复小波域影致留形及金属铣削表面质量评估

针对机械加工产品质量原位评估问题，提出一种数字图像为媒介的在线检测方法。通过数码相机对加工表面进行近场拍摄成像，获得影像在16位灰度空间上的映射。引入加工表面连续性约束构造辐照方程的正则化问题并求解，从灰度信息中恢复加工表面的三维模型。采用双数复小波变换对三维重构模型进行后处理降噪，计算加工表面的粗糙度评价指标。通过航空铝合金端面铣实验并应用提出方法进行分析，与离线接触式测量的结果进行对比，验证了该方法具有高精度重构效果，可有效的应用于在线金属铣削过程状态监测与加工质量评估。

Complex valued wavelet enhanced shape from shading and metal milling surface quality assessment

In order to address the problems of online machining in situ product quality evaluation, an online detecting method taking digital image as the monitoring vehicle is put forward. 16 bits image is acquired by photographing for the metal milling surface. The brightness equation regularization problem considering the continuous restriction of the machined surface is obtained to recover the three dimension surface. The dual tree complex wavelet transform is also applied to denoise the reconstruction surfaces. A face milling case of aerial aluminum alloy 7075 is investigated to verify the effectiveness of the proposed methodology. The result of the proposed method is compared with that of off line roughness measuring instrument. It is demonstrated that the roughness indicators derived from the proposed method are consistent with those of the offline instrument. The comparison results indicates that the non contact method is effective for the online metal milling condition monitoring and machining quality assessment.