CN103792235A - Diffuse transmission spectrum and image information fusion method for detecting internal quality of honeydew melons on line and device - Google Patents
Diffuse transmission spectrum and image information fusion method for detecting internal quality of honeydew melons on line and device Download PDFInfo
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Abstract
The invention relates to a diffuse transmission spectrum and image information fusion method for detecting internal quality of honeydew melons on line and a device. The method comprises the following steps: establishing a honeydew melon internal quality nondestructive testing model and detecting the internal quality of a honeydew melon sample on line. The device comprises a conveying device, a signal control unit, a diffuse transmission spectrum acquisition device, a honeydew melon image acquisition device and a honeydew melon internal quality detection software system; drag rings for containing honeydew melons are arranged on the conveying device; each drag ring sequentially penetrates through an image acquisition chamber of the image acquisition device and a spectrum acquisition chamber of the diffuse transmission spectrum acquisition device; a layer sensor and two industrial cameras in the image acquisition chamber and a laser sensor and a near infrared spectrometer in the spectrum acquisition chamber are connected with a computer provided with the honeydew melon internal quality detection software system through the signal control unit. According to the method and the device, the internal quality of honeydew melons can be effectively detected, and the defect that internal quality indexes of the honeydew melons cannot be accurately detected through the image information is overcome.
Description
Technical field
The present invention relates to the online lossless detection method of honeydew melon inside quality and device, relate in particular to the honeydew melon inside quality online test method and the device that adopt diffuse transmission spectrum and image information fusion.
Background technology
Honeydew melon is the important industrial crops in the Northwest, for a long time, in honeydew melon sales process, degree of ripeness and quality are divided and are just adopted traditional artificial process or destructive sampling Detection, time and effort consuming, subjective factor impact is large, detection and classification are extensive, cause the good and the bad to mix, and have reduced the market competitiveness and the selling price of this fruit.The problems referred to above that solve honeydew melon existence can not rely on merely and cultivate new varieties, improve plantation and accumulating condition, but more will focus on Quality Detection and the classification treatment technology in commercialization process.
Quality grading is the important step of honeydew melon commercialization processing, the leading indicator that determines honeydew melon quality is its Internal quality index (pol, hardness), but adopting diffuse transmission spectral technique in the time it being carried out to inside quality detection, in spectral information, not only comprise its inside quality information, also comprise its surface information, as shape, size information, and there is obviously impact to diffuse transmission spectrum in the difference of honeydew melon shape, size, and then affect Quality Detection precision.At present, also there is no from diffuse transmission spectrum, to eliminate reliably the method for these impacts.Therefore, as when the diffuse transmission spectral analysis to honeydew melon, know its shape, size information, and then in the time setting up detection model, consider shape, the impact of size on spectrum, surely can improve accuracy of detection.Image detects and has unique advantage the external appearance characteristic quick nondestructive of fruit, not only can detect shape, the size of honeydew melon, and can detect its appearance color feature, and color characteristic has certain correlativity with the inside quality of honeydew melon.Therefore, as by spectral information and image information fusion, by multi-sensor information fusion learn from other's strong points to offset one's weaknesses, the performance more superior than single-sensor carry out the detection of honeydew melon inside quality, not only can solve honeydew melon shape, the affect problem of difference in size on accuracy of detection, also the feature that can utilize the appearance color feature of honeydew melon and its inside quality to have correlativity improves accuracy of detection, has also overcome image simultaneously and cannot go deep into honeydew melon inside and carry out the deficiency that the index of quality accurately detects.The inside quality detection method of therefore, carrying out based on honeydew melon diffuse transmission spectrum and image information fusion is studied significant with device.
Summary of the invention
For overcoming the defect of prior art, the invention provides honeydew melon inside quality online test method and the device thereof of a kind of diffuse transmission spectrum and image information fusion, technical scheme of the present invention is: the honeydew melon inside quality online test method of a kind of diffuse transmission spectrum and image information fusion, comprise that setting up honeydew melon inside quality Nondestructive Testing Model and honeydew melon sample interior quality carries out the online step detecting, specific as follows:
(1) set up the model of honeydew melon inside quality Non-Destructive Testing:
A, batch honeydew melon sample is carried out to the positive image acquisition with side of online diffuse transmission spectrum and honeydew melon;
B, to gather sample spectra proofread and correct pre-service;
C, extract index of quality pol, hardness sensitivity spectrum information, set up the model of characteristic wave bands;
D, the honeydew melon image collecting is carried out to pre-service, extract index of quality pol, hardness sensitive colors character subset;
E, calculating honeydew melon volume;
The fruit shape index of f, calculating honeydew melon;
G, color characteristic subset, volume, fruit shape index are merged as characteristics of image variable and spectral information, set up the online detection model of honeydew melon inside quality.
