Abstract: A method for restoring video data of a pipe based on computer vision is provided. The method includes: performing gray stretching on pipe image/video collected by a pipe robot; processing noise interference by smoothing filtering; extracting an iron chain from the center of a video image as a template for location; performing target recognition on the center of video data by an SIFT corner detection algorithm; detecting ropes on left and right sides of a target by Hough transform; performing gray covering on the iron chain at the center of the video image and the ropes on two sides; and restoring data by an FMM image restoration algorithm.

Abstract: A method for restoring video data of a pipe based on computer vision is provided, including: performing gray stretching on pipe image/video collected by a pipe robot; processing noise interference by smoothing filtering; extracting an iron chain from the center of a video image as a template for location; performing target recognition on the center of video data by an SIFT corner detection algorithm; detecting ropes on left and right sides of a target by Hough transform; performing gray covering on the iron chain at the center of the video image and the ropes on two sides; and restoring data by an FMM image restoration algorithm.

Abstract: A method for improving voice or video transmission quality in the cloud computing mode includes performing, by a cloud client, media negotiation with a communication peer end according to obtained media negotiation information of a corresponding local client; and establishing, according to a result of the media negotiation, a media channel between the local client and the communication peer end to perform voice or video transmission. An embodiment of the present invention further provides a corresponding cloud client and a corresponding local client. According to the method disclosed in the embodiments of the present invention, two client ends work collaboratively and a media channel is established on the local client, thereby ensuring voice or video transmission quality in the cloud computing mode.