Method for determining defect of plating omission of continuous strip-shaped porous metal material
A technology of porous metal and judging method, which is applied in the fields of optical testing flaws/defects, image data processing, instruments, etc., can solve the problems of incompatibility of continuous production, poor accuracy and high cost, achieve high accuracy and improve quality and the yield rate, the effect of reducing production costs
Active Publication Date: 2016-06-22
先进储能材料国家工程研究中心有限责任公司
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This method has low efficiency, poor accuracy, high cost, and relies heavily on the experience of the operator, which is not suitable for continuous production
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Embodiment 1
[0020] A method for judging missing plating defects of continuous strip-shaped porous metal nickel materials, at first training a classifier according to the following steps:
[0021] (1) Adopting a VieworksVH-4M high-definition camera with a resolution of 2448×2056, under the same light, vertically shoot images of strip-shaped porous nickel products with a size of 95PPI, a surface density of 350 grams / square meter, and a thickness of 1.0mm. Select from the images taken 900 normal product images and 350 product images containing missing plating defects, the size of the selected images is 1024×1024 pixels, all input into the computer equipment;
[0022] (II) In the computer equipment, calculate the gray mean value, variance, homogeneity value and 45 ° and 135 ° moments of inertia of each image in two directions, a total of 5 eigenvalues; the homogeneity value is calculated by formula (1) get:
[0023] H ( d ...
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The invention provides a method for determining the defect of plating omission of a continuous strip-shaped porous metal material. The method includes the steps of training a classifier, testing and outputting a result. During training of the classifier, gray level mean values, variances, homogenous values and moments of inertia in two directions of 45 degrees and 135 degrees of images of a normal product and a product with the defect of plating omission are calculated, the abovementioned values of the normal image are used as positive sample characteristic vectors, the abovementioned values of the image of the product with the defect of plating omission are used as negative sample characteristic vectors to be input to an SVM classifier to be trained, after training is completed, a product to be tested is taken to extract a gray level mean value, variance, homogeneous value and moment of inertia in the two directions of 45 degrees and 135 degrees to from test characteristic vectors to be input to the SVM classifier to be detected, and a detection result is output. The method provided by the invention can automatically judge the defect of plating omission of the porous metal material on line, is high in accuracy, and can realize nondestructive automatic detection of the product during production.
Description
technical field [0001] The invention relates to a method for judging defects of porous metal materials, in particular to a method for judging missing plating defects of continuous strip-shaped porous metal materials. Background technique [0002] Porous metal material is a new type of metal matrix composite material with integrated structure and function consisting of a metal matrix and a large number of pores. It has unique advantages due to its low density and large specific surface area, and has been widely used in high-tech fields. However, in the continuous industrial production process, the missing plating defect (that is, unplated metal) of the product seriously affects the quality of the product. At present, the general method for judging the presence of such defects in materials is to use artificial visual inspection under sufficient light conditions. This method has low efficiency, poor accuracy, high cost, and relies heavily on the experience of operators, which...
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IPC IPC(8): G06T7/00G06T7/40G01N21/95
CPCG01N21/95G06T7/0008G06T2207/30136
Inventor赵于前郭宽钟发平
Owner先进储能材料国家工程研究中心有限责任公司