(2) establish after the online detection model of honeydew melon inside quality, unknown honeydew melon sample interior quality detected online:
A, honeydew melon is lain in a horizontal plane on the shackle of conveying device, at the uniform velocity steadily travel forward;
B, arrive when diffuse transmission spectra collection chamber when honeydew melon, gather honeydew melon arrival of indoor laser sensor output of putting and feed back signal to signaling control unit, by the signaling control unit triggering near infrared spectrometer of giving an order, near infrared spectrometer starts to gather the spectral information of tested honeydew melon, after honeydew melon passes through, a honeydew melon of laser sensor output leaves and feeds back signal to signaling control unit, is given an order and is stopped near infrared spectrometer work by signaling control unit;
C, arrive when honeydew melon image acquisition chamber when honeydew melon, the indoor honeydew melon of laser sensor output of image acquisition arrives and feeds back signal to signaling control unit, give an order and trigger two industrial cameras by signaling control unit, two industrial cameras gather respectively direct picture information and the side image information of tested honeydew melon, after honeydew melon passes through, the indoor honeydew melon of laser sensor output of image acquisition leaves and feeds back signal to signaling control unit, is given an order and is stopped industrial camera work by signaling control unit;
D, the spectrum collecting and image information are input in the online detection model of honeydew melon inside quality of setting up in step (1), obtain the inside quality of tested honeydew melon, and then judge honeydew melon grade;
The device of the honeydew melon inside quality online test method of a kind of diffuse transmission spectrum and image information fusion, comprise conveying device, signaling control unit, diffuse transmission spectra collection device, honeydew melon image collecting device and computing machine, the travelling belt of described conveying device is provided with the shackle that holds honeydew melon, and each shackle is all successively through the image acquisition chamber of honeydew melon image collecting device and the spectra collection chamber of diffuse transmission spectra collection device; The indoor laser sensor of image acquisition is all connected with the computing machine that honeydew melon inside quality detection software systems are installed by signaling control unit with two industrial cameras, indoor laser sensor, the near infrared spectrometer of spectra collection.
Described conveying device (19) comprises support connecting frame (26) and is arranged on the first belt backing roll (27) on support connecting frame (26), the second belt backing roll (28), the first drive sprocket (29), chain drive-belt (30), the second drive sprocket (31), buncher (32) and travelling belt (5), the second drive sprocket (31) is arranged on buncher (32), the first drive sprocket (29) is arranged on the first belt backing roll (27), described the first drive sprocket (29) and the second drive sprocket (31) are in transmission connection by chain drive-belt (30), travelling belt (5) is around the first belt backing roll 27 on support connecting frame and the periphery of the second belt backing roll (28), several shackles are fixed on travelling belt (5) uniformly.
Described diffuse transmission spectrum device for picking comprises spectra collection chamber (18), circular-arc light source fixing frame (8), halogen light source (10), the laser sensor (7) that spectra collection is indoor, fibre-optical probe (15), near infrared spectrometer (21), wherein halogen light source (10), the laser sensor (7) that spectra collection is indoor, circular-arc light source fixing frame (8) is positioned at inside, spectra collection chamber (18), halogen light source (10) is evenly distributed on circular-arc light source fixing frame (8), two circular-arc light source fixing frames (8) are oppositely arranged, shackle passes in the middle of two circular-arc light source fixing frames (8), top in spectra collection chamber (18) is provided with ventilating opening, and fan (9) is installed on the top of ventilating opening, and fibre-optical probe (15) is positioned at the bottom of shackle, is connected with near infrared spectrometer (21) by optical fiber.
Described honeydew melon image collecting device comprises honeydew melon image acquisition chamber (11), the first industrial camera (1), the second industrial camera (4), LED light source (3), the indoor laser sensor (2) of image acquisition, wherein the first industrial camera (1), the second industrial camera (4), indoor laser sensor (2) and the LED light source (3) of image acquisition are positioned at inside, honeydew melon image acquisition chamber (11), two indoor laser sensors (2) of image acquisition are oppositely arranged, and LED light source (3) is separately positioned on four jiaos of honeydew melon image acquisition chamber; The first industrial camera (1) and the second industrial camera (4) gather respectively direct picture information and the side image information of tested honeydew melon.
