3results about How to "Good texture" patented technology

The application discloses a dietary fiber composition and a preparation method and application thereof, and relates to the field of food technology.The application provides a dietary fiber composition, which comprises the following components in parts by weight: 10-20 parts of inulin, 15-30 parts of polydextrose, 10-20 parts of galactooligosaccharide, 20-40 parts of isomaltooligosaccharide and 1-5 parts of citrus fiber.The application provides a dietary fiber composition, which is obtained by matching and combining dietary fibers with different viscosities, water-retention properties and gel properties, and has high dietary fiber content, good taste, good stability, high tolerance and the property of helping to improve the health of the gastrointestinal tract.

The application discloses a ceramic tile cloth powder control method and system, and relates to the technical field of ceramic tile production. The method comprises the following steps: acquiring ceramic tile pattern data required for current production; converting the ceramic tile pattern data into bitmap data, and performing pixel optimization on the bitmap data according to a preset pixel optimization rule to obtain bitmap data of a target resolution; performing partition processing on pixel points in the bitmap data to obtain pixel region data after partition; pairing the pixel region data with a preset cloth powder control database to obtain cloth powder control data of a discharging mechanism; and controlling the discharging mechanism to perform automatic discharging work according to the cloth powder control data, so that powder fills corresponding cloth regions, thereby forming a ceramic tile powder layer with a required pattern. The application can adapt to the production requirement of rapid switching of ceramic tile patterns, has high production efficiency, and the texture and color effect of the produced ceramic tiles are good.

The present invention discloses a method for fine classification of dense mangroves in complex landforms by using unmanned aerial vehicles, which relates to the field of image processing technology and comprises the following steps: S1, collecting unmanned aerial vehicle data of mangrove ecological areas; S2, preprocessing the unmanned aerial vehicle data to obtain multispectral raw data, panchromatic raw data and lidar raw data; S3, dividing the panchromatic raw data into sample sets; S4, processing the multispectral raw data, the lidar raw data and the output results of the sample label acquisition unit to obtain classification features; S5, processing the classification features to obtain an improved mangrove fine classification feature group; S6, processing the improved mangrove fine classification feature group. In the present invention, the texture features are further improved by changing the dimension reduction method of the image, and the multispectral features, lidar features and vegetation index are combined for target recognition at the same time, thereby improving the accuracy of fine classification of dense mangroves in complex landforms.