Abstract: A laparoscopic image smoke removal method based on a generative adversarial network, and belongs to the technical field of computer vision. The method includes: processing a laparoscopic image sample to be processed using a smoke mask segmentation network to acquire a smoke mask image; inputting the laparoscopic image sample to be processed and the smoke mask image into a smoke removal network, and extracting features of the laparoscopic image sample to be processed using a multi-level smoke feature extractor to acquire a light smoke feature vector and a heavy smoke feature vector; and acquiring, according to the light smoke feature vector, the heavy smoke feature vector and the smoke mask image, a smoke-free laparoscopic image by filtering out smoke information and maintaining a laparoscopic image by using a mask shielding effect. The method has the technical effects of robustness and ability of being embedded into a laparoscopic device for use.

Abstract: The present invention relates to a process for preparation of polyolefin/inorganic component nanocomposite by in-situ polymerization, in which, a clay is first organically modified and then silica or titanium dioxide nanometer particles are incorporated into the layers of crystal sheets of the clay by sol-gel method. And a metallocene catalyst is then loaded on the above-mentioned material and a finished catalyst is obtained. The said catalyst is used for in-situ polymerization of ethylene or propylene, and polyolefin/clay nanocomposite is finally obtained. The process for preparation of the catalyst according to the present invention is simple, and the mechanical properties of the nanocomposite are high. For example, the Young's modulus and the tensile strength thereof are in the ranges of 700-2600 Mpa, and 20-55 MPa respectively.

Abstract: The present invention relates to a process for preparation of polyolefin/inorganic component nanocomposite by in-situ polymerization, in which, a clay is first organically modified and then silica or titanium dioxide nanometer particles are incorporated into the layers of crystal sheets of the clay by sol-gel method. And a metallocene catalyst is then loaded on the above-mentioned material and a finished catalyst is obtained. The said catalyst is used for in-situ polymerization of ethylene or propylene, and polyolefin/clay nanocomposite is finally obtained. The process for preparation of the catalyst according to the present invention is simple, and the mechanical properties of the nanocomposite are high. For example, the Young's modulus and the tensile strength thereof are in the ranges of 700-2600 Mpa, and 20-55 MPa respectively.