model: V270, manufacturer: Hunterlab company of the U.S., Digieye color electronic eyes.
Randomly selecting Fuji, the Green Dragon, beautiful graupel, the short gold of Stark, Ka Dina and the kind apple of Rayleigh 6 is test material, every product
System takes the apple of 6 no disease and pests harms uniform in size, dry using pulsation pressure difference flash distillation as the raw material for preparing sample apple crisp slices
It is dry, sample apple crisp slices are prepared.
The measurement of color electronic eyes: opening lamp box, camera and computer, carries out standard white plate correction, carries out after the completion of correction color
Card is corrected, and after the completion of correction, is carried out light source selection, is selected diffusing reflection D65 light source, preheating 10min is booted up, by sample
It is placed on work blank, starts the acquisition of camera sample image, after sample image display, pass through image analysis processing software
CIE L*a*b* acquisition prepares the color evaluations such as sample apple crisp slices L* (brightness value), a* (red value of green) and b* (champac value) and refers to
Mark.
Image segmentation: according to the value range of all sample apple crisp slices L* values, 5 regions (45-54,54- are divided into
63,63-72,72-81,81-90), each region is carrying out 5 equal parts according to a* value, is obtaining 5 pigment blocks, each pigment block according to
Carry out 5 equal parts according to b* value, obtain 5 sub- pigment blocks, screen the sub- pigment block of contribution rate of accumulative total >=85%, in the present embodiment there are five
Sub- pigment block is contribution rate of accumulative total >=85%, this five sub- pigment blocks are set as standard pigment block, filter out rgb value maximum mark
Quasi- pigment block, the color interval as benchmark pigment block, error≤± 20% between definition and the rgb value of benchmark pigment block are
Depth brown section.
Random Fuji, the Green Dragon, beautiful graupel, the short gold of Stark, Ka Dina and the kind apple of Rayleigh 6 chosen again is examination again
Sample apple crisp slices are prepared in material；Apple crisp slices to be measured will be prepared to be placed in color electronic eyes, image is chosen, and utilizes
Filter removes background, acquires the rgb value of apple crisp slices to be measured, and it is crisp to obtain apple by image dividing processing and image recognition technology
Piece brown stain ratio effectively can make overall merit to apple crisp slices browning degree.
Table 1 is apple crisp slices color electronic eyes result to be measured
As shown in Table 1, it is Ka Dina apple that value of chromatism △ E is maximum, is located at the rgb value institute to be measured in depth brown section
Corresponding area ratio accounts for the 40.06% of entire apple crisp slices area to be measured.Although Green Dragon value of chromatism is not the largest, its
Depth brown ratio is to be the largest, so value of chromatism can not really reflect apple crisp slices browning degree, depth brown area
Domain more can preferably embody the apparent crisp chip degree of apple.Lesser value of chromatism is Fuji and beautiful graupel, face corresponding to rgb value to be measured
Product ratio accounts for the 4.73% and 10.57% of apple crisp slices area to be measured respectively, lower compared to other several kind browning degrees.
Compared with sensory evaluation method and light splitting colour difference meter, the apparent color brown stain journey of apple crisp slices is evaluated using method provided by the invention
Spend more accurate, error is small, avoids subjective differences caused by artificial evaluation, and easy to operate, is easy to be classified.
Embodiment 2,
Randomly selecting Fuji apple is test material, takes the apple of 6 no disease and pests harms uniform in size.Experiment is with hot wind-pulsating pressure
Difference flashes different drying stages and is measured to apple crisp slices.
Peeled and cored after apple is cleaned is cut into a thickness of 5mm disk, is laid on pallet, is in heated-air drying temperature
70 DEG C are 30% or so to apple flakes wet basis moisture content, and all wet 12 hours under the conditions of being placed in 4 DEG C are placed in flash temperature in flash tank
It is 95 DEG C, flash distillation number is 5 times, and evacuation temperature is 70 DEG C, and evacuated time is 1 hour apple crisp slices drying stage sample point difference
For fresh sample, after predrying, after all wet, pulsating differential pressure flash drying terminates, and obtains sample apple crisp slices.
