CN102253056A - BGA (Ball Grid Array) detection method - Google Patents
BGA (Ball Grid Array) detection method Download PDFInfo
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- CN102253056A CN102253056A CN2011101016569A CN201110101656A CN102253056A CN 102253056 A CN102253056 A CN 102253056A CN 2011101016569 A CN2011101016569 A CN 2011101016569A CN 201110101656 A CN201110101656 A CN 201110101656A CN 102253056 A CN102253056 A CN 102253056A
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Abstract
The invention discloses a BGA (Ball Grid Array) detection method. The BGA detection method disclosed by the invention comprises the following steps: a. intercepting BGA images; b. carrying out Gaussian smoothing on the images; c. carrying out binaryzation on the images with threshold values; d. carrying out bitwise or operation on the images subjected to binaryzation and a completely black image with the same dimension, blackening white regions of the images and whitening black regions, wherein the computational formula is r (i)=255-c(i); e. searching the images for profiles, drawing all the profiles, fitting by utilizing an ellipse and traversing all the profiles, wherein the profiles comprise point sets, wherein a single profile which contains less than 6 points can be neglected; f. judging whether the profiles are BGA boundaries or cavity boundaries or not and forming a BGA queue and a cavity queue; g. judging whether the cavity ratio in a BGA meets a set standard or not; and h. drawing a detection result on an original drawing according to cavities and the type of the BGA. The BGA detection method disclosed by the invention has the advantages of convenience and rapidness in detection and high detection accuracy.
Description
Technical field
The present invention relates to a kind of perspective detection method, relate in particular to a kind of BGA detection method.
Background technology
Present electronics manufacturing is because the continuous miniaturization of part, the densification of component density, especially at the packing forms of BGA in continuous development, original detection means and can not guarantee the quality of production fully, and reliability of products, reprocess and cost after sale also growing.And, along with unleaded popularization, the BGA welding reliability descend and the welding temperature window reduce all make the control of SMT technology require more and more higher.And detect is exactly the eyes and the ear of technology controlling and process, can reflect the problem that exists, to improve and to promote technological level faster.So present unleaded electronics is more and more paid attention to the improvement of detection means from making the merchant.
But there is following shortcoming in traditional BGA detection method:
1) all be BGA color not of the same race to distinguish, have erroneous judgement like this, perhaps precision is not high;
2) can only accomplish to preset certain threshold value and carry out the general screening of BGA, simply carry out choosing of edge contour, extract the empty information of relevant BGA inside and analyze, make the degree of accuracy of test data to embody.
Summary of the invention
The object of the present invention is to provide a kind of BGA detection method, it has the quick and high characteristics of accuracy of detection easy to detect.
The objective of the invention is to be achieved through the following technical solutions:
A kind of BGA detection method, it may further comprise the steps:
A, intercepting BGA image;
B, it is level and smooth that image is carried out Gauss, and purpose is to remove a part of random noise under the prerequisite that keeps image feature information;
C, the image binaryzation of band threshold value is set a threshold values, each point in the traversing graph picture, if this gray-scale value greater than threshold value, then the gray-scale value that will put changes 255 into, otherwise gray-scale value is 0;
D carries out the step-by-step xor operation with an image after the binaryzation and a parafacies with big or small complete black image, is the white portion blackening of image, black region bleaches, computing formula: r (i)=255-c (i), and i is the sequence number of picture point, r (i) is new gray-scale value, and c (i) is former gray-scale value;
E searches profile on image, draw all profiles and use ellipse fitting, and travel through all profiles: profile is made up of point set, and a single point concentrates counting of comprising just to ignore less than 6;
F judges that profile is BGA border or empty border, and forms BGA formation and empty formation;
G judges whether empty ratio satisfies the standard of setting in the BGA;
H is according to cavity and the BGA type testing result of drawing on former figure.
