CN101413899A - Method for processing metallic phase image information - Google Patents
Method for processing metallic phase image information Download PDFInfo
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- CN101413899A CN101413899A CNA2008102194947A CN200810219494A CN101413899A CN 101413899 A CN101413899 A CN 101413899A CN A2008102194947 A CNA2008102194947 A CN A2008102194947A CN 200810219494 A CN200810219494 A CN 200810219494A CN 101413899 A CN101413899 A CN 101413899A
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Abstract
The invention discloses a method used for processing metallographic image information, comprising the concrete steps as follows: 1) the metallographic sample to be measured is arranged on the object stage of a metalloscope; the metallographic image is comprehensively collected on measurement surface by a CCD imaging head; 2) the image information is transmitted to a computer so as to be marked and memorized; 3) the distance between an objective lens and the metallographic sample to be measured is adjusted so as to gain a group of images which are fused by wavelet algorithm, thus obtaining a clear image; the fused image is spatially transformed, thus obtaining a plane image and a recovered three-dimensional image; 4) the plane image and the recovered three-dimensional image are memorized in an appointed folder. As the image fusing technology is adopted, the image with clear layers is processed so as to have no special requirements on the smoothness of the surface of the identified object; therefore, the system has wider application field and scope.
Description
Technical field
The present invention relates to the metallography microscope technology, be specifically related to a kind of disposal route that is used to handle metallurgical microscopic image.
Background technology
Metaloscope is a kind of instrument that is used for opaque article is carried out microexamination, is exclusively used in metallographic and detects, checks the surfaceness of part and check complicated chip circuit etc.The image processing method that is used for metaloscope is progressively improved by the development of electronics process industry in recent years, these systems can better solve the portioned product quality discrimination problem in the current electronics manufacturing production, but the request for utilization of these systems differentiates that object surface is smoother, cross when low when differentiating the object surface smoothness, the picture that is collected is unintelligible, the quality that influence is differentiated under the situation that high power is amplified, at its deficiency, common solution is to polish again, but require quite high to operating personnel like this, and polishing sometimes repeatedly all differs and reaches desirable effect surely, has had a strong impact on work efficiency.
Summary of the invention
The present invention is directed to above-mentioned existing in prior technology disappearance, purpose is to provide a kind of metallurgical microscopic image disposal route, directly the low excessively sample of treatment surface smoothness.
The present invention is realized by following technical proposal: a kind of disposal route of metallic phase image information, this method realizes by metaloscope, the change-over circuit that is provided with a CCD imaging head in three heads of described metaloscope and optical information is converted to digital image information and output, the metaloscope base is provided with the output interface that is used to export described digital image information, one computing machine and display, described computing machine is connected with described output interface, key is that described method specifically comprises the steps:
1), metallographic sample to be measured is placed on the objective table of metaloscope, utilize the CCD imaging head to gather to carrying out metallic phase image on to be measured comprehensively;
2), image information is transferred to computing machine go forward side by side line identifier, storage;
3), regulate the distance between object lens and the metallographic sample to be measured, obtain the set of diagrams picture, the employing wavelet algorithm, above-mentioned figure is merged, obtain a picture rich in detail, the image after this fusion is carried out spatial alternation handle, can obtain the 3-D view of plane picture and recovery;
4), the 3-D view with above-mentioned plane picture and recovery stores specified folder into.
When described step 1) is carried out images acquired to metallic phase image, algorithm process is carried out in aspects such as the contrast in the image, brightness, be transferred to the focal length indicator, regulate the fine motion handwheel and the coarse motion handwheel of metaloscope, when focal length indicator numerical value reaches maximal value, can determine that focusing accurately.
Described step 4) is specially: drawing, editor, measurement, mark, Flame Image Process, Boundary Recognition, report generation, be connected with AUTO CAD.
Specifically comprise following graphical element in the described drawing step: straight line, parallel lines, vertical line, two-point drawing circle, make arc, draw polygon, draw rectangle, draw oval, fillet; When drawing, the parameter of drawn object under the system log (SYSLOG).
Specifically comprise following content of edit in the described edit step: duplicate, paste, shear, delete, extend, move, modification, rotation, UNDO, REDO, insertion literal, object is selected, the zone is selected, all selected, alignment.
Described measurement specifically comprises with mark: 2 distances, some linear distance, line linear distance, radius of circle, circular diameter, two wire clamp angles, radian, two circle eccentric angles, two circle distance of center circle.
Described Flame Image Process specifically comprises: statistics with histogram, color adjustment, reduce color, gray-scale map, artwork master, 24 bitmaps, color compensating, edge sharpening, filtering, Z-Correct bump mapping Z-correct, lens, water wave, rotation, scaling and duplicate, paste, shearing, deletion, UNDO and REDO.
The present invention has following advantage: owing to adopted image fusion technology, the layering distinct image is handled, making does not have too big requirement to the smoothness of differentiating object surface, so native system has wider application and scope.