Described travelling belt (5) is two, be arranged in parallel each other, the middle space that forms; Article two, travelling belt is all arranged on support connecting frame by the first belt backing roll and the second belt backing roll, and the two ends of shackle are fixedly mounted on respectively on two travelling belts.
Advantage of the present invention is: such scheme provides a kind of online detection of honeydew melon inside quality and stage division and device based on diffuse transmission spectrum and image information fusion, the method merges honeydew melon spectral information and image information, can effectively detect honeydew melon inside quality, also overcome the deficiency that cannot accurately detect by image information honeydew melon Internal quality index simultaneously.
Accompanying drawing explanation
Fig. 1 is the method flow schematic diagram that the present invention sets up model;
Fig. 2 carries out the online quality detecting method schematic flow sheet of fruit after model of the present invention is set up;
Fig. 3 is the schematic diagram of apparatus of the present invention;
Fig. 4 is the schematic diagram of conveying device in Fig. 3;
Fig. 5 is the vertical view of honeydew melon image collecting device in the present invention;
Fig. 6 is the side view of Fig. 5;
Fig. 7 is the vertical view of diffuse transmission spectra collection device in the present invention;
Fig. 8 is the side view of Fig. 7;
Fig. 9 is the interior PLC of signaling control unit and external unit connection diagram in the present invention;
Figure 10 is the method schematic diagram that calculates honeydew melon volume;
Schematic diagram when Figure 11 is very little that in Figure 10, Δ h becomes;
Figure 12 is the method schematic diagram that calculates honeydew melon fruit shape index.
Embodiment
Further describe the present invention below in conjunction with specific embodiment, advantage and disadvantage of the present invention will be more clear along with description.But these embodiment are only exemplary, scope of the present invention are not formed to any restriction.It will be understood by those skilled in the art that lower without departing from the spirit and scope of the present invention and can the details of technical solution of the present invention and form be modified or be replaced, but these modifications and replacement all fall within the scope of protection of the present invention.
Referring to Fig. 1 to Fig. 3, the present invention relates to a kind of honeydew melon inside quality online test method based on diffuse transmission spectrum and image information fusion, comprise and set up the model of honeydew melon inside quality Non-Destructive Testing and the step that honeydew melon sample interior quality is carried out online detection, specific as follows:
(1) set up the model of honeydew melon inside quality Non-Destructive Testing:
A, batch honeydew melon sample is carried out to the positive image acquisition with side of online diffuse transmission spectrum and honeydew melon;
B, the sample spectra gathering is proofreaied and correct to pre-service, adopt level and smooth, differential, polynary scatter correction, Norris filtering and baseline to proofread and correct pre-service;
C, extract index of quality pol, hardness sensitivity spectrum information, set up the model of characteristic wave bands; The simulation genetic algorithm that this step adopts simulated annealing to combine with genetic algorithm;
D, the honeydew melon image collecting is carried out to pre-service, extract index of quality pol, hardness sensitive colors character subset; Adopt morphology denoising, Threshold segmentation, image tagged to carry out pre-service to the honeydew melon image collecting, adopt neural network algorithm extract index of quality pol, hardness sensitive colors character subset (H, L*, a*, b*,
).Read Cucumis melo L cv. Hetao image and change into binary map, for honeydew melon feature of image by image is corroded respectively, expand, opening operation carries out morphology denoising, adopt the global threshold of the Otsu method computed image of comparative maturity, and convert image to binary map with this threshold value, then binary map is filled, the object of doing be like this according to gray level to pixel set divide, the each subset that must fall forms a region corresponding with real scenery, each intra-zone has consistent attribute, and adjacent area layout has this consistent attribute, realize by this method Threshold segmentation, honeydew melon picture has been carried out after opening operation, and find the centre of form of honeydew melon, on honeydew melon picture, mark six square boxs take the honeydew melon centre of form as benchmark, these six frames are exactly the region that we gather pol, to the image of mark, realize the extraction of color average by MATLAB statement, extract respectively R, G, B, H, S, I, L*, a*, nine kinds of color characteristics such as b*, adopting BP neural network to carry out color optimal characteristics to these nine kinds of color characteristics is worth choosing, find the character subset the highest with honeydew melon inside quality correlativity as input quantity, for merging, follow-up provides Data support.