Especially, described step f is further comprising the steps of:
1) if profile is the cavity, enters empty formation; If BGA, compare with the BGA profile in the BGA formation, distinguish normal BGA, be not the BGA of BGA and coincidence, its differentiating method is: if wide and high ratio＞1.3 of this BGA profile or＜0.7, or the center of this BGA profile is in existing the BGA profile, but radius has perhaps existed BGA profile center in this BGA profile less than there being BGA profile radius, but radius then is not the BGA profile less than this BGA profile radius;
If the center of this BGA profile is in existing the BGA profile, and radius is greater than there being BGA profile radius, perhaps existed BGA profile center in this BGA profile, and radius upgrade this BGA profile to enter the BGA formation greater than the BGA profile for overlapping of this BGA profile radius;
Otherwise be normal BGA profile, add the BGA formation.
2) judge profile in the empty formation belongs to which BGA in the BGA formation, travels through the profile in the empty formation, judge the profile center whether in BGA profile scope, if "Yes" then set up attaching relation.
Beneficial effect of the present invention is that described BGA detection method has the following advantages:
1: can in pre-selected zone, carry out BGA and choose automatically, and numbering;
2: carry out choosing of bubble automatically in selected BGA, choosing mainly is to carry out the edge to sketch the contours, and forms closed loop, and the pixel cell of measuring and calculating closed loop inside calculates bubble area, so more can improve estimation precision;
3: data can be classified, and can select to show whole bubble, also can select the single isolated bubbles area.
Description of drawings:
With embodiment the present invention is described in further detail with reference to the accompanying drawings below.
Fig. 1 is the process flow diagram of a kind of BGA detection method of the present invention.
Embodiment
A kind of BGA detection method, it may further comprise the steps:
A, intercepting BGA image;
B, it is level and smooth that image is carried out Gauss, and the matrix of selection is 9X9, and purpose is to remove a part of random noise under the prerequisite that keeps image feature information;
C, the image binaryzation of band threshold value is set a threshold values, each point in the traversing graph picture, if this gray-scale value greater than threshold value, then the gray-scale value that will put changes 255 into, otherwise gray-scale value is 0, and purpose is to make fuzzy edge become clear, so that the edge finding of back is more accurate;
D, image after the binaryzation and a parafacies are carried out the step-by-step xor operation with big or small complete black image, it is the white portion blackening of image, black region bleaches, computing formula: r (i)=255-c (i), i is the sequence number of picture point, r (i) is new gray-scale value, c (i) is former gray-scale value, and purpose is to operate for image can carry out the following profile of searching;
E searches profile on image, draw all profiles and use ellipse fitting, and travel through all profiles: profile is made up of point set, and a single point concentrates counting of comprising just to ignore less than 6;
F judges that profile is BGA border or empty border, and forms BGA formation and empty formation, if profile is the cavity, enters empty formation; If BGA, compare with the BGA profile in the BGA formation, distinguish normal BGA, be not the BGA of BGA and coincidence, its differentiating method is: the center of (＞1.3 or＜0.7) or this BGA profile is in existing the BGA profile if the wide and high ratio of this BGA profile, but radius is less than there being BGA profile radius, perhaps existed BGA profile center in this BGA profile, but radius then is not the BGA profile less than this BGA profile radius;
If the center of this BGA profile is in existing the BGA profile, and radius is greater than there being BGA profile radius, perhaps existed BGA profile center in this BGA profile, and radius upgrade this BGA profile to enter the BGA formation greater than the BGA profile for overlapping of this BGA profile radius;
Otherwise be normal BGA profile, add the BGA formation.
Judge profile in the empty formation belongs to which BGA in the BGA formation, travels through the profile in the empty formation, judge the profile center whether in BGA profile scope, if "Yes" then set up attaching relation.
G judges whether empty ratio satisfies the standard of setting in the BGA;
H is according to cavity and the BGA type testing result of drawing on former figure.
Above-mentioned BGA detection method can be carried out BGA and chosen automatically in pre-selected zone, and numbering; Automatically carry out choosing of bubble in selected BGA, choosing mainly is to carry out the edge to sketch the contours, and forms closed loop, and the pixel cell of measuring and calculating closed loop inside calculates bubble area, so more can improve estimation precision; Data can be classified, and can select to show whole bubble, also can select the single isolated bubbles area.
