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pcbjiance
- 待检测pcb板和标准pcb对比,然后对待测pcb腐蚀及膨胀处理,进行缺陷标注显示图像并输出焊盘缺失数,导线缺失数,短路数等。所以源图像均有,并再次测试无误,可以直接运行。-To be detected and the standard pcb board pcb contrast, then treat corrosion test pcb and the expansion process, defect labeling displays images and outputs missing
guandaolouci
- 管道漏磁内检测,人工智能识别缺陷,缺陷的具体外形参数-Pipeline magnetic flux leakage detection, artificial intelligence to identify defects, defects of the specific shape parameters
Intelligent-recognition-technology-
- 管道缺陷漏磁检测智能识别技术,利用神经网络进行智能识别-Intelligent identification technology for magnetic flux leakage inspection of pipeline defects
lwjc
- 实现裂纹分割检测,使用滤波,阈值分割,检测点缺陷,线缺陷-Realize the segmentation of crack detection, the use of filter, threshold segmentation, the testing point defect and line defect
ScanSeries
- 超声检测信号转换为图像方便用户更加直观的看到被检对象的缺陷(Ultrasonic imaging program)
opencv-master
- 太阳能EL缺陷自动检测,暗片,裂纹,虚焊(Automatic detection of solar EL defects)
划痕判断标注小面积去除17031501
- 检测小型金属零件表面划痕,判断非缺陷部分并给予去除(Detecting the scratches on the surface of small metal parts, judging the non - defective parts and giving off)
TFM_FMC
- 超声相控阵的TFM全聚焦算法。全聚焦成像技术(TFM)通过特殊的的数据采集方法与成像技术能对缺陷进行非常精确的成像。使得超声检测在缺陷定量及定性上更加的准确。全聚焦技术采用了全矩阵捕捉法(FMC)对检测区域进行数据采集。(TFM full focus algorithm of ultrasonic phased array)
K_SVD和OMP算法在超声信号去噪中的应用
- 针对在线采集时超声波检测信号中存在大量噪声,降低了材料内部缺陷诊断准确性的问题,提出了一种基于广义K-奇异值分解算法(K-SVD)和正交匹配追踪算法(OMP)相结合的超声回波信号去噪算法。