It is measured with color electronic eyes: opening lamp box, camera and computer.Standard white plate correction is carried out, is carried out after the completion of correction
Coloured silk card is corrected, and after the completion of correction, is carried out light source selection, is selected diffusing reflection D65 light source, and preheating 10min is booted up.By sample
Product are placed on work blank, start the acquisition of camera sample image.After sample image display, pass through image analysis processing software
Obtain the color evaluations indexs such as CIEL*a*b*.
Image segmentation: according to the value range of all sample apple crisp slices L* values, 5 regions (45-54,54- are divided into
63,63-72,72-81,81-90), each region is carrying out 5 equal parts according to a* value, is obtaining 5 pigment blocks, each pigment block according to
Carry out 5 equal parts according to b* value, obtain 5 sub- pigment blocks, screen the sub- pigment block of contribution rate of accumulative total >=85%, in the present embodiment there are five
Sub- pigment block is contribution rate of accumulative total >=85%, this five sub- pigment blocks are set as standard pigment block, filter out rgb value maximum mark
Quasi- pigment block, the color interval as benchmark pigment block, error≤± 20% between definition and the rgb value of benchmark pigment block are
Depth brown section.
The random Fuji that chooses again is test material again, and sample apple crisp slices are prepared；Apple crisp slices to be measured will be prepared
It is placed in color electronic eyes, image is chosen, and removes background using filter, acquires the rgb value of apple crisp slices to be measured, passes through image point
It cuts processing and image recognition technology obtains apple crisp slices brown stain ratio, synthesis effectively can be made to apple crisp slices browning degree and commented
Valence.
Table 2 is the color electronic eyes result of Fuji apple crisp chip to be measured
Fig. 2 and Fig. 3 is the picture of common camera installation shooting, and Fig. 2 is the image of fresh sample apple flakes, and Fig. 3 is sample
The image of apple crisp slices, the variation of apple crisp slices value of chromatism is maximum during all wet, pulsating differential pressure flash drying stage apple surface
Brown stain generation is most obvious, so value of chromatism △ E cannot react color change during apple crisp slices very well；It is color electricity by Fig. 4
The fresh sample apple flakes of sub- eye acquisition, Fig. 5 are the image of the sample apple crisp slices of color electronic eyes acquisition, can clearly be adopted
Collect the color difference of sample apple crisp slices.
As shown in Table 2, after using the analysis of color electronic eyes image processing techniques, as can be seen from the table, apple after extruding
Crisp chip is located at 4.73% that area ratio corresponding to the rgb value to be measured in depth brown section accounts for apple crisp slices area to be measured, and
Being located at area ratio corresponding to the rgb value to be measured in depth brown section after equal wet process in apple crisp slices to be measured, to account for apple to be measured crisp
The 0.29% of piece area.It is crisp using method provided by the invention evaluation apple compared with sensory evaluation method and light splitting colour difference meter
The apparent color browning degree of piece is more accurate, and error is small, avoids subjective differences caused by artificial evaluation, and easy to operate, easily
In classification.
Although the embodiments of the present invention have been disclosed as above, but its is not only in the description and the implementation listed
With it can be fully applied to various fields suitable for the present invention, for those skilled in the art, can be easily
Realize other modification, therefore without departing from the general concept defined in the claims and the equivalent scope, the present invention is simultaneously unlimited
In specific details and legend shown and described herein.