Claims (2)
1. BGA detection method is characterized in that: may further comprise the steps:
A, intercepting BGA image;
B, it is level and smooth that image is carried out Gauss, and purpose is to remove a part of random noise under the prerequisite that keeps image feature information;
C, the image binaryzation of band threshold value is set a threshold values, each point in the traversing graph picture, if this gray-scale value greater than threshold value, then the gray-scale value that will put changes 255 into, otherwise gray-scale value is 0;
D carries out the step-by-step xor operation with an image after the binaryzation and a parafacies with big or small complete black image, is the white portion blackening of image, black region bleaches, computing formula: r (i)=255-c (i), and i is the sequence number of picture point, r (i) is new gray-scale value, and c (i) is former gray-scale value;
E searches profile on image, draw all profiles and use ellipse fitting, and travel through all profiles: profile is made up of point set, and a single point concentrates counting of comprising just to ignore less than 6;
F judges that profile is BGA border or empty border, and forms BGA formation and empty formation;
G judges whether empty ratio satisfies the standard of setting in the BGA;
H is according to cavity and the BGA type testing result of drawing on former figure.
2. BGA detection method according to claim 1 is characterized in that: described step f is further comprising the steps of:
1) if profile is the cavity, enters empty formation; If BGA, compare with the BGA profile in the BGA formation, distinguish normal BGA, be not the BGA of BGA and coincidence that its differentiating method is:
If wide and high ratio＞1.3 of this BGA profile or＜0.7, or the center of this BGA profile is in existing the BGA profile, but radius has perhaps existed BGA profile center in this BGA profile less than there being BGA profile radius, but radius then is not the BGA profile less than this BGA profile radius;
If the center of this BGA profile is in existing the BGA profile, and radius is greater than there being BGA profile radius, perhaps existed BGA profile center in this BGA profile, and radius upgrade this BGA profile to enter the BGA formation greater than the BGA profile for overlapping of this BGA profile radius;
Otherwise be normal BGA profile, add the BGA formation;
2) judge profile in the empty formation belongs to which BGA in the BGA formation, travels through the profile in the empty formation, judge the profile center whether in BGA profile scope, if "Yes" then set up attaching relation.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106770333A (en) * | 2017-02-20 | 2017-05-31 | 重庆邮电大学 | A kind of BGA defects automatic testing method |
| CN107480662A (en) * | 2017-10-11 | 2017-12-15 | 青岛华晶生物技术有限公司 | A kind of mould image-recognizing method and its device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101266135A (en) * | 2008-05-08 | 2008-09-17 | 南昌航空大学 | Circuit board etching edge detection and etching factor measurement method |
| CN101793843A (en) * | 2010-03-12 | 2010-08-04 | 华东理工大学 | Connection table based automatic optical detection algorithm of printed circuit board |
-
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101266135A (en) * | 2008-05-08 | 2008-09-17 | 南昌航空大学 | Circuit board etching edge detection and etching factor measurement method |
| CN101793843A (en) * | 2010-03-12 | 2010-08-04 | 华东理工大学 | Connection table based automatic optical detection algorithm of printed circuit board |
Non-Patent Citations (2)
| Title |
|---|
| 马吉权等: "基于X射线的焊点图像预处理方法及应用", 《哈尔滨工业大学学报》 * |
| 高德云等: "BGA焊球形状参数测试及分析", 《电子元件与材料》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106770333A (en) * | 2017-02-20 | 2017-05-31 | 重庆邮电大学 | A kind of BGA defects automatic testing method |
| CN106770333B (en) * | 2017-02-20 | 2020-08-04 | 重庆邮电大学 | BGA defect automatic detection method |
| CN107480662A (en) * | 2017-10-11 | 2017-12-15 | 青岛华晶生物技术有限公司 | A kind of mould image-recognizing method and its device |
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