5 results about "RGB color model" patented technology

The invention provides an emergency decision-making method based on aviation neutron-gamma radiation data cloud picture and video fusion, which is mainly used for monitoring nuclear radiation conditions and providing reference for emergency decision-making under nuclear accidents, and main equipment is an aviation monitoring system carrying a navigation positioning subsystem, an imaging subsystem and a nuclear radiation monitoring subsystem. The method comprises the following steps: (1) a measurement method: the unmanned aerial vehicle flies to a nuclear radiation target area, a navigation positioning system is utilized to record parameters such as height and course, an imaging system is utilized to shoot the target area into a video image, and a nuclear radiation monitoring system is utilized to record measurement height, measurement time and neutron-gamma radiation intensity; and (2) a data processing method: performing high normalization processing on neutron-gamma nuclear radiation intensity data, and establishing a relationship between the radiation intensity data and chromaticity by using an RGB color mode. (3) a fusion method: extracting video pictures according to frames, determining a video frame extraction interval according to the flight height, the imaging shooting view angle and the flight speed, and extracting the video pictures; according to the shooting range of an imaging system, the extracted video picture and radiation monitoring data fusion colored tape is determined, pixel information in the colored tape is read and fused with RGB colors representing radiation intensity, video and aviation radiation data are combined, neutron-gamma nuclear radiation monitoring results are displayed more visually, and nuclear emergency decision making is supported.

The present application belongs to the technical field of wood cutting line detection, and provides a wood cutting line detection method based on mask coding, which comprises the following steps: collecting a color image of a tree trunk, performing binary mask processing on the collected color image by using prior knowledge of different colors in combination with an RGB color model; removing noise of the binary mask result by dividing a region of interest and using the area of a connected domain; finding the inner boundary of the region of interest based on the left and right pixel differences of edge pixel points; judging whether the tree trunk region penetrates the entire wood, and if so, outputting the cutting lines on both sides; otherwise, outputting the middle line of the tree trunk region, which greatly improves the precision and real-time performance of cutting line detection and effectively reduces the labor cost in the production process.

The present invention belongs to the technical field of boundary recognition, and specifically relates to a method for recognizing world country regions based on color recognition, including the following method steps: Step 1: Construct a schematic diagram of the world country map, including: coloring each country with different color values, where the color of each country is a different color value, but the RGB values are all equal. Coloring each country with different color values forms regions with different color values. The equality of RGB means that the color values of red, green, and blue in the RGB color model are equal, and the same color value is taken within the range of 0-255; Step 2: Organize the color values of the colored countries of different countries, construct a correspondence table between countries and their color values, and use colors with equal RGB to represent a country. At most 256 countries can be represented. Without separately drawing the boundaries of each world country, using a world country map and a national boundary line map, each selected country region can be recognized, and the recognition efficiency is higher.

The invention discloses a tunnel lining service performance index visualization method based on data interaction, and relates to the technical field of data visualization, and the method comprises the steps: obtaining geologic structure model parameters and lining structure design parameters, and generating a numerical calculation model; monitoring points are established in the numerical calculation model, internal force data of the structure are obtained, and analysis and extraction of key data streams in the calculation process are synchronously achieved by monitoring the operation state of the model in real time. And post-processing the internal force data of the structure, and establishing an initial visualization model through numerical gradient processing to obtain a mapping relation among the internal force, the safety coefficient and the graphical representation. Color gradient processing is carried out on the initial visualization model in combination with an RGB color model, a target visualization model is obtained, the target visualization model is used for visualizing the structural internal force data and the structural safety coefficient, structural internal force calculation precision and visual visualization of a calculation result are both considered, the analysis efficiency is improved, and meanwhile the analysis accuracy of the structural internal force is improved. And the problem of single visualization is also avoided.

This invention relates to a method and process for shale oil reservoir lithofacies classification based on RGB fusion of well logging information. The method uses the first derivative of the reflection coefficient curve to divide rock units. For each rock unit, lithological indices are calculated using the root mean square of natural gamma logging, sedimentary structural indices are calculated using the roughness of resistivity logging curves, and oil-bearing indices are calculated using the root mean square of resistivity curves. The RGB color model is used to perform parameter fusion and color representation of the lithological, sedimentary structural, and oil-bearing indices of the shale reservoir. Different types of lithofacies color templates established using core sections are used to identify the lithofacies types of shale oil and gas reservoirs throughout the well section. This method achieves three-parameter fusion identification of shale reservoir lithofacies types, which is more intuitive and convenient.