Embodiment
The present invention is further detailed explanation introduces below in conjunction with embodiment:
A kind of disposal route of metallic phase image information, this method realizes by metaloscope, the change-over circuit that is provided with a CCD imaging head in three heads of described metaloscope and optical information is converted to digital image information and output, the metaloscope base is provided with the output interface that is used to export described digital image information, one computing machine and display, described computing machine is connected with described output interface, disposal route specifically comprises the steps: 1), metallographic sample to be measured is placed on the objective table of metaloscope, utilize the CCD imaging head to gather comprehensively carrying out metallic phase image on to be measured; 2), image information is transferred to computing machine go forward side by side line identifier, storage; 3), regulate the distance between object lens and the metallographic sample to be measured, obtain the set of diagrams picture, the employing wavelet algorithm, above-mentioned figure is merged, obtain a picture rich in detail, the image after this fusion is carried out spatial alternation handle, can obtain the 3-D view of plane picture and recovery; 4), the 3-D view with above-mentioned plane picture and recovery stores specified folder into.
When described step 1) is carried out images acquired to metallic phase image, algorithm process is carried out in aspects such as the contrast in the image, brightness, be transferred to the focal length indicator, regulate the fine motion handwheel and the coarse motion handwheel of metaloscope, when focal length indicator numerical value reaches maximal value, can determine that focusing accurately.
Be specially: drawing, editor, measurement, mark, Flame Image Process, Boundary Recognition, report generation, be connected with AUTO CAD.Wherein, drawing comprises: straight line, parallel lines, vertical line, two-point drawing circle, make arc, draw polygon, draw rectangle, draw oval, fillet.When drawing, note the parameter of drawn object, we are except can be by dragging mouse draws when drawing, can also generate an accurate figure by input parameter, the pel that generates after drawing, acquiescence does not show mark, need can select the pel of mark, shows mark automatically by button or right-click menu.Can finely tune the position of mouse when drawing by keyboard; Editor comprises: duplicate, paste, shear, delete, extend, move, modification, rotation, UNDO, REDO, insertion literal, object is selected, the zone is selected, all selected, alignment etc.; Measure with mark and comprise: 2 distances, some linear distance, line linear distance, radius of circle, circular diameter, two wire clamp angles, radian, two circle eccentric angles, two circle distance of center circle etc., the precision of measurement is relevant with the microscope amplification multiple; Flame Image Process comprises: statistics with histogram, color adjustment, reduce color, gray-scale map, artwork master, 24 bitmaps, color compensating, edge sharpening, filtering, Z-Correct bump mapping Z-correct, lens, water wave, rotation, scaling and duplicate, paste, shearing, deletion, UNDO and REDO etc.; Image co-registration comprises: can import image from microscope or file or case library, system's image co-registration of same target is obtained a width of cloth distinct image, do measurement, mark, editor and image analysis processing and surface configuration reproduction etc. then.
Image co-registration is meant the certain Flame Image Process of image process about same target that the multi-source channel is collected, and extracts the information of each self-channel, and the same image of last comprehensive one-tenth is for observing or further the processing.The image interfusion method information of overall treatment multi-source passage as required efficiently, thus the utilization factor, system of image information automaticity improved effectively to target detection identification ground reliability and system.Its objective is the multiband information of single-sensor or information that the inhomogeneity sensor provided comprehensive in addition, eliminate the redundancy and the contradiction that may exist between the multi-sensor information, to strengthen transparency information in the image, improve precision, reliability and the utilization rate of decipher, to form clear, complete, information description accurately to target.
Owing to adopted image fusion technology, the layering distinct image is handled, make not too big requirement of smoothness, adopt image fusion technology and metallographic surface three dimension form reproducing technology to make the image that is obtained more can accurately represent the true condition of destination object so that measure and differentiate more accurately and reliably differentiating Object table.Even amplify simultaneously up to also target not being had too much requirement to the smoothness on surface under thousand times the state, so native system has wider application and scope.Image fusion technology can extract effective information to serial different piece distinct image and be fused into the three-dimensional picture rich in detail of a width of cloth, makes that the condition that is subjected to the object of observation is easier to differentiate.
Native system and method adopt wavelet algorithm, and aspect time complexity, done to optimize and improved, and the image texture features that adopts statistical analysis method to extract, the more problem that has solved the extraction of image three-dimensional spatial information.
Above-described only is preferred implementation of the present invention, should be pointed out that for the person of ordinary skill of the art, under the prerequisite that does not break away from the invention design, can also make some distortion and improvement, and these all belong to protection scope of the present invention.
