计算机技术与发展
計算機技術與髮展
계산궤기술여발전
COMPUTER TECHNOLOGY AND DEVELOPMENT
2014年
5期
243-247
,共5页
唐国维%巩淼%张方舟%李想%严胡勇
唐國維%鞏淼%張方舟%李想%嚴鬍勇
당국유%공묘%장방주%리상%엄호용
焊缝缺陷%图像处理%模糊%缺陷选取%神经网络
銲縫缺陷%圖像處理%模糊%缺陷選取%神經網絡
한봉결함%도상처리%모호%결함선취%신경망락
weld defect%image processing%fuzzy%defects selection%neural network
焊缝缺陷在X射线设备下成像转成数字图像后,分析其图像的特点,进行缺陷的定位与边缘检测,结合人工识别焊缝缺陷的经验选取对焊缝缺陷分类影响因子较大的特征参数。用模糊集合的概念描述特征参数,建立特征参数的模糊规则库,构建以模糊化后的特征参数为输入层,以模糊规则为隐含层,缺陷预知识别分类为输出的模糊神经网络模型。分析实验结果,成功定位缺陷在数字图像中的大概位置与边缘检测。该方法提高了集合交叉较大的焊缝缺陷的识别率,能有效地对缺陷进行识别分类。
銲縫缺陷在X射線設備下成像轉成數字圖像後,分析其圖像的特點,進行缺陷的定位與邊緣檢測,結閤人工識彆銲縫缺陷的經驗選取對銲縫缺陷分類影響因子較大的特徵參數。用模糊集閤的概唸描述特徵參數,建立特徵參數的模糊規則庫,構建以模糊化後的特徵參數為輸入層,以模糊規則為隱含層,缺陷預知識彆分類為輸齣的模糊神經網絡模型。分析實驗結果,成功定位缺陷在數字圖像中的大概位置與邊緣檢測。該方法提高瞭集閤交扠較大的銲縫缺陷的識彆率,能有效地對缺陷進行識彆分類。
한봉결함재X사선설비하성상전성수자도상후,분석기도상적특점,진행결함적정위여변연검측,결합인공식별한봉결함적경험선취대한봉결함분류영향인자교대적특정삼수。용모호집합적개념묘술특정삼수,건립특정삼수적모호규칙고,구건이모호화후적특정삼수위수입층,이모호규칙위은함층,결함예지식별분류위수출적모호신경망락모형。분석실험결과,성공정위결함재수자도상중적대개위치여변연검측。해방법제고료집합교차교대적한봉결함적식별솔,능유효지대결함진행식별분류。
After weld defection is converted to digital images under the X-ray equipment,analyze the characteristics of the images for lo-cating defects and detecting edges,select the characteristic parameters,which have larger impact on weld defect classification combined with the experience of artificial identification. Describe the characteristic parameters in the concept of fuzzy set,and establish the fuzzy rule base of characteristic parameters,building the fuzzy neural network model with the fuzzy characteristic parameters as the input layer, and fuzzy rules as the implied layer,and the identification and classification of defecting prediction as output. Analysis of test results show it can successfully locate the defects about position and edge detection in digital images. The method improves the recognition rate of the larger crossed set of weld defection,which can identify the classification effectively.