Abstract: Methods, systems, and computer-readable storage media for a defect detection system that generates synthetic defect data that is representative of real-world defects in products. The synthetic defect data is included in training data for training a defect detection model. The defect detection model is deployed to a production environment to detect defects in products.

Abstract: A hierarchical porous polymeric material and its preparation method in the field of porous polymeric materials provided. The preparation method comprises: (1) mixing hydrophobic silica particles, an initiator, a polymerizable monomer, a crosslinking agent, a co-crosslinking agent and a pore-forming agent together, uniformly stirring to obtain a reaction mixture; (2) adding water into the reaction mixture and stirring until a gel emulsion is formed; and (3) carrying out staged thermal polymerization on the gel emulsion to obtain the hierarchical porous polymeric material. The present application can effectively regulate and control the contents and sizes of pores and throats, and obtain a material with hierarchical micro-porous structures. The good heat transfer and zero explosion in the polymerization process enable high product qualification rate. The wet material has rich pores, small resistance in mass transfer process and fast drying rate.

Abstract: The present invention belongs to the field of image processing, and particularly relates to the determination of an aerial remote sensing image fuzzy parameter and the elimination of aerial remote sensing image fuzziness based on a TDI-CCD camera. The method comprises the following specific steps: establishing an image coordinate system, reading an area array image, constructing a similarity matching criterion, conducting offset resolving to acquire homonymy points so as to obtain a digital image reducing the chattering influence. The method is relatively simple and precise in computing process, and good in processing effect.

Abstract: The present invention belongs to the field of image processing, and particularly relates to the determination of an aerial remote sensing image fuzzy parameter and the elimination of aerial remote sensing image fuzziness based on a TDI-CCD camera. The method comprises the following specific steps: establishing an image coordinate system, reading an area array image, constructing a similarity matching criterion, conducting offset resolving to acquire homonymy points so as to obtain a digital image reducing the chattering influence. The method is relatively simple and precise in computing process, and good in processing effect.