Semantic Scholar ResearchGate zentralblatt-math.org 相似文献 参考文献Etude des caracteristiques psychometriques des indicateurs de stress et de la resolution de problemes sociaux chez les stagiaires en enseignement (A Study ... Describes the methodology of an adaptation and validation of measurement inst...
掌桥科研 ResearchGate ResearchGate (全网免费下载) hdl.handle.net eprints3.math.sci.hokudai.ac.jp 查看更多 相似文献 参考文献Computation and analysis of image motion: A synopsis of current problems and methods The goal of this paper is to offer a structured synopsis of the problems in image moti...
open(im_file) stat = ImageStat.Stat(im) r,g,b = stat.mean return math.sqrt(0.241*(r**2) + 0.691*(g**2) + 0.068*(b**2)) RMS of pixels, then transform to "perceived brightness". def brightness( im_file ): im = Image.open(im_file) stat = ImageStat.Stat(im) r,g,b = ...
Image segmentation is the process of separating pixels of an image into multiple classes, enabling the analysis of objects in the image. Multilevel thresholding (MTH) is a method used to perform this task, and the problem is to obtain an optimal threshol
In recent years, there have been several solutions to medical image segmentation, such as U-shaped structure, transformer-based network, and multi-scale feature learning method. However, their network parameters and real-time performance are often neglec
Unfortunately, many application domains do not have access to big data, such as medical image analysis. This survey focuses on Data Augmentation, a data-space solution to the problem of limited data. Data Augmentation encompasses a suite of techniques that enhance the size and quality of training...
PROBLEM TO BE SOLVED: To simplify image processing of a drawing original of power-transmission distribution line or the like in a data editing system of power-transmission distribution line or the like. SOLUTION: In an image processing method, an original (1) is set so as to make a drawing...
[60] have emerged as a solution. However, with image data, feature disentanglement in high dimensional domains makes representing features with explicit values generally impossible. Figure3illustrates the difference. As described by Mo et al. [21], due to this disentanglement, general datasets ...
Deep learning emerges as a pivotal solution in this context. Owing to their intrinsic flexibility and powerful learning capabilities, deep neural network architectures stand out as optimal solutions for the challenges previously highlighted in image denoising. The advent and progressive development of deep...
First of all, AVIR is a general solution to image resizing problem. That is why it should not be directly compared to "spline interpolation" or "Lanczos resampling", because the latter two are only means to design interpolation filters, and they can be implemented in a variety of ways, ev...