本文關(guān)鍵詞： 視覺檢測 成像 圖像分割 圖像增強(qiáng)　出處：《微型機(jī)與應(yīng)用》2017年21期 　論文類型：期刊論文

【摘要】：壓電陶瓷片在生產(chǎn)加工過程中表面會出現(xiàn)空洞、斑點(diǎn)和劃傷缺陷,使其壓電性、介電性等性能劣化,影響產(chǎn)品質(zhì)量。目前對壓電陶瓷片表面缺陷檢測還停留在人工目測的階段,精度達(dá)不到要求,易出現(xiàn)漏檢的現(xiàn)象,效率低下。結(jié)合壓電陶瓷片本身及其待測缺陷的特征,提出一種基于視覺檢測技術(shù)實(shí)現(xiàn)壓電陶瓷片表面缺陷檢測的方法。將壓電陶瓷片放置在二維移動平臺上,配合線陣相機(jī)進(jìn)行多張圖像采集,獲取完整的壓電陶瓷片信息,通過所設(shè)計(jì)的圖像處理算法進(jìn)行缺陷提取與質(zhì)量判斷,最終完成產(chǎn)品樣機(jī)的研制。
[Abstract]:Voids, spots and scratches will appear on the surface of piezoelectric ceramic chips in the process of production and processing, which will make their piezoelectric and dielectric properties worse and affect the quality of the products. At present, the detection of surface defects of piezoelectric ceramic plates is still in the stage of manual visual measurement. The precision is not up to the requirement, the phenomenon of missing detection is easy to appear, and the efficiency is low. Combined with the characteristics of the piezoelectric ceramic chip itself and the defects to be tested, This paper presents a method to detect the surface defects of piezoelectric ceramic based on visual detection technology. The piezoelectric ceramic chip is placed on the two-dimensional moving platform, and the image is collected with linear camera to obtain the complete information of the piezoelectric ceramic chip. Through the design of image processing algorithm for defect extraction and quality judgment, the final product prototype development.
【作者單位】： 沈陽工業(yè)大學(xué)視覺檢測技術(shù)研究所;
【分類號】：TP391.41;TQ174.12
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本文編號：1548058