E, calculating honeydew melon volume; Due to honeydew melon sub-elliptical, can suppose that desirable honeydew melon two dimensional image is about vertical footpath symmetry, adopt layering Integral Thought (pixel volume of desirable honeydew melon can be regarded the integration of a series of round platform volumes in vertical footpath direction as) to calculate honeydew melon volume; Suppose that desirable honeydew melon is that figure below is the profile of desirable honeydew melon about the rotary body of vertical footpath symmetry, in figure, L is vertical footpath, and be vertical direction, A is summit, and straight line CD, EF are vertical with vertical footpath, with the left intersection point of profile be that the right intersection point of C, E is D, F, the distance between CD and EF be Δ h,
=
,
=
, as shown in figure 10; In the time that Δ h becomes very little gradually, enclosed partly and can be similar to and regard round platform as by EF, CD, as shown in figure 11, the volume that can calculate thus round platform is:
Therefore from the angle of infinitesimal analysis, the volume of desirable honeydew melon can be regarded the integration of a series of round platforms on vertical footpath direction L as
The fruit shape index of f, calculating honeydew melon; In view of the feature of honeydew melon image approximate ellipse, obtain the profile of honeydew melon by G passage blocking cut-off process, extract honeydew melon marginal information, find the centre of form of honeydew melon according to marginal information, then adopt software slide calliper rule method to calculate the fruit shape index of honeydew melon; The vertical and horizontal that adopts Minimum Enclosing Rectangle method to carry out honeydew melon detects, the picture of having preserved is carried out to pre-service, choose RGB color space, extract G component image, and convert binary map to, adopt cnny operator to carry out rim detection, extract minimum boundary rectangle that honeydew melon edge calculations comprises this edge and show that honeydew melon indulges footpath
transverse diameter
, and then calculating honeydew melon fruit shape index is:
.
G, color characteristic subset, volume, fruit shape index are merged as characteristics of image variable and spectral information, set up the online detection model of honeydew melon inside quality.
(2) establish after the online detection model of honeydew melon inside quality, unknown honeydew melon sample interior quality detected online:
A, honeydew melon is lain in a horizontal plane on the shackle of conveying device, at the uniform velocity steadily travel forward;
B, arrive when diffuse transmission spectra collection chamber when honeydew melon, gather honeydew melon arrival of indoor laser sensor output of putting and feed back signal to signaling control unit, by the signaling control unit triggering spectrometer of giving an order, spectrometer starts to gather the spectral information of tested honeydew melon, after honeydew melon passes through, a honeydew melon of laser sensor output leaves and feeds back signal to signaling control unit, is given an order and is stopped spectrometer work by signaling control unit;
C, arrive when honeydew melon image acquisition chamber when honeydew melon, gather honeydew melon arrival of indoor laser sensor output of putting and feed back signal to signaling control unit, give an order and trigger two industrial cameras by signaling control unit, two industrial cameras gather respectively direct picture information and the side image information of tested honeydew melon, after honeydew melon passes through, a honeydew melon of laser sensor output leaves and feeds back signal to signaling control unit, is given an order and is stopped industrial camera work by signaling control unit;
D, the spectrum collecting and image information are input in the online detection model of honeydew melon inside quality of setting up in step (1), obtain the inside quality of tested honeydew melon, and then judgement and divide honeydew melon grade;
Referring to Fig. 3 to Fig. 9, a kind of honeydew melon inside quality online test method and device of implementing based on diffuse transmission spectrum and image information fusion, comprise conveying device, signaling control unit 14, diffuse transmission spectra collection device, honeydew melon image collecting device and computing machine, on the travelling belt of described conveying device, be provided with the shackle that holds honeydew melon, each shackle is all successively through the image acquisition chamber 11 of honeydew melon image collecting device and the spectra collection chamber 18 of diffuse transmission spectra collection device; (the first industrial camera 1, the second industrial camera 4, indoor laser sensor 7, the near infrared spectrometer 21 of spectra collection are all connected with the computing machine 24 that honeydew melon inside quality detection software systems are installed by signaling control unit 14 the indoor laser sensor 2 of image acquisition with two industrial cameras.
