In this paper, 45 male faces and 45 female faces were collected to evaluate the texture of human face, gray level cooccurrence Matrix (GLCM) was used to extract the texture features of male and female faces, such as energy, contrast, correlation and entropy. T test was performed with SPSS17.0 software, and the results were compared and analyzed, the experimental results show that there are statistical differences between men and women in the four features. Based on the analysis of texture and pore depth, Pearson Correlation Coefficient is 0.9795, and the correlation between pore depth and texture is very strong.
In order to solve the problems of ghosting, deformation and skew matching in large parallax image mosaic, an improved SPHP method is proposed. The steps are as follows: 1. In the feature extraction stage, feature points are extracted by ASIFT algorithm; 2. In the feature matching stage, feature points are roughly matched by KNN algorithm, and feature points are purified by RANSAC algorithm; 3. In the image alignment stage, the spatial transformation model and similar transformation model are calculated by SPHP algorithm to correct the shape and effect of stitching; 4. In the image fusion stage, the linear weighted fusion algorithm is used to fuse the overlapping area. Compare with the traditional autostitch algorithm and SPHP algorithm, the experimental results show that the quality of the improves SPHP algorithm is significantly improved, and the normalized mutual information is improved by 1.4% compared with the SPHP algorithm.
A new method of splicing infrared thermal Unmanned aerial vehicle(UAV) image with special acquisition mode is presented. We used the bi-directional whiskbroom scanning frame infrared UAV (300,000 pixels) developed by the Shanghai Institute of Technical Physics,Chinese Academy of Sciences(SITP) to obtain the image of an area in haiyan,Zhejiang province.In order to get more accurate temperature data in a wide range, correction and optimization of the mosaic strategy of this infrared image are needed.In this paper, an orthographical correction model based on drone position and orientation system (POS) parameters was established, By optimizing scale invariant feature transform (SIFT) matching parameters and Random Sampling Consensus (RANSAC) algorithm, more reliable matching results were obtained.After rough calculation of adjacent images by image location to calculate whether it is an adjacent image, this can reduce the operation time of the splicing algorithm.The overlapping area images fused with the multi-resolution pyramid algorithm. Finally, the large area image and temperature inversion map of the study area were obtained. Inversion results showed that the error of temperature inversion less than 0.2 degree by comparing with the original temperature before unspliced.It can meet the subsequent application requirements of the UAV infrared image.
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