Claims (9)
1. a kind of method using image Segmentation Technology evaluation apple crisp slices browning degree characterized by comprising
Step 1: preparation multi-disc sample apple crisp slices, the brightness value of the outer surface of collecting sample apple crisp slices, red value of green and champac
Value；
Step 2: maximum value and minimum value are filtered out in the brightness value of all sample apple crisp slices, according to sample apple crisp slices
Maximum brightness value and minimum luminance value, form a brightness range, brightness range is divided into 3~7 regions, in each region
In, according to the range of value of green red in the region, which is divided into 3~7 pigment blocks, according to the champac in each pigment block
The pigment block is divided into 3~7 sub- pigment blocks by the range of value, filters out the sub- pigment block of contribution rate of accumulative total >=85%, composition
Standard pigment block filters out rgb value minimum sandards pigment block, as benchmark pigment block, the rgb value of definition and benchmark pigment block it
Between error≤± 20% color interval be depth brown section；
Step 3: acquiring the rgb value on apple crisp slices surface to be measured, multiple rgb values to be measured are obtained, rgb value to be measured and depth is brown
The rgb value in color section compares,
If be located at depth brown stain section RGB to be measured corresponding to area≤apple crisp slices to be measured area 5%, judge to
Survey apple crisp slices are slight brown stain；
If being located at area corresponding to the RGB to be measured in depth brown stain section, the 5%~15% of the area of apple crisp slices to be measured is accounted for,
Then judge apple crisp slices to be measured for moderate brown stain；
If being located at 15% of area >=apple crisp slices to be measured area corresponding to the RGB to be measured in depth brown stain section, judge
Apple crisp slices to be measured are severe brown stain.
2. utilizing the method for image Segmentation Technology evaluation apple crisp slices browning degree as described in claim 1, which is characterized in that
In the step 1, multi-disc sample apple crisp slices are prepared, specifically: according to the shape of apple raw material, apple is cut into thickness
For the apple flakes of the sheet of 3~15mm.
3. utilizing the method for image Segmentation Technology evaluation apple crisp slices browning degree as claimed in claim 2, which is characterized in that
In the step 1, apple flakes by heated-air drying, vacuum drying, vacuum frying drying, microwave drying, vacuum freeze drying or
Changing temperature-pressure-difference and puffing is dry, makes its water content≤7%, obtains sample apple crisp slices.
4. utilizing the method for image Segmentation Technology evaluation apple crisp slices browning degree as claimed in claim 2, which is characterized in that
In the step 1, apple flakes are dried under the conditions of temperature is 50~190 DEG C to water content≤7%, obtain sample apple
Crisp chip.
5. utilizing the method for image Segmentation Technology evaluation apple crisp slices browning degree as described in claim 1, which is characterized in that
In the step 1, using brightness value, red value of green and the champac value of the outer surface of color electronic eyes collecting sample apple crisp slices.
6. utilizing the method for image Segmentation Technology evaluation apple crisp slices browning degree as described in claim 1, which is characterized in that
In the step 2, in the brightness value of all sample apple crisp slices, maximum value and minimum value are filtered out, it is crisp according to sample apple
The maximum brightness value and minimum luminance value of piece form a brightness range, brightness range are divided into 5 regions.
7. utilizing the method for image Segmentation Technology evaluation apple crisp slices browning degree as described in claim 1, which is characterized in that
In the step 3, dry apple crisp slices to be measured acquire the rgb value on the surface of apple crisp slices to be measured to its water content≤7%.
8. utilizing the method for image Segmentation Technology evaluation apple crisp slices browning degree as claimed in claim 7, which is characterized in that
In the step 3, the rgb value on the surface of apple crisp slices to be measured is acquired with color electronic eyes.
9. utilizing the method for image Segmentation Technology evaluation apple crisp slices browning degree as described in claim 1, which is characterized in that
In the step 3, rgb value to be measured and the rgb value in depth brown section are compared, specifically:
The error for calculating all rgb values in RGB to be measured and depth brown section, if there are a rgb values in depth brown section
With error≤± 20% of rgb value to be measured, then judge that the rgb value to be measured is located at depth brown section；
If judging the rgb value to be measured there is no the rgb value with error≤± 20% of rgb value to be measured in depth brown section
It is not located at depth brown section.
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