Described conveying device 19 comprises support connecting frame 26 and is arranged on the first belt backing roll 27 on support connecting frame (26), the second belt backing roll 28, the first drive sprocket 29, chain drive-belt 30, the second drive sprocket 31, buncher 32, travelling belt 5 forms, the second drive sprocket 31 is arranged on buncher 32, the first drive sprocket 29 is arranged on the first belt backing roll 27, the first described drive sprocket 29 is connected by chain drive-belt 30 with the second drive sprocket 31, travelling belt 5 is around the first belt backing roll 27 on support connecting frame and the periphery of the second belt backing roll 28, several shackles 6 are fixed on travelling belt uniformly.
Described travelling belt is two, be arranged in parallel each other, the middle space that forms; Article two, travelling belt is all arranged on support connecting frame by the first belt backing roll and the second belt backing roll; The two ends of shackle are fixedly mounted on respectively on two travelling belts, after honeydew melon is placed on filler ring, the bottom-exposed of honeydew melon, near infrared spectrometer is positioned at the outside of spectra collection chamber, the bottom in space between two travelling belts, for the honeydew melon in shackle is carried out to spectra collection, it is captured that its front (being top) is positioned at positive industrial camera.
Described diffuse transmission spectrum device for picking comprises spectra collection chamber 18, circular-arc light source fixing frame 8, halogen light source 10, indoor laser sensor 7, fibre-optical probe 15, the near infrared spectrometer 21 of spectra collection, wherein halogen light source 10, indoor laser sensor 7, the circular-arc light source fixing frame 8 of spectra collection are positioned at 18 inside, spectra collection chamber, halogen light source 10 is evenly distributed on circular-arc light source fixing frame 8, two circular-arc light source fixing frames 8 are oppositely arranged, and shackle passes in the middle of two circular-arc light source fixing frames; Top in spectra collection chamber is provided with ventilating opening, on the top of ventilating opening, fan 9 is installed, and fibre-optical probe 15 is positioned at the bottom of filler ring, is connected with near infrared spectrometer (21) by optical fiber (16).
Described honeydew melon image collecting device comprises honeydew melon image acquisition chamber 11, the first industrial camera 1, the second industrial camera 4, LED light source 3, the indoor laser sensor 2 of image acquisition, wherein the first industrial camera (1), the second industrial camera 4, indoor laser sensor 2 and the LED light source 3 of image acquisition are positioned at 11 inside, honeydew melon image acquisition chamber, two indoor laser sensors 2 of image acquisition are oppositely arranged, and LED light source 3 is separately positioned on four jiaos of honeydew melon image acquisition chamber.The first industrial camera 1 is positioned at inside one side of honeydew melon image acquisition chamber 11, for gathering the direct picture information of tested honeydew melon, i.e. and wherein one end of two of honeydew melon ends; The second industrial camera 4 is positioned at the bottom of honeydew melon image acquisition chamber 11, gathers side (due to the similar ellipse of honeydew melon, side is the one side at the transverse direction place) image information of honeydew melon.
Described travelling belt (5) is two, be arranged in parallel each other, the middle space that forms; Article two, travelling belt is all arranged on support connecting frame by the first belt backing roll and the second belt backing roll, and the two ends of shackle are fixedly mounted on respectively on two travelling belts.
Claims (6)
1. a honeydew melon inside quality online test method for diffuse transmission spectrum and image information fusion, comprises that setting up honeydew melon inside quality Nondestructive Testing Model and honeydew melon sample interior quality carries out the online step detecting, specific as follows:
(1) set up the model of honeydew melon inside quality Non-Destructive Testing:
A, batch honeydew melon sample is carried out to the positive image acquisition with side of online diffuse transmission spectrum and honeydew melon;
B, to gather sample spectra proofread and correct pre-service;
C, extract index of quality pol, hardness sensitivity spectrum information, set up the model of characteristic wave bands;
D, the honeydew melon image collecting is carried out to pre-service, extract index of quality pol, hardness sensitive colors character subset;
E, calculating honeydew melon volume;
The fruit shape index of f, calculating honeydew melon;
G, color characteristic subset, volume, fruit shape index are merged as characteristics of image variable and spectral information, set up the online detection model of honeydew melon inside quality.
