44 results about "Higher order moments" patented technology

The present invention provides a pavement crack detection and identification method based on sparse representation classification. By introducing a sparse representation classifier (Sparse Representation-based Classifier, namely SRC), effective sub-block high-order moment features are selected to avoid image Pre-processing and post-processing are carried out to simplify the detection steps and improve the operating efficiency. Specifically, it includes: extraction and normalization of the feature vector of the training set (sub-block), extracting features from the test image into blocks and using SRC for classification, and identifying crack types according to the mapping code of the sub-block classification results. Compared with the traditional crack detection and recognition method, the method proposed by the invention has higher recognition accuracy and execution efficiency.

An extraction method of intelligent olfaction spectrum feature representing differences of honey based on an independent component analysis is characterized in that: the main component analysis is classified according to the maximization of variance between data, namely the secondary moment of data, and the independence of data in the high order moment is neglected; the independent component carries out transformation of matrix by utilizing the high order moment between data, thus related rows between feature vectors are further decreased, and the compressing effect of signals is strengthened; the discrimination rate is 94.94%, when the independent component is 14, the honey sample is 75 / 79, wherein the rape honey is 22 / 23, linden honey is 16 / 17, and acacia honey is 37 / 39.

The invention discloses a temperature measurement method based on the magnetization of magnetic nanometers. The main innovation of the method is that the influence of the particle size distribution of magnetic nanometer reagents on temperature measurement is considered, and the precise temperature measurement under the condition of unknown magnetic nanometer particle size distribution is realized. When a DC magnetic field is applied to the magnetic nano reagent, the magnetization signal under the excitation of different magnetic field strengths is detected; the temperature is accurately calculated by using the relationship between the magnetization of the magnetic nanoparticle and the temperature, concentration, and high-order moment of the particle size. When an AC magnetic field is applied to the magnetic nano reagent, the AC magnetization signal is collected, and the first and third harmonic amplitudes are detected; the relationship between the first and third harmonic amplitudes of the AC magnetization and temperature, concentration, and high-order moment of particle size is used Accurately solve for temperature. The invention optimizes and improves the temperature measurement method based on the magnetization intensity of magnetic nanometers based on a single particle size. From the experimental data, the temperature error of the optimized method for magnetic nanometer temperature measurement is less than 0.2K.