University of Electronic Science and Technology of China

Gen Qiu

Yuhua Cheng

Kai Chen

Chun Yin

Xuegang Huang

Xiao Yang

Xutong Tan

Zhibo Li

Aolin Yang

Jianhao Luo

Yinze Wang

Junjie Liu

Zeqi Wang

A method for high-precision true color three dimensional reconstruction of mechanical component. Firstly performs image acquisition: the left and right high-resolution grayscale cameras are fixed at same height and spaced at certain distance, an optical transmitter fixed between the two grayscale cameras, and low-resolution color camera fixed above optical transmitter, thus images of measured high-precision mechanical component are shot. Then performs image processing: all images are transmitted to a computer, which uses image processing to record surface information of measured high-precision mechanical component in the point cloud by high-precision true color three-dimensional reconstruction, which reflects color texture information of the surface, so as to realize the non-contact high-precision true color three dimensional reconstruction of high-precision mechanical component. The method uses binocular high-precision grayscale cameras instead of binocular color cameras, which broadens the range of capture wavelengths, retains richer texture details of high-precision mechanical component and improves accuracy of measurement.

Method for high-precision true color three-dimensional reconstruction of a mechanical component

The present invention provides a method for quantitatively identifying the defects of large-size composite material based on infrared image sequence, firstly obtaining the overlap area of an infrared splicing image, and dividing the infrared splicing image into three parts according to overlap area: overlap area, reference image area and registration image area, then extracting the defect areas from the infrared splicing image to obtain P defect areas, then obtaining the conversion coordinates of pixels of defect areas according to the three parts of the infrared splicing image, and further obtaining the transient thermal response curves of centroid coordinate and edge point coordinates, finding out the thermal diffusion points from the edge points of defect areas according to a created weight sequence and dynamic distance threshold &#x3b5;&#xd7;d, finally, based on the thermal diffusion points, the accurate identification of quantitative size of defects are completed.

Method for quantitatively identifying the defects of large-size composite material based on infrared image sequence

Growing community of inventors

Chengdu, China

Gen Qiu