Claims (7)
1, a kind of disposal route of metallic phase image information, this method realizes by metaloscope, the change-over circuit that is provided with a CCD imaging head in three heads of described metaloscope and optical information is converted to digital image information and output, the metaloscope base is provided with the output interface that is used to export described digital image information, one computing machine and display, described computing machine is connected with described output interface, it is characterized in that, described method specifically comprises the steps:
1), metallographic sample to be measured is placed on the objective table of metaloscope, utilize the CCD imaging head to gather to carrying out metallic phase image on to be measured comprehensively;
2), image information is transferred to computing machine go forward side by side line identifier, storage;
3), regulate the distance between object lens and the metallographic sample to be measured, obtain the set of diagrams picture, the employing wavelet algorithm, above-mentioned figure is merged, obtain a picture rich in detail, the image after this fusion is carried out spatial alternation handle, can obtain the 3-D view of plane picture and recovery;
4), the 3-D view with above-mentioned plane picture and recovery stores specified folder into.
2, according to the disposal route of the described metallic phase image information of claim 1, it is characterized in that, when described step 1) is carried out images acquired to metallic phase image, algorithm process is carried out in aspects such as the contrast in the image, brightness, be transferred to the focal length indicator, regulate the fine motion handwheel and the coarse motion handwheel of metaloscope, when focal length indicator numerical value reaches maximal value, can determine that focusing accurately.
3, according to the disposal route of the described metallic phase image information of claim 1, it is characterized in that, in described step 4), can further include following steps: drawing, editor, measurement, mark, Flame Image Process, Boundary Recognition, report generation, be connected with AUTO CAD.
4, according to the disposal route of the described metallic phase image information of claim 3, it is characterized in that, comprise following graphical element in the described drawing step: straight line, parallel lines, vertical line, two-point drawing circle, make arc, draw polygon, draw rectangle, draw oval, fillet; When drawing, the parameter of drawn object under the system log (SYSLOG).
5, according to the disposal route of the described metallic phase image information of claim 3, it is characterized in that, comprise following content of edit in the described edit step: duplicate, paste, shear, delete, extend, move, modification, rotation, UNDO, REDO, insertion literal, object is selected, the zone is selected, all selected, alignment.
6, according to the disposal route of the described metallic phase image information of claim 3, it is characterized in that described measurement and mark comprise: 2 distances, some linear distance, line linear distance, radius of circle, circular diameter, two wire clamp angles, radians, two are justified eccentric angles, two circle distance of center circle.
7, according to the disposal route of the described metallic phase image information of claim 3, it is characterized in that described Flame Image Process comprises: statistics with histogram, color adjustment, reduce color, gray-scale map, artwork master, 24 bitmaps, color compensating, edge sharpening, filtering, Z-Correct bump mapping Z-correct, lens, water wave, rotation, scaling and duplicate, paste, shearing, deletion, UNDO and REDO.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN108317990A (en) * | 2017-01-16 | 2018-07-24 | 郑州宇通客车股份有限公司 | Belt compactness detection method and detection device |
CN110470233A (en) * | 2019-08-02 | 2019-11-19 | 中船动力有限公司 | Diesel injector spray-hole Pore Diameter Detection tooling and detection method |
CN111798658A (en) * | 2019-11-08 | 2020-10-20 | 方勤 | Traffic lane passing efficiency detection platform |
CN115038965A (en) * | 2020-01-29 | 2022-09-09 | 杰富意钢铁株式会社 | Method for classifying phase of metallographic structure, apparatus for classifying phase of metallographic structure, method for learning phase of metallographic structure, apparatus for learning phase of metallographic structure, method for predicting material characteristics of metal material, and apparatus for predicting material characteristics of metal material |
CN115078049A (en) * | 2022-08-19 | 2022-09-20 | 深圳市聚鑫视科技有限公司 | Automatic sample preparation and grinding method and system for metallographic sample |
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2008
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108317990A (en) * | 2017-01-16 | 2018-07-24 | 郑州宇通客车股份有限公司 | Belt compactness detection method and detection device |
CN108317990B (en) * | 2017-01-16 | 2024-02-27 | 宇通客车股份有限公司 | Belt fitting degree detection method and detection device |
CN110470233A (en) * | 2019-08-02 | 2019-11-19 | 中船动力有限公司 | Diesel injector spray-hole Pore Diameter Detection tooling and detection method |
CN111798658A (en) * | 2019-11-08 | 2020-10-20 | 方勤 | Traffic lane passing efficiency detection platform |
CN115038965A (en) * | 2020-01-29 | 2022-09-09 | 杰富意钢铁株式会社 | Method for classifying phase of metallographic structure, apparatus for classifying phase of metallographic structure, method for learning phase of metallographic structure, apparatus for learning phase of metallographic structure, method for predicting material characteristics of metal material, and apparatus for predicting material characteristics of metal material |
CN115078049A (en) * | 2022-08-19 | 2022-09-20 | 深圳市聚鑫视科技有限公司 | Automatic sample preparation and grinding method and system for metallographic sample |
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