(2) establish after the online detection model of honeydew melon inside quality, unknown honeydew melon sample interior quality detected online:
A, honeydew melon is lain in a horizontal plane on the shackle of conveying device, at the uniform velocity steadily travel forward;
B, arrive when diffuse transmission spectra collection chamber when honeydew melon, gather honeydew melon arrival of indoor laser sensor output of putting and feed back signal to signaling control unit, by the signaling control unit triggering near infrared spectrometer of giving an order, near infrared spectrometer starts to gather the spectral information of tested honeydew melon, after honeydew melon passes through, a honeydew melon of laser sensor output leaves and feeds back signal to signaling control unit, is given an order and is stopped near infrared spectrometer work by signaling control unit;
C, arrive when honeydew melon image acquisition chamber when honeydew melon, the indoor honeydew melon of laser sensor output of image acquisition arrives and feeds back signal to signaling control unit, give an order and trigger two industrial cameras by signaling control unit, two industrial cameras gather respectively direct picture information and the side image information of tested honeydew melon, after honeydew melon passes through, the indoor honeydew melon of laser sensor output of image acquisition leaves and feeds back signal to signaling control unit, is given an order and is stopped industrial camera work by signaling control unit;
D, the spectrum collecting and image information are input in the online detection model of honeydew melon inside quality of setting up in step (1), obtain the inside quality of tested honeydew melon, and then judge honeydew melon grade.
2. one kind implements the claims the device of the honeydew melon inside quality online test method of 1 diffuse transmission spectrum and image information fusion, it is characterized in that, comprise conveying device, signaling control unit, diffuse transmission spectra collection device, honeydew melon image collecting device and computing machine, the travelling belt of described conveying device is provided with the shackle that holds honeydew melon, and each shackle is all successively through the image acquisition chamber of honeydew melon image collecting device and the spectra collection chamber of diffuse transmission spectra collection device; The indoor laser sensor of image acquisition is all connected with the computing machine that honeydew melon inside quality detection software systems are installed by signaling control unit with two industrial cameras, indoor laser sensor, the near infrared spectrometer of spectra collection.
3. device according to claim 2, it is characterized in that, described conveying device (19) comprises support connecting frame (26) and is arranged on the first belt backing roll (27) on support connecting frame (26), the second belt backing roll (28), the first drive sprocket (29), chain drive-belt (30), the second drive sprocket (31), buncher (32) and travelling belt (5), the second drive sprocket (31) is arranged on buncher (32), the first drive sprocket (29) is arranged on the first belt backing roll (27), described the first drive sprocket (29) and the second drive sprocket (31) are in transmission connection by chain drive-belt (30), travelling belt (5) is around the first belt backing roll 27 on support connecting frame and the periphery of the second belt backing roll (28), several shackles are fixed on travelling belt (5) uniformly.
4. device according to claim 2, it is characterized in that, described diffuse transmission spectrum device for picking comprises spectra collection chamber (18), circular-arc light source fixing frame (8), halogen light source (10), the laser sensor (7) that spectra collection is indoor, fibre-optical probe (15), near infrared spectrometer (21), wherein halogen light source (10), the laser sensor (7) that spectra collection is indoor, circular-arc light source fixing frame (8) is positioned at inside, spectra collection chamber (18), halogen light source (10) is evenly distributed on circular-arc light source fixing frame (8), two circular-arc light source fixing frames (8) are oppositely arranged, shackle passes in the middle of two circular-arc light source fixing frames (8), top in spectra collection chamber (18) is provided with ventilating opening, and fan (9) is installed on the top of ventilating opening, and fibre-optical probe (15) is positioned at the bottom of shackle, is connected with near infrared spectrometer (21) by optical fiber.
5. device according to claim 2, it is characterized in that, described honeydew melon image collecting device comprises honeydew melon image acquisition chamber (11), the first industrial camera (1), the second industrial camera (4), LED light source (3), the laser sensor (2) that image acquisition is indoor, wherein the first industrial camera (1), the second industrial camera (4), the laser sensor (2) that image acquisition is indoor and LED light source (3) are positioned at inside, honeydew melon image acquisition chamber (11), two indoor laser sensors (2) of image acquisition are oppositely arranged, LED light source (3) is separately positioned on four jiaos of honeydew melon image acquisition chamber, the first industrial camera (1) and the second industrial camera (4) gather respectively direct picture information and the side image information of tested honeydew melon.
6. device according to claim 2, is characterized in that, described travelling belt (5) is two, be arranged in parallel each other, the middle space that forms; Article two, travelling belt is all arranged on support connecting frame by the first belt backing roll and the second belt backing roll, and the two ends of shackle are fixedly mounted on respectively on two travelling belts.
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