Abstract: A random transient power test signal generator based on three-dimensional memristive discrete map, which utilizes a three-dimensional parallel bi-memristor Logistic map module to generate two pseudo-random sequences, and based on the sequences, uses two waveform output modules to generate transient voltage and transient current signals respectively, thus the random transient power testing signal is obtained. The map can significantly improve the complexity of chaos and greatly extend its range of chaos. In addition, a performance evaluation shows the map has more robust hyperchaotic behavior in much larger chaos range. Moreover, the random sequences generated by the map module combines with DDS, which can generate a transient power signal with completely random period, starting phase and ending phase.

Abstract: The present disclosure provides an image processing method, apparatus, and device, and a storage medium. The method includes determining, in response to receiving a preset identification operation triggered for a capturing frame on a capturing page, a target image having image clarity meeting a preset clarity condition based on the capturing frame on the capturing page. Then, the target image is transmitted to an image identification server for image identifying. Thus, the image processing method provided in the embodiments of the present disclosure can determine a target image having image clarity meeting a preset clarity condition first before image identification and allow an image identification server to perform identification based on the target image which meets the preset clarity condition, thereby the accuracy of image identification can be improved.

Abstract: 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.

Abstract: 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 ?ttr×dp_max, finally, based on the thermal diffusion points, the accurate identification of quantitative size of defects are completed.

Abstract: 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.

Abstract: 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 ?ttr×dp_max, finally, based on the thermal diffusion points, the accurate identification of quantitative